The Global Commercial Analytics (GCA) team within the Chief Marketing Office (CMO) organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world.  We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge Machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.

As a Senior Manager, Decision Analytics, you will lead teams delivering field force sizing, territory alignment, and commercial ROI analytics, while acting as a trusted thought partner to senior commercial, sales, and insights stakeholders. This role combines people leadership, technical depth, and strategic influence—owning analytics delivery end-to-end, setting analytical direction, and ensuring insights are translated into clear recommendations that drive business action. You will coach and develop high-performing analytics teams, define best practices, and ensure analytical rigor, scalability, and consistency across markets.

Analytics Strategy & Delivery Leadership

Own and lead delivery of field force sizing, territory alignment, and commercial ROI programs across brands, markets, and therapeutic areas.

Define analytical approaches, success metrics, and delivery roadmaps aligned to commercial strategy and business priorities.

Ensure consistency, scalability, and methodological rigor across analytics initiatives.

Team Leadership & Capability Building

Lead, coach, and develop teams of analytics managers and individual contributors.

Provide technical guidance on modelling approaches, data interpretation, and analytical trade-offs.

Build reusable frameworks, standards, and best practices to improve efficiency and quality of analytics delivery.

Field Force & Commercial Optimization

Guide advanced modelling for rep sizing, deployment, coverage, reach, frequency, and workload optimization.

Oversee complex scenario planning and simulations to evaluate strategic trade-offs and investment decisions.

Ensure analytics outputs directly inform GTM strategy and execution.

Commercial ROI & MMM Oversight

Provide senior-level oversight and technical direction for pharma MMM (e.g., regression/Bayesian models, ad-stock, saturation, carryover).

Translate MMM outputs into actionable budget allocation, ROI narratives, and investment recommendations.

Partner with cross-functional teams to embed ROI thinking into planning and performance management.

Stakeholder Management & Executive Storytelling

Act as a trusted analytics advisor to senior Commercial, Sales, and Insights leaders.

Lead executive-level discussions, clearly articulating insights, implications, and recommended actions.

Manage competing stakeholder priorities and align analytics delivery to enterprise goals.

Data, Platform & Architecture Collaboration

Partner with Analytics Engineering, Data Science, and Platform teams to shape data architecture and pipelines that support advanced analytics.

Ensure data quality, governance, and metric standardization across CRM, sales, claims, and market data sources.

Drive adoption of scalable analytics tools and platforms (e.g., Dataiku, Snowflake, Databricks).

Basic Qualifications

Bachelor’s or Master’s degree in Data Science, Engineering, Economics, or a related quantitative field.

9–12 years of experience in commercial pharma analytics, sales/marketing analytics, or decision analytics.

Demonstrated experience leading teams delivering complex analytics programs.

Skills:

Deep hands-on experience with field force analytics, territory alignment, GTM and commercial ROI / MMM.

Strong technical foundation in SQL, Python, Tableau/Power BI, Excel, and PowerPoint (Executive Storytelling).

Communication: Excellent verbal/written skills to elicit requirements, explain methodology, and present insights to senior business leaders.

Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.

Preferred/Good-to-Have

Experience operating in global, matrixed organizations.

Exposure to advanced statistical modelling and machine learning techniques.

Experience with cloud and big-data platforms (Snowflake, Databricks, Hadoop).

Prior experience influencing senior commercial leadership or executive committees.

PROFESSIONAL CHARACTERISTICS

Strategic Analytics Leader: Connects advanced analytics to commercial strategy and enterprise outcomes.

People Manager & Coach: Develops talent, builds high-performing teams, and fosters a culture of analytical excellence.

Executive Communicator: Translates complex analytics into clear, compelling narratives for senior leaders.

Delivery Owner: Balances rigor, speed, and pragmatism to drive results in ambiguous environments.

Stakeholder Partner: Builds trust, manages expectations, and influences decisions without formal authority.

Change Agent: Champions analytics-driven decision-making and continuous improvement.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.