-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Miami, US-FL
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:05
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Hartford, US-CT
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:04
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Tampa, US-FL
Salary / Rate: Not Specified
Posted: 2026-06-27 10:17:01
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Dover, US-DE
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:58
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Wilmington, US-DE
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:55
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Denver, US-CO
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:53
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: San Francisco, US-CA
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:52
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Colorado Springs, US-CO
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:52
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: San Diego, US-CA
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:51
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Bridgeport, US-CT
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:51
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Sacramento, US-CA
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:50
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Little Rock, US-AR
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:49
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:49
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Fort Smith, US-AR
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:48
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:47
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:44
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:42
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:41
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:38
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:36
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:33
-
Essential Duties and Responsibilities:
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Function as point of contact for data and analytical usage across multiple projects, and guide operational partners on product performance and solution improvement/maturity options.
- Analyze extracted data, identify trends and provide insights and analyses around operations and project data.
- Develop and implement new metrics, functions, and scripts as KPIs as needed.
- Code to defined requirements to segment populations from large enterprise datasets, verify data accuracy, and output files per specifications.
- Create and maintain all documentation including obtaining and collecting artifacts as needed.
- Ad hoc tool development to support operational and under served analytical areas.
- Learning emerging technologies and systems of need for company initiatives.
- Activities to support team communication and strategy implementation (meetings, etc.).
- Project management activities.
- Integrate AI, machine learning, and advanced analytics into operational workflows to enable predictive insights, anomaly detection, and intelligent data validation.
- Support modernization of the data ecosystem through development of automated, scalable pipelines and adoption of cloud-based and modern data platform capabilities.
- Identify and implement automation and AI-assisted solutions to improve efficiency, reduce manual processes, and accelerate insight generation.
- Partner with cross-functional teams to integrate new data sources and contribute to the development of reusable, scalable data products and analytical frameworks.
- Apply and promote modern data best practices, including governance, data quality monitoring, and lineage, to ensure reliable and compliant analytics outputs.
- Evaluate, prototype, and enable emerging technologies, including AI-driven tools and self-service analytics capabilities, to advance analytics maturity and business accessibility to data.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Equivalent combination of education and experience considered in lieu of degree.
Additional Requirements as per contract/client:
- 2 years of experience coding (e.g., SQL, Python required.
- Working knowledge of Generative AI, AI, or Machine Learning concepts, including understanding their limitations and when to use AI versus deterministic approaches is required
- General knowledge of scripting and programming is required.
- Demonstrated experience using Generative AI tools (e.g., Copilot or similar) to accelerate work, such as generating or optimizing code/SQL, summarizing data, or drafting reports is required.
- Experience consistently applying sound professional and ethical judgment when using AI, particularly in the context of data governance, data pr...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:30
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:28
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:27
-
Essential Duties and Responsibilities:
- Serve as the point of contact and client interface for project technology related issues.
- Manage project expectations, evaluate project needs, and communicate with stakeholders to ensure that program needs are met with respect to urgency and priority.
- Review all project deliverables to ensure quality and accuracy meet project, stakeholder, and contractual standards.
- Execute all project management functions; including work breakdown, monitoring and tracking of technical progress against the defined timetables, budgets, staff assignments and developments.
- Lead and direct the successful delivery of services while ensuring that assigned projects adhere to the approved life cycle work patterns, standards, and procedures for solution delivery.
- Provide detailed direction during various stages of the lifecycle to include requirements analysis, testing and potentially programming support.
- Identify, track, manage, and communicate risks and issues with stakeholders and upper management.
- Assure the project is in compliance with company standards and procedures.
Job-Specific Essential Duties and Responsibilities:
- Determine and define projects and objectives.
- Manage project planning efforts and documentation.
- Maintain project portfolio through established tools and processes.
- Develop and manage a detailed project schedule and work plan.
- Lead project meetings and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress.
- Collaborate with team members, executive leadership, clients, and other key stakeholders for efficient and successful project execution.
- Track project costs in order to meet scope, budget, and timeline.
- Measure project performance to identify areas for improvement.
- Monitor progress and make adjustments as needed.
- Oversee the change management process within the program.
- Utilize project management software tools, methodologies, and best practices through full life cycle of projects.
Minimum Requirements
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- Bachelor's degree in computer science or related field.
Equivalent combination of education and experience considered in lieu of degree.
- 5+ years of relevant professional experience required.
- Experience successfully developing and deploying IT solutions using various development methodologies (e.g., waterfall, iterative, etc.).
- Must have experience facilitating Agile Scrum ceremonies.
- Experience working with stakeholders to ensure alignment of project goals.
- Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint.
- Experience with project management tools and software, such as MS Project or JIRA.
Job Specific Preferred Skills and Qualifications:
- Relevant industry experience to include government service...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-06-27 10:16:26
