Senior Director, Data Science Products Lead

Pfizer

. Lead the Data Science Products team and turn proven data science capabilities into governed, reusable products .

Posted 11/11/2026full-timeUnited StatesSenior💰 $230,900 - $384,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science product teams, developing and deploying statistical and machine learning models, and establishing operational standards for product management. Proficient in causal inference, time-series forecasting, and MLOps practices, with a strong focus on agentic systems and commercial impact evaluation.

Highest-signal resume keywords

Data Science Product LeadershipStatistical And Machine Learning Model DeploymentCausal Inference And Marketing Mix ModelingMLOps At ScalePython And SQL Proficiency

ATS Keywords

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Hard Skills

Statistical ModelingMachine LearningCausal InferenceTime-Series ForecastingBayesian MethodsIncrementality TestingMLOps PracticesPythonSQLGit/GitHub

Soft Skills

LeadershipTeam DevelopmentStrategic PlanningCollaborationCommunication

Tools & Technologies

DatabricksSnowflakeAWSCI/CDAutomated Testing

Industry Keywords

Healthcare Commercial DataProduct Operating ModelAgentic AIRegulated EnvironmentFederated Delivery

Tech Stack

Tools & technologies

AWSCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead the Data Science Products team and turn proven data science capabilities into governed, reusable products
Own strategy, roadmap, health, and capacity allocation across measurement, optimization, forecasting, and other product lines
Establish and run a global/shared operating model with methodology standards, shared codebase, intake and prioritization, quality standards, and best-practice forums
Own standards for measuring, versioning, and validating commercial impact, including incrementality tests and experiments
Set and review modeling methodology across Bayesian and causal marketing mix modeling, constrained optimization, incrementality and experiment design, and time-series and hierarchical forecasting
Apply engineering and architectural standards, ensuring a governed GitHub codebase and sound MLOps practices
Lead product evolution from analyst-run engines to agentic solutions that answer questions, run scenarios, explain drivers, and propose allocations within guardrails
Own standards for grounding, evaluation, guardrails, cost, traceability, and human oversight of agentic products
Interface with Applied Intelligence for incubation-to-product hand-offs and with Operations & Delivery and Business-Aligned teams for scaled delivery
Serve as senior point of contact for USA and International commercial, Finance, and brand leadership
Hire, develop, and retain senior technical Product Owners while stewarding headcount and funding
Work onsite 2 to 3 days per week in a hybrid arrangement

Requirements

What you’ll need

Bachelor’s degree in a quantitative discipline with 12+ years of relevant experience; OR Master’s degree with 10+ years; OR PhD with 7+ years
8+ years hands-on building and deploying statistical and machine learning models in production
Demonstrated depth in causal inference and marketing mix or incrementality modeling, including Bayesian methods, adstock and saturation, hierarchical pooling, response-curve estimation and constrained optimization
Working fluency in time-series forecasting, including hierarchical, probabilistic, or ensemble methods
Hands-on experience with LLM-based and agentic systems, including tool-using agents or natural-language interfaces over analytical models and pipelines, evaluation, guardrails, and human-in-the-loop controls
Strong, current Python and SQL
Proficiency with Git/GitHub, code review, CI/CD, and automated testing
Experience running MLOps at scale, including model registry, versioning, monitoring and drift detection, retraining, and reproducible pipelines
Experience with cloud data and ML platforms such as Databricks, Snowflake, or AWS
5+ years leading senior technical talent, product portfolios, or platform/CoE organizations
Demonstrated success enabling federated delivery and adoption of reusable, configurable products
Experience with pharmaceutical or healthcare commercial data
Ability to travel occasionally, approximately 10% or less
Permanent work authorization in the United States required
Preferred: PhD and/or MBA
Preferred: Experience supporting both USA and International commercial organizations
Preferred: Experience standing up a product operating model, platform team, or center of excellence
Preferred: Experience applying agentic AI in a regulated environment
Preferred: Experience designing incrementality tests and experiments
Preferred: Experience partnering with Finance and brand leadership
Preferred: Experience managing incubation/innovation and product/run organization interfaces

Benefits

Comp & perks

Global Performance Plan bonus target of 25.0% of base salary
Share based long term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental and vision coverage
Relocation assistance may be available based on business needs and/or eligibility