Director, AI Experimentation & Measurement
Overview
Pfizer US Commercial is scaling a portfolio of AI initiatives, each launched as an experiment measured against a real-world baseline. The value of this portfolio depends on a shared, credible definition of what good looks like plus the evidence to prove it.
About the role
This is a build-from-scratch role for someone who can see across a whole portfolio, frame the questions that matter most, and hold the independence to say when a result does not clear the bar. You will own the portfolio-wide standard for what counts as proof, draft and socialize pre-registered success criteria for each initiative, maintain a shared measurement playbook, prioritize what the portfolio must prove next, design experiments, produce evidence narratives, and manage evidence governance.
Responsibilities
Success criteria & proof standards: Own the portfolio-wide standard for what counts as proof—defined before work begins, not after results land. Draft and socialize pre-registered success criteria for each initiative (primary KPIs, guardrails, minimum detectable effect, read windows). Maintain a shared measurement playbook (matched controls, power calculations, blinded review, backtesting where appropriate).
Portfolio learning agenda: Prioritize what the portfolio must prove next—and in what sequence evidence compounds. Maintain a ranked learning agenda across initiatives and recommend the next proof point per initiative.
Experiment design & statistical rigor: Review experiment designs: control arms, audience matching, read windows, confounders, data leakage risks. Run power analysis and flag underpowered or ungradeable designs before launch.
Evidence narrative for senior leaders: Produce evidence read memos on a fixed cadence: what was tested, what was observed, what it means, what is recommended. Synthesize across initiatives into one portfolio story—not a patchwork of disconnected scorecards.
Measurement integrity & bias controls: Guard against failure modes that quietly invalidate results: moving goalposts; letting the people a system is meant to outperform grade it; acting before pre-registered proof exists. Escalate when a read is not gradeable.
Evidence governance & readout cadence: Run evidence read sessions at pre-registered dates; own continue / adjust / stop recommendations with rationale; track whether recommendations are acted on.
Qualifications
Experience: 8+ yrs (Bachelor's) 7+ yrs (Master's) 5+ yrs (PhD), spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline — paired with strategy or product-facing work.
Required Qualifications: Bachelor's degree required with 8+ years of relevant experience spanning experimentation, measurement science, causal inference, or a quantitatively rigorous discipline — paired with strategy or product-facing work.
Systems thinking: sees across an entire portfolio, frames the questions that matter most, and designs how proof compounds over time rather than optimizing one test at a time.
Storytelling and executive presence: turns a rigorous, technical result into a clear, persuasive narrative that shapes senior decisions.
Experiment design and causal credibility: has designed and defended controlled experiments at enterprise scale: power analysis, matched controls, quasi-experimental methods, pre-registration.
Independence and spine: able to tell a senior stakeholder that a result does not clear the bar, and make it stick.
AI fluency: evaluates AI/ML and generative systems credibly: what a real performance signal looks like versus a plausible artifact.
Preferred Qualifications
Regulated-industry measurement experience.
Provenance, auditability, and responsible-AI evaluation frameworks.
Experience standing up an experimentation or evidence function from scratch.
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.
Other Job Details
Last Date to Apply for Job: July 26, 2026.
Ability to travel based on business needs.
This position is hybrid and requires working onsite 2 to 3 days per week.
The annual base salary for this position ranges from $162,900.00 to $271,500.00.
In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program.
We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments.
Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage.