Senior Manager, S2P Analytics & Master Data

Vertex Pharmaceuticals • Boston, MA

1d • Hybrid

About The Position

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.

Requirements

• 8+ years of experience in master data management, data governance, procurement analytics, spend analytics, sourcing/procurement insights, business intelligence, procurement operations, finance, supply chain, or Source-to-Pay environments.
• Strong understanding of how supplier, taxonomy, contract, risk, preferred supplier, and reference data affect S2P execution, controls, analytics, automation, reporting, and decision-making.
• Demonstrated experience defining business-side data-governance models, including ownership, stewardship, quality standards, approval workflows, change control, and escalation routines.
• Experience building executive dashboards, KPI frameworks, operational scorecards, analytics roadmaps, and decision-support narratives.
• Ability to translate business needs into practical data, process, platform, integration, reporting, automation, and AI-readiness requirements in partnership with IT/Digital and enterprise data teams.

Nice To Haves

• Experience enabling supplier MDM, taxonomy/category structures, preferred supplier data, supplier segmentation, third-party entity types, CLM, TPRM, or related data dependencies at scale.
• Experience improving data quality through process redesign, platform enablement, integration, automation, and operating-model change.
• Experience enabling self-service analytics, automated insights, AI-assisted reporting, conversational analytics, or agent-enabled capabilities.
• Familiarity with Coupa, Icertis, ProcessUnity, Zip, MDM or MDG platforms, Data Lakes (Snowflake), Power BI, or comparable procurement and data ecosystems.
• Experience in a global COE, shared-service, transformation, enterprise-governance, or digitally enabled procurement environment.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• Medical, dental and vision benefits
• Generous paid time off (including a week-long company shutdown in the Summer and the Winter)
• Educational assistance programs including student loan repayment
• Generous commuting subsidy
• Matching charitable donations
• 401(k)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed