Director, Applied Intelligence at Pfizer in New York City, NY

Director, Applied Intelligence Location: United States - New York - New York City Role Summary As Director of Applied Intelligence, you will report to the Senior Director, Applied Intelligence and lead delivery of rapid, high-impact AI/ML prototypes that inform enterprise investment and scaling decisions.  You will be a lead on a high-velocity, elite team purpose-built to do one thing exceptionally well: take the hardest, most ambiguous AI/ML problems and rapidly determine whether they are solvable, how they should be solved, and what it will take to make them real at scale. You will de-risk high-impact AI/ML investments through fast, disciplined experimentation. This is not a sandbox. Every proof of concept you produce will be built with the engineering hygiene of production code, because the best prototypes become the foundation of enterprise systems. Your work will directly shape what gets scaled, what gets killed, and where the organization invests next. You will operate at the intersection of AI innovation, engineering discipline, and business urgency. You will be the first call when something matters and nobody knows the answer yet. Role Responsibilities Technical Delivery and Team Leadership 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 Rapid Prototyping and Experimentation 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 Engineering Hygiene and MLOps 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 Partnership 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 Stakeholder Communication 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 Basic Qualifications 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 Preferred Qualifications Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Computational Biology, Engineering, or related quantitative field Prior experience leading prototype teams, innovation labs, or applied AI delivery teams inside large enterprises Familiarity with cloud-agnostic ML deployment patterns and production practices, including model deployment, monitoring, container orchestration, and enterprise data governance suitable for regulated environments Experience creating reusable engineering patterns, templates, and runbooks for broader organization use Track record of hiring and developing senior individual contributors Work Location Assignment: Hybrid Last Date to Apply for Job: 5/5/2026 The annual base salary for this position ranges from $176,600.00 to $294,300.00. 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. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.  These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure.  Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.  Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.  If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer.  This position requires permanent work authorization in the United States. Pfizer endeavors to makewww.pfizer.com/careersaccessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please emaildisabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Information & Business Tech Additional Locations: United States - Pennsylvania - Collegeville, Canada - Quebec - Kirkland