Sr Director, Data, Analytics & AI - Procurement Excellence & Performance
Role details
Job location
Tech stack
Job description
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. How you'll spend your day 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, QBR 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.
Requirements
Do you have experience in Quality assurance?, Do you have a Master's degree?, * 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 governance (supplier/material), taxonomy design, CLM analytics familiarity, and P2P performance analytics and controls.
- Experience operationalizing ESG analytics (Scope-3) and integrating results into procurement performance management.