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Director, PX & Office of CEO Forward Deployed Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Pfizer, S.A. de C.V
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 141000 - 235000 USD Yearly USD 141000.00 235000.00 YEAR
Job Description & How to Apply Below

Director, PX & Office of CEO Forward Deployed Engineer

  • United States - Washington – Bothell
  • United States - New York - New York City
  • United States - Pennsylvania - Collegeville
We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting‑edge smart technology that profoundly impacts the lives of our patients.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

The Forward Deployed Engineer (FDE) is a hands‑on technologist and trusted innovation partner to People Experience (PX), Global Workspace Experience (GWE), Global Security (GS) and Office of CEO – embedded at the intersection of global business processes, transactional data and enterprise technology. Operating within Pfizer Digital & Technology’s Enabling Functions (EF) Forward Impact Engineering team, this role translates bold ideas into working AI and data‑driven prototypes that accelerate the way we discover, develop, and deliver innovative solutions.

FDEs work in small, mission‑focused Pods aligned to specific EF domains such as Finance, GBS, PX and Legal/Compliance. Each Pod pairs an FDE with a Product Manager to co‑own a domain’s innovation backlog—from idea intake through proof‑of‑concept delivery and transition to enterprise scale.

The ideal candidate brings a rare combination of engineering depth, creative problem solving, and business fluency. They are equally comfortable writing code, influencing senior leaders, and connecting across organizational boundaries. A FDE thinks like an AI architect, builds like a full‑stack engineer, and operates like a strategic partner—driving measurable impact through technology that advances science.

Key Responsibilities

Rapidly design and build AI‑ and data‑driven prototypes addressing high‑value PX, GWE, GS and Office of CEO use cases (e.g., predictive modeling, scientific data integration, knowledge assistants, document intelligence, or lab automation).

Collaborate with enterprise data, platform, and engineering teams to ensure scalability and secure handoff of validated solutions.

Apply best practices in software development, data science, and MLOps to deliver maintainable, well‑documented prototypes.

Partner with PX, GWE, GS and Office of CEO Leadership

Serve as the primary AI and technology thought partner for senior leaders (VP/SVP level).

Translate scientific and operational pain points into technical opportunities with clear business value.

Influence decision‑makers through demonstrations, storytelling, and measurable outcomes.

Shape the Innovation Backlog

Work with Product Managers to source, assess, and prioritize ideas in the PX, GWE, GS and Office of CEO Innovation Backlog.

Conduct feasibility assessments and align solutions to enterprise architecture, data governance, and AI safety standards.

Help define success metrics, business cases, and transition plans for scaled adoption.

Enable Collaboration Across Digital & Technology & PX, GWE, GS and Office of CEO

Build bridges between research scientists, enterprise Digital & Technology, data engineering, and AI platform teams.

Share learnings and reusable assets across Pods to accelerate innovation velocity.

Mentor emerging technical talent and help establish the culture of AI in service of science.

Qualifications

Bachelors degree in Computer Science, Data Science, Engineering, or related technical field (PhD or Master’s preferred) or equivalent professional experience.

10+ years of experience in software engineering, data science, or applied AI, including 3+ years in a lead technical or product innovation role.

Proven ability to build working prototypes and AI applications using modern languages and frameworks (e.g., Python, PyTorch, Tensor Flow, Lang Chain, FastAPI).

Deep understanding of data platforms, APIs,…

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