Program Manager, R&D DP&TS Platform and Data Engineering

Pfizer
Tadworth
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics Manager - Heartwood Collection

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Director - Program Manager, R&D DP&TS Platform and Data Engineering

1 day ago Be among the first 25 applicants


Role Summary

Pfizer’s mission to deliver breakthroughs that change patients’ lives is rooted in our commitment to science and innovation. Within Discovery, Preclinical, and Translational Solutions (DP&TS), we accelerate the journey from target identification to clinical translation by leveraging advanced digital technologies, AI, and data-driven insights.


Program Manager Overview

We are seeking a Program Manager to lead the vision, strategy, and roadmap for foundational platform services, infrastructure hosting, and data architecture and engineering. This role will orchestrate programs that deliver core capabilities—such as cloud-native infrastructure, data integration frameworks, and secure analytics environments—that power advanced computational science across R&D. Reporting to the Senior Director of DP&TS Platform and Data Engineering, you will oversee program governance, manage cross‑functional execution, and ensure delivery of secure, scalable, and compliant solutions. You will partner with engineering, product, and scientific stakeholders to translate research needs into actionable capabilities, while championing automation, interoperability, and DevSecOps principles to accelerate innovation globally. The ideal candidate brings deep expertise in program management for platform and data solutions, experience with agile delivery, and the ability to adapt approaches to meet the evolving needs of our teams, stakeholders, and organizational culture.


Role Responsibilities

A typical day in this role centers on program management activities such as understanding new demand, managing intake requests, allocating resources, and prioritizing initiatives to ensure alignment with strategic goals. You’ll regularly conduct backlog grooming, facilitate cross‑functional collaboration, and oversee program governance to deliver secure, scalable, and compliant platform solutions that support global R&D efforts.


Key Responsibilities
Leadership & Strategy

  • Build and lead a high‑performing platform team, fostering a culture of technical excellence, innovation, and accountability
  • Mentor and grow talent, encouraging cross‑functional collaboration and continuous learning in support of platform and stream team success
  • Contribute to the overall DP&TS platform strategy and roadmap, ensuring platform investments deliver maximum value to stream‑aligned teams and the broader organization
  • Evaluate and adopt emerging technologies to future‑proof platform services and support evolving business needs

Platform Enablement & Service Orientation

  • Design, deliver, and continuously improve platform services, infrastructure, and data engineering capabilities that empower stream‑aligned teams to build and operate customer‑facing solutions efficiently
  • Develop and maintain self‑service capabilities, documentation, and onboarding processes to maximize stream team autonomy and minimize cognitive load
  • Actively gather feedback from stream‑aligned teams to evolve platform offerings and ensure alignment with their needs and business priorities

Collaboration & Stakeholder Engagement

  • Serve as the primary interface between the platform team and stream‑aligned teams, facilitating adoption of platform services and supporting integration of reusable components
  • Partner with engineering, data science, and product teams to ensure timely delivery of platform features that accelerate solution development for stream teams
  • Engage with external technology partners and vendors to expand platform capabilities and bring best practices into the organization

Technical Excellence & Continuous Improvement

  • Own the lifecycle of platform and data engineering solutions, ensuring they are robust, scalable, secure, and compliant with regulatory requirements
  • Champion automation, interoperability, and DevSecOps principles to streamline platform operations and enable rapid delivery for stream teams
  • Establish and track KPIs to measure platform adoption, impact, and enablement of stream‑aligned teams

Governance & Compliance

  • Ensure all platform services adhere to internal governance, data privacy, and regulatory standards, supporting audit readiness and documentation
  • Promote responsible AI and data practices, emphasizing transparency, fairness, and explainability in platform development

Basic Qualifications

  • Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)
  • 8+ years of experience in technical program or product management, with a strong emphasis on platform engineering, infrastructure, and data solutions
  • 3+ years leading platform teams or delivering platform services that enable multiple stream‑aligned teams, ideally in a scientific, regulated, or enterprise environment
  • Proven track record of building and operating large-scale data and ML platforms in a scientific or regulated environment
  • Experience in pharma, biotech, or healthcare is highly desirable
  • Proven success working in matrixed organizations and building trusted partnerships with science, data, and technical teams
  • Experience with agile methodologies, DevOps/DevSecOps practices, and fostering self‑service capabilities for internal teams
  • Experience in the life sciences or pharmaceutical industry, particularly in R&D or translational research
  • Familiarity with GxP, HIPAA, and regulatory requirements related to R&D data
  • Exceptional leadership, communication, and stakeholder management skills
  • Candidate demonstrates a 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

Non-standard Work Schedule, Travel Or Environment Requirements

Travel up to 10% may be required for business activities. Work Location Assignment: On Premise.


The annual base salary for this position ranges from $156,600.00 to $261,000.00. 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.


The annual base salary for this position in Tampa, FL ranges from $141,000.00 to $235,000.00.


Relocation Assistance

Relocation assistance may be available based on business needs and/or eligibility.


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.


Information & Business Tech

Information & Business Tech


Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Project Management and Information Technology


Industries

Pharmaceutical Manufacturing


Referrals increase your chances of interviewing at Pfizer by 2x


Sign in to set job alerts for “Program Manager” roles.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.