Director, Enterprise Architect – AI & Data

Role Summary

The Director, AI & Data is responsible for directly overseeing and organizing wide‑reaching Pfizer initiatives through digital‑wide initiatives, or via horizontal platforms and products. As an individual contributor, your primary impact is through your direct work. You are a widely recognized expert in your technical domain able to articulate clearly at a deep technical level and you are equally comfortable with forming business objectives and producing clear business‑facing outcomes.

• Support business strategies and priorities across all domains in Pfizer involving AI & Data Enterprise Architecture.
• Deliver Enterprise Architecture Outcomes including creation of detailed Solution Sketches, City Plans, and Solution Architecture Diagrams as necessary.
• Lead multifaceted, unique, and long‑term initiatives with high strategic value, directing colleagues and contractors to produce Enterprise guidance and roadmaps across multiple business lines and global organizations.
• Influence and direct a cross‑functional team from creation centers, business architects and technical SMEs towards a common technical vision.
• Advise Senior leadership on emerging technology landscape externally and internally and enable adoption to minimize total cost of ownership and an optimized application portfolio.
• Lead initiatives to bring new technology into Pfizer including the contracting process, co‑leading RFIs and RFP responses, and producing a technical fit assessment of each vendor.

• Establish and enforce enterprise‑wide AI standards, governance frameworks, and guardrails to ensure responsible, ethical, and compliant development and deployment of AI solutions across the organization.
• Design and architect a centralized AI platform that supports scalable model development, deployment, monitoring, and lifecycle management for commercial, clinical, and operational use cases.
• Lead the integration of AI/ML solutions into business workflows, ensuring alignment with standardized processes, regulatory requirements, and enterprise architecture principles.
• Develop and maintain architecture roadmaps for data and AI capabilities, aligning technology investments with evolving business models and strategic priorities.
• Drive the adoption of cloud‑based data and AI platforms, enabling secure, compliant, and interoperable data pipelines and analytics across business units.
• Establish and oversee data governance frameworks—including master data management, data lineage, and metadata standards—to support high‑quality, compliant data for AI and analytics.
• Lead the evaluation and implementation of emerging AI technologies (e.g., generative AI, federated learning, synthetic data) to accelerate digital transformation and maintain competitive advantage.
• Collaborate with cross‑functional teams to embed AI‑driven decision support into commercial, clinical, and operational workflows, enhancing business agility and innovation.
• Mentor and guide data engineers, data scientists, and business analysts, fostering a culture of innovation, continuous learning, and best practices in data and AI architecture.

• Dedicated to meeting the expectations and requirements of internal and external customers; gets first‑hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
• Understands customers’ operational needs and leads strategic direction in both technical and business context.
• Translates complex business requirements into actionable plans while getting to the root of those requirements and completely understanding the space which you’ll be operating under. You will be responsible for both understanding the business context and providing alternatives to the business plan in addition to translating those to technical blueprints.
• Anticipates internal/external business and GCP compliance issues before they arise, and engage the proper colleagues in the organization to fully document the landscape and provide mitigation strategy and…