Senior Business Analyst/Architect - AI & Enterprise Systems

Who We Are

PAC is a leading global provider of advanced analytical instruments for laboratories and process environments in hydrocarbon processing industries.

Customers choose PAC's instruments to provide the cutting-edge technology required to maintain regulatory compliance and to improve productivity.

Your Role

The Senior Business Analyst / Architect - AI & Enterprise Systems will play a pivotal role in driving PAC's business intelligence and AI strategy.

This individual will lead the enablement of AI and advanced analytics within existing enterprise systems - including ERP (Oracle EBS, Hyperion), Incorta, Tableau, Power BI and CRM - to enhance forecasting, analytics, and decision-making.

In the long term, this role will define the architectural vision for future AI-driven data applications and pipelines, ensuring that PAC's data ecosystem is scalable, intelligent, and strategically aligned with business goals.

Key Responsibilities:


* Lead AI-enablement of existing enterprise systems (ERP, Hyperion, Incorta, Tableau, CRM) to enhance forecasting, analytics, and decision-making.


* Serve as the subject matter expert for data integration and analytics architecture across PAC's business functions.


* Collaborate with business stakeholders to define, prioritize, and deliver AI and BI initiatives that improve visibility and performance.


* Develop data models, schemas, and dashboards in BI tools such as Incorta or Tableau, ensuring usability and performance across large data sets.


* Design and optimize ETL/ELT solutions integrating data from ERP, CRM, and operational systems.


* Establish standards for data governance, quality, and AI model integration within PAC's enterprise ecosystem.


* Partner with IT and analytics teams to define the long-term architecture for AI-driven data applications and pipelines.


* Provide leadership, mentorship, and training to junior analysts and developers on BI and AI technologies.


* Collaborate with cross-functional teams to identify opportunities for predictive analytics, automation, and intelligent reporting.

Education and Experience
Required:


* Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field.


* 3+ years of experience in business intelligence, data analytics, or enterprise systems integration.


* 5 years of experience in data warehousing, ETL, and BI architecture principles.


* Minimum 3 years of experience with a primary business intelligence platform (Power BI, Tableau, Incorta, or equivalent).


* Experience integrating data from ERP systems (Oracle EBS, Hyperion) and CRM platforms.


* Proficiency in SQL for data modeling, transformation, and performance tuning.


* Familiarity with AI/ML concepts and their practical application in analytics and forecasting.


* Excellent analytical, problem-solving, and communication skills.

Preferred:


* Experience architecting AI or machin...