Senior Director, Data Engineering

Pfizer's commitment to creating breakthroughs that change patients' lives is deeply embedded in our culture as a science-driven and patient-focused company. Central to this commitment is our use of digital technologies, AI, data, and analytics, which drive innovation across our organization.

In this pivotal leadership role, the Senior Director, Data Engineering will define and execute the vision and strategy for Pfizer's AI, Data & Analytics (AIDA) Data Engineering and Data Excellence portfolio. This leader will be responsible for building and scaling robust, high-performance data platforms and pipelines that power advanced analytics, machine learning, and AI capabilities across the Commercial, R&D, and PGS (Supply Chain) organizations. Their work will be instrumental in enabling real-time insights, accelerating data-driven decision-making, and driving innovation across these critical domains.

The Senior Director will lead a multidisciplinary team of data engineers, architects, and platform specialists, fostering a culture of technical excellence, continuous improvement, and customer-centricity. They will champion modern engineering practices, including CI/CD, data observability, and governance, while ensuring the seamless integration of structured and unstructured data sources. A key focus will be on scaling ML Ops infrastructure to support experimentation, model deployment, and monitoring at enterprise scale.

Collaboration will be essential to the Senior Director's success. They will work closely with internal stakeholders such as the AI Center of Excellence, Commercial, Supply Chain (PGS), R&D vertical teams, to align on strategic priorities and optimize resource allocation. The role will also involve identifying and cultivating external partnerships to enhance Pfizer's data engineering capabilities and accelerate innovation.

Through visionary leadership and a deep understanding of data engineering, the Senior Director will empower their team to deliver scalable, secure, and reusable data products & solutions. Their efforts will directly support Pfizer's mission to transform business operations through data and AI, advancing the company's commitment to scientific discovery, commercial excellence, and supply chain resilience.

Role Responsibilities

Leadership

• Provide strategic direction and oversight to the Data Engineering & Excellence team with approximately 20 direct reports.
• Build trusted relationships and strong partnerships with other departments and teams.
• Foster a collaborative and high-performing team environment.
• Mentor and develop team members.
• Foster a culture of innovation and continuous improvement.
• Recognized internally and externally as a technical/functional expert.
• Leverage expertise across Division or Global Business Unit.
• Anticipate, oversee, or influence continuous improvement.
• Manage and utilize significant resources outside of direct authority.
• Develop solutions to highly complex or unique problems.
• Sponsor and lead teams that set strategic direction.

AI, Data & Analytics, Data - Engineering Operational Excellence

• Design and manage cross-team agile portfolio management.
• Drive cross-domain prioritization, focus, impact, measuring outcomes.
• Collaborate with partner teams to accelerate delivery.
• Collaborate on financial stewardship, budgeting, forecasting.

AI and Data Engineering Platform Delivery Excellence & ML Ops Scalability

• Lead cross-functional teams in the design, development, and management of enterprise-scale AI, data, and analytics platforms.
• Architect and scale ML Ops infrastructure.
• Drive customer-centric platform and product delivery.
• Champion engineering best practices.

Program Management

• Frame and execute projects and initiatives.
• Champion customer-centric, agile and product-focused mindset.
• Ensure shared understanding of program objectives.
• Establish partnerships across the organization.

Qualifications

• Proven experience designing, implementing, and delivering data products.
• Deep expertise in modern data architecture.
• Transformational leader with an entrepreneurial mindset.
• Experienced in leading multidisciplinary teams.
• Demonstrated success in building data products and scaling ML Ops infrastructure.
• Skilled in driving engineering data products.
• Inclusive leader who fosters collaboration.
• Strong communicator with the ability to simplify complex technical concepts.
• Recognized for earning credibility with senior leadership.
• Demonstrated ability to attract, develop, and retain top engineering talent.
• Skilled in introducing innovation and leading cross-functional change efforts.
• Bachelor's degree in a relevant field with 12+ years of progressive leadership experience.
• Demonstrates a breadth of diverse leadership experiences.

Travel up to 25% may be required for business activities. Work Location Assignment: Hybrid. Last Date to Apply for Job: 8/22/2025.