Director, Applied Intelligence

Pfizer

. Lead day-to-day technical delivery of applied AI projects, participating in architecture, code reviews, and prototyping .

Posted 4/29/2026full-timeNew York City • New York, Pennsylvania • 🇺🇸 United StatesLead💰 $176,600 - $294,300 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead day-to-day technical delivery of applied AI projects, participating in architecture, code reviews, and prototyping
Mentor and develop individual contributors, set team standards, and recruit talent to accelerate delivery
Maintain hands-on involvement in modeling, data pipelines, and integration work to preserve technical credibility
Run 2 to 6 week prototype cycles: define scope, design experiments, deliver evaluation metrics, and recommend clear go/no-go decisions
Translate ambiguous commercial problems into testable hypotheses and rapid experiments that produce actionable results
Remain deeply hands-on in AI/ML engineering and prototyping
Ensure prototypes follow robust engineering practices: version control, CI/CD for models, containerization, reproducibility, automated tests, and clear documentation
Apply MLOps principles for deployment-ready artifacts, including model monitoring and rollback strategies appropriate for regulated environments
Promote modular, reusable code and extraction of common patterns to reduce rework
Prepare validated prototypes for structured handoff to industrialization, production, or IT teams with runnable artifacts, runbooks, and acceptance criteria
Collaborate closely with partner Analytics, Data Science, and IT teams to ensure prototypes align with enterprise architecture and standards
Support scaled rollouts by providing implementation support during transition from build to operations
Communicate prototype results, limitations, and recommended next steps to the Senior Director, product owners, and business stakeholders in clear, outcome-oriented terms
Deliver concise executive summaries and data-backed recommendations to inform prioritization and funding decisions

Requirements

What you’ll need

8+ years of experience in AI/ML, data science, or applied research with substantial hands-on technical delivery with a BA/BS, 7+ years with an MS/MBA or 5 years with a PhD
Active proficiency in Python and modern ML frameworks; regular coding and technical leadership in production or prototype contexts
Strong practical experience with MLOps, model lifecycle management, CI/CD concepts, containerization, and reproducibility tooling
Demonstrated ability to design and deliver scalable AI/ML solutions while operating in fast, resource-constrained prototype environments
Proven track record applying AI/ML to commercial functions in pharmaceutical or life sciences settings, delivering measurable business impact such as improved forecasting, segmentation, or real-world evidence analytics
Excellent stakeholder communication skills and experience presenting results and recommendations to senior leaders
Experience working in regulated industries such as pharmaceutical, biotech, medical devices, or financial services

Benefits

Comp & perks

health benefits to include medical, prescription drug, dental and vision coverage
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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIMLPythonMLOpsmodel lifecycle managementCI/CDcontainerizationreproducibilitydata pipelinesprototyping

Soft Skills

mentoringcommunicationleadershipcollaborationproblem-solvingstakeholder engagementorganizational skillsdecision-makingpresentation skillsteam standards