Senior Manager, S2P Analytics & Master Data

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, ProcessUnity, 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 supplier utilization, supplier risk, and SBE visibility. 4. Data Quality, Controls, Compliance & Risk Enablement Define data-quality rules, validation logic, exception thresholds, monitoring routines, and remediation playbooks across S2P master-data and analytics domains. Partner with Compliance, Risk, Finance, Internal Audit, TPRM, Sourcing, and Procurement Operations to ensure data supports regulatory expectations, audit readiness, financial controls, segregation of duties, risk visibility, and policy adherence. Reduce operational, compliance, and reporting risk resulting from incomplete, inconsistent, duplicative, or poorly governed data. 5. Analytics Automation & AI Enablement Lead the business roadmap for data and analytics automation, including data validation, enrichment, deduplication, exception detection, stewardship workflows, automated insights, conversational analytics, and agent-enabled reporting. Partner with IT/Digital, enterprise Data Governance, and data-platform teams to establish AI-ready data foundations, including governed definitions, semantic consistency, lineage, quality controls, access standards, and Snowflake/VDP readiness. Evaluate and enable capabilities such as AI agents, natural-language analytics, automated insight generation, exception-based reporting, and self-service decision support. Identify opportunities to reduce manual reporting and data-cleanup effort, shifting capacity toward performance dialogue, insight generation, governance, and scalable capability building. 6. Intake, Operating Model & Adoption Design and lead a sustainable operating model for S2P data stewardship, analytics intake, prioritization, backlog management, issue resolution, and delivery governance. Establish predictable routines for data-quality monitoring, taxonomy changes, dashboard refreshes, performance reviews, stakeholder feedback, and roadmap decisions. Define clear accountability across Procurement Operations, Sourcing, Finance, Legal, Risk, IT/Digital, enterprise Data Governance, and offshore or managed-service support teams. Drive adoption through standards, documentation, playbooks, training, office hours, stakeholder engagement, and clear role definitions. Differentiate and spearhead the strategic ownership of data governance, analytics products, insight delivery, and enablement from the day-to-day report production, dashboard maintenance, transactional execution, and operational data cleanup in parallel. 7. Cross-COE & Cross-Platform Collaboration Partner with P2P Process & Platform Enablement to ensure supplier, item/service, and reference data support clean transaction execution, control integrity, and operational performance visibility. Partner with S2C Process & Platform Enablement to ensure sourcing and contracting activities create high-quality downstream data and enable sourcing-performance analytics. Partner with Strategy, Governance & Excellence, SBE, TPRM, and Supplier Performance leaders to support trusted metrics and visibility into savings, value delivery, SBE performance, risk, supplier segmentation, and program outcomes. Coordinate with IT/Digital, enterprise Data Governance, MDM, VDP/Snowflake, and platform teams on architecture, integrations, access, data flows, tooling alignment, and long-term scalability. Ownership Boundaries This role owns: Business governance, standards, roadmap, requirements, and operating model for S2P master data, taxonomy, reference data, analytics products, insight delivery, and AI-enabled analytics. Data-quality frameworks, stewardship routines, analytics intake, analytics-product adoption, and business requirements for data and analytics platforms. Strategic level oversight of Da