Senior Manager, Network Productivity Data Science

Use Your Power for Purpose

At Pfizer, our mission is to drive excellence and innovation in our operations, empowering colleagues and enabling simple, effective processes. As Senior Manager, Network Productivity Data Science, you will play a pivotal role in advancing our strategy by leveraging advanced analytics and data science to improve productivity, drive digital transformation, and develop knowledge graphs. Your leadership will help deliver breakthroughs that change patients' lives by enabling evidence-based decision-making and fostering a culture of continuous improvement across Global BioPharma Manufacturing (GBM). 

What You Will Achieve

Your expertise in data science and operational excellence will ensure that our productivity initiatives are data-driven, impactful, and aligned with global business strategies. You will collaborate with cross-functional teams to design and implement analytical models, transform raw data into strategic insights, and support the adoption of advanced analytics across the organization. Your work will facilitate the digital amplification of our operations and contribute to the development and deployment of knowledge graphs for operational excellence. 

Key Responsibilities 

• Develop predictive and analytical models used in productivity assessments across the full organization (GBM).

• Query and analyze operational and financial data to identify productivity improvement opportunities.

• Support benchmarking and scenario planning for network optimization.

• Partner with senior leaders across the organization to identify and validate high-impact opportunities.

• Oversee the development and application of knowledge graphs and advanced analytics to enhance operational performance.

• Build and manage data pipelines in collaboration with data engineers, extracting and transforming datasets from platforms such as Snowflake SQL.

• Visualize complex data in accessible formats for diverse audiences, enabling evidence-based decision-making.

• Translate manufacturing and financial data into strategic recommendations for operational teams.

• Support training and enablement efforts to elevate data literacy and analytics capabilities across the organization.

• Drive the adoption of AI technologies and data-driven practices to enhance performance and efficiency.

• Collaborate with leadership to align analytics initiatives with evolving strategies and business needs.

Here Is What You Need (Minimum Requirements)

• Applicant must have a bachelor's degree with at least 6 years of experience; OR a master's degree with at least 5 years of experience; OR a PhD with 1+ years of experience

• Experience driving data science, analytics, and operational excellence initiatives, with proven success in leading cross-functional teams.

• Advanced proficiency in Python and SQL, complemented by expertise in visualization tools such as Tableau and Power BI.

• Strong foundation in statistical modeling and predictive analytics, leveraging data science methodologies to deliver actionable insights.

• Demonstrates a pragmatic approach with consistent evaluation to ensure outcomes are logical and appropriate.

• Exceptional ability to analyze complex datasets, uncover trends, and design sustainable strategies that optimize performance.

• Thrives in dynamic, ambiguous environments by creating innovative solutions to evolving business challenges.

• Skilled at translating technical analytics into clear, strategic recommendations for stakeholders across all organizational levels.

• Proven track record in managing end-to-end analytics projects, prioritizing deliverables, and achieving measurable results.

• Collaborative leader adept at influencing decisions and fostering alignment among diverse, cross-functional teams.

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Bonus Points If You Have (Preferred Requirements)

• Experience with graph databases (e.g., neo4J, Cypher Query Language) is highly desirable.

• Strong knowledge of SAP and financial systems (Enterprise Performance Management EPM, Hyperion Financial Management HFM, Mosaic) preferred.

• Strong knowledge of supply chain management preferred.

• Deep understanding of manufacturing processes and biopharma operations, ensuring data-drive