Senior Manager, Procurement Master Data & Analytics

** Job Description
**** Role Summary
** The Senior Manager, S2P Analytics & Master Data serves as the business owner for the Source-to-Pay (S2P) data and analytics foundation. This role ensures that supplier, taxonomy/category, preferred supplier, item/service, contract, risk, and related reference data are accurate, governed, scalable, and fit for purpose—while translating that data into trusted insights, executive narratives, self-service analytics, automation, and AI-enabled decision support.

The role leads the business-side governance model, master-data lifecycle, data quality standards, analytics product portfolio, insight-generation capability, and enabling platform requirements across the S2P lifecycle. It partners closely with S2C and P2P Process & Platform Enablement, Strategy/Governance/Excellence, SBE, Finance, Legal, Risk, IT/Digital, enterprise Data Governance, and S2P Transformation teams.

This leader makes data a trusted business asset that powers reliable operations, decision-grade reporting, controls, intelligent routing, automation, performance management, and future-state AI capabilities.
** Key Responsibilities
**** 1. S2P Master Data, Taxonomy & Governance Ownership
*** Serve as the senior business lead for S2P data domains, including supplier master, third-party entity types, taxonomy/category structures, preferred supplier designation, item/service data, contract/reference data, risk attributes, and related reference data.
* Own business-led governance standards for data ownership, stewardship, approval workflows, change control, escalation paths, and decision rights across Procurement, Finance, Legal, Risk, IT/Digital, and enterprise data teams.
* Establish data definitions, semantic standards, lineage expectations, quality requirements, and governance routines that enable consistent reporting, automation, analytics, and AI use cases.
* Ensure taxonomy and master-data standards support buying-channel guidance, preferred supplier utilization, supplier segmentation, risk screening, compliance monitoring, routing, value tracking, and performance analysis.
** 2. Master Data Lifecycle, Process & Platform Enablement
*** Lead business requirements and lifecycle processes for data creation, validation, enrichment, maintenance, synchronization, change control, retirement, exception management, and remediation.
* Embed data management requirements into S2C, P2P, TPRM, CLM, intake/orchestration, and buying-channel workflows rather than treating data management as a separate manual activity.
* Partner with IT/Digital and platform owners to define requirements for MDM, Coupa, Icertis, Process Unity, Zip, VDP/Snowflake, Power BI, and related integrations.
* Drive standardization, integration, and automation to reduce rework, duplicate maintenance, manual spreadsheets, data defects, and point-to-point workarounds.
** 3. Analytics Product Ownership & Decision Support
*** Own the S2P analytics product portfolio, including executive dashboards, KPI views, category and program dashboards, standard performance scorecards, self-service analytics, and automated insight products.
* Define and maintain an integrated data and analytics roadmap based on business priorities, stakeholder needs, technology maturity, data risk, automation dependency, and transformation value.
* Ensure each analytics product has a defined audience, business purpose, trusted KPI set, data source, adoption plan, and operating cadence.
* Translate data into clear executive narratives that explain what changed, why it matters, and what decisions or actions are required.
* Generate decision-ready insights across spend, sourcing, suppliers, P2P performance, value delivery, savings visibility, compliance, cycle times, preferred…