Senior Manager, Data Science

Job Description

POSITION SUMMARY:

The Senior Manager of Data Science, you will play a pivotal role in shaping and driving the strategy, execution, and support of cutting-edge NMDP data and analytics solutions.

The role is responsible for leading the team in the design, development, and delivery of operational intelligence, predictive modeling and machine learning solutions.

Your role will help set the vision for the team function, advancing internal processes, and partnering closely with stakeholders to deliver proactive, value-add business insights focused on advancing business performance.

As a Senior Manager, you will play a critical role in harnessing the power of data to drive innovation, optimize strategies, and deliver actionable insights, ultimately contributing to our company's continued growth and success.

This individual will have tremendous passion for data and leveraging it to create material value for the organization.

This individual is someone who is bound to lead with a high-performance caliber mindset - guiding their team to deliver extraordinary results.

This person will be comfortable challenging the status quo, bringing forward innovative ideas, and fostering a continuous improvement culture.

ACCOUNTABILITIES:

Delivering Business Analytics Capabilities:


* Offers visionary thinking and strategic insight to shape and construct the enterprise's data strategy and vision.


* Partners closely with leaders of business units to deliver value add insights to inform future business planning, improve operations, increase efficiencies, and save more lives.


* Develop a deep understanding of available data to drive analysis and answer questions - prepare and champion business cases to expand data sets including 3rd party data assets.


* Strengthen and expand data science capabilities including methodology, best practices, and engagement model that delivers material outcomes including predictive models.


* Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.


* Deliver varying analyses, key insights, and recommendation through compelling visualizations to support key customers across the entire value chain.


* Manage centralized intake and prioritization channels; ensures robust and effective processes are in place cultivating strong partnerships.


* Identifies opportunities for increased efficiencies.

Designs and leads process and technology improvements to optimize efficiency and performance of the team.


* Partner with other leaders to develop and implement programs and resources to enhance data fluency across the organization, ensuring that team members at all levels are proficient in understanding and utilizing data effectively.


* Creates and maintains a solid understanding of the analytics industry - key...