Sr Director, Data, Analytics & AI - Procurement Excellence & Performance

Date:
Feb 17, 2026

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List.

Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

Lead Teva’s data, analytics and AI agenda for Global Procurement – defining strategy, governing the data foundation, and scaling AI‑enabled digital products that improve decision quality across Source‑to‑Pay
. The role aligns procurement analytics and AI with value delivery in savings, supplier performance, risk, ESG, and operational excellence, consistent with best‑practice remit for procurement analytics leaders at global enterprises.

Strategy, Operating Model & Governance

• Set and continuously refine the Global Procurement Data, Analytics & AI strategy and multiyear roadmap aligned to Procurement Excellence & Performance and Teva’s growth priorities
• Establish a product operating model (intake → prioritization → delivery → value tracking), portfolio governance, and OKRs for analytics and AI products that serve Global Procurement
• Define and steward the procurement performance taxonomy (e.g., savings, compliance, risk, ESG), data ownership model, and data‑quality SLAs to ensure one source of truth

Data Foundation & Architecture (Functional Ownership)

• Own the functional data architecture for procurement (spend, supplier master, contracts/CLM, material master, etc.) and ensure harmonized models, lineage, controls and documentation that enable trustworthy insights
• Partner with Digital/IT for platforms, integration, security and master‑data, to consolidate fragmented sources into a governed data layer to power dashboards, self‑service analytics, and AI/optimization engines

Insights, Reporting & Performance Management

• Deliver executive scorecards and self‑service analytics for savings pipeline/realization, sourcing effectiveness, supplier performance, compliance, working capital, and S2P cycle‑time
• Target advanced analytics for category strategies (e.g. price/volume/mix, should‑costs, benchmark panels),
  contract insights, supplier‑risk analytics (KRIs, heatmaps, alerting) and SRM (segmentation, Q  packs)

AI, Optimization & Digital Products

• Incubate, productize, and scale AI/ML and GenAI use cases (e.g., savings prediction, demand forecasting, supplier risk early‑warning, contract deviation analysis, guided sourcing/buying assistants, allocation/award optimizers) with transparent value tracking and Responsible‑AI guardrails

Stakeholder Management, Adoption & Change

• Drive adoption of analytics and AI through playbooks, enablement, and business‑rhythm integration so insights are embedded in daily category, sourcing, SRM and P2P decisions
• Align closely with Finance, Risk/Compliance, Legal, Digital/IT and GBS to validate value, standardize KPIs, and ensure sustained performance

Required

• 10+ years in data/analytics/AI with proven business impact in large, complex organizations; strong track record aligning analytics/AI to procurement value delivery
• Demonstrated experience in procurement analytics across spend/category/sourcing, contract/CLM, SRM, risk and ESG; deep familiarity with S2C/P2P processes
• Fluency with modern stacks (
  Power BI or similar, data lake/warehouse) and with ML/GenAI concepts
  ; ability to translate business needs into scalable data products
• Strong communication and storytelling skills; able to influence at VP+ level and drive adoption across global stakeholder groups

Preferred

• Pharma / life‑sciences exposure (GxP awareness, external manufacturing, regulated categories) and experience collaborating with QA/Regulatory/Legal
• Master‑data…