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 to a deep technical level and you are equally comfortable with forming business objectives and producing clear business-facing outcomes.

Responsibilities

• Domain Expertise – Data & AI: 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.
• Domain Expertise – Data & AI: Design and architect a centralized AI platform that supports scalable model development, deployment, monitoring, and lifecycle management for commercial, clinical, and operational use cases.
• Domain Expertise – Data & AI: Lead the integration of AI/ML solutions into business workflows, ensuring alignment with standardized processes, regulatory requirements, and enterprise architecture principles.
• Domain Expertise – Data & AI: Develop and maintain architecture roadmaps for data and AI capabilities, aligning technology investments with evolving business models and strategic priorities.
• Domain Expertise – Data & AI: Drive the adoption of cloud-based data and AI platforms, enabling secure, compliant, and interoperable data pipelines and analytics across business units.
• Domain Expertise – Data & AI: 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.
• Domain Expertise – Data & AI: 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.
• Domain Expertise – Data & AI: Collaborate with cross-functional teams to embed AI-driven decision support into commercial, clinical, and operational workflows, enhancing business agility and innovation.
• Domain Expertise – Data & AI: 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.
• Service Delivery: Dedicated to meeting the expectations and requirements of internal and external customers; builds strong relationships and ensures customer-centric outcomes.
• Service Delivery: Understands customers’ operational needs and leads strategic direction in both technical and business contexts.
• Service Delivery: Translates complex business requirements into actionable plans and technical blueprints, balancing business context with feasible technical solutions.
• Service Delivery: Anticipates internal/external compliance issues and documents landscape with mitigation strategies and business continuity plans.
• Strategy & Planning: Uses innovative thinking to challenge the status quo and drive identification, quantification, and proposal of business solutions.
• Strategy & Planning: Creates and leads Enterprise Architecture initiatives to stay ahead of the technological curve, identifying technologies and solutions before implementation.
• Strategy & Planning: Creates actionable enterprise-level plans to simplify technology systems across the ecosystem.
• Architecture: Understands business drivers and capabilities and determines enterprise system designs and change requirements to drive outcomes.
• Architecture: Accountable for solution implementation approach, building consensus, and providing technical execution oversight.
• Architecture: Knowledgeable about constraints in healthcare and able to educate others on guidance.
• Architecture: Understands modern cloud architecture best practices and is proficient with AWS and Azure architectures.
• Architecture: Maintains technology profiles, influences and enforces technology standards across the enterprise.
• Communication: Recognized thought leader who can influence strategic direction at global levels and build cross-functional partnerships.
• Communication: Manages stakeholder relationships and ensures effective communication across the portfolio.
• Innovation and Risk Taking: Fosters an environment where innovation is standard and risks are managed appropriately.
• Innovation and Risk Taking: Removes roadblocks while ensuring compliance controls are met.
• Financial Management: Manages team budget resources and participates in financial planning for projects and programs.
• Financial Management: Co-develops business plans for strategic initiatives and EA efforts.
• Matrixed Team Effectiveness: Demonstrates strong presentation and facilitation skills; negotiates and resolves conflicts; ensures access to project information for all team members.
• Matrixed Team Effectiveness: Evaluates vendor proposals to augment internal capabilities and service delivery.

Qualifications

• Basic Qualifications: Bachelor’s Degree or Master’s degree from an accredited institution; 8+ years of experience in AI & Data Technology; deep technical knowledge of AI & Data programs and patterns in high-tech or pharma domains; strong interpersonal and leadership skills even without direct management; strong diplomacy and execution mindset.
• Preferred Qualifications: 5+ years of experience with pharma-compliant processes (FDA, GxP); 5+ years of leading design and architecture of AI & Data solutions across procurement, manufacturing, logistics, and planning; experience with data-driven insights to inform decision making and AI-driven programs.

Education

• Bachelor’s Degree or Master’s Degree from an accredited institution

Additional Requirements

• Pfizer Digital is a 7x24x365 global endeavor. The role may require weekend, holiday, or after-hours participation.