Vice President, Build — Data, Engineering & AI

Role purpose

The VP, Build — Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production‑grade data, AI agents, solutions and technical services. The role owns the International commercial data foundation, engineering pool, solution architecture, AI evaluation, Agent Ops, production run, technical standards, vendor/Systems Integrator delivery model and CIO‑platform integration.

Its mandate is to deliver speed without fragmentation, reuse without bureaucracy, and innovation with evidence, reliability, compliance and cost discipline.

This is a Vice President‑level enterprise build role spanning the full path from data foundation to production AI. The role operates with senior stakeholders across International Commercial, CIO, CMO, Legal/Compliance, Finance, markets, strategic vendors and SI partners, with accountability for technical strategy, delivery capacity, production quality, run economics and integration with Pfizer’s enterprise platform standards.

Data Architect operates horizontally across the four Build sub‑pillars to protect semantic standards, AI‑ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. AI Evaluation & Assurance remains independent of builders and owns the evidence pack for ship/no‑ship decisions. Product & Delivery leadership manages roadmap translation, scrum/programme delivery and capacity transparency across pods.

• Build the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready‑to‑use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI‑ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council.
• Own data quality and observability: shift‑left checks, lineage and monitoring built in, not bolted on. Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken. Own data products and their owners (global and above‑market, including the Customer / CRM and CFC reporting products), with business data stewards dotted in from markets and functions. Manage the data‑supply vendor relationships (IQVIA, Komodo, Optum, Veeva, etc.):
  
  data and delivery contracts, one door to Procurement.
• Engineering & AI – Own solution architecture: how solutions compose the data, the AICL and the platform, including model‑tier selection – mirroring the Data Architect on the data side. Run one shared, deployable engineering pool crewed into pods;
  Systems Integration partners and contractors crew in – never as standing outside teams. Engineering talent is never fragmented, and capacity decisions are transparent against the agreed portfolio priority queue. Own product and delivery management: roadmap and translation on the way in; scrum and programme delivery on the way through. Build the agent library and standards; deliver the reusable data agents of the AICL and their agent‑facing data contracts.
  
  Run AI evaluation and assurance independently of the builders: evals, red‑team, model‑tier proof and the clearance evidence pack. Own Agent Ops and technical run: agents and classic ML in production, AI cost operations, and solution run & support.
• The CIO seam – Own platform integration and the model gateway: routing each task to the right model, including small language models (SLMs) where quality holds. Be the one voice to the CIO on the platform spine; land the commercial data foundation as a certified source on Loom, including the Collibra‑to‑Loom reconciliation. Run & BAU – keep what is live running well: program support, maintenance, upgrades and data quality across the estate.
  
  Keep AI running costs visible and managed, feeding the cost signal back to Strategy, Value & Innovation.