S2P Analytics & Master Data Lead — AI-Ready Insights

Biopharma Careers

Boston (MA)

Hybrid

USD 135,000 - 203,000

Full time

8 days ago

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Benefits offered by this job

Hybrid-Eligible

On-Site Eligible

Total Rewards benefits

Job summary

Vertex is seeking a Senior Manager, S2P Analytics & Master Data to own the data foundations across supplier, taxonomy, item/service, contract, and risk domains, turning data into trusted insights and AI-enabled decision support.

You will lead governance, data lifecycle, analytics product portfolio, data-quality controls, and enabling platform requirements, partnering with S2C, P2P, Finance, Legal, Risk, IT/Digital, and enterprise Data Governance for scalable, compliant data platforms.

Qualifications

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 S2P environments.
Strong understanding of how supplier, taxonomy, contract, risk, preferred supplier, and reference data affect S2P execution, controls, analytics, automation, reporting, and decision-making.
Defined 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.

Responsibilities

S2P Master Data ownership for supplier, taxonomy/category, preferred supplier, item/service, contract, risk and related data.
Own governance standards for data ownership, stewardship, workflows, change control and decision rights across Procurement, Finance, Legal, Risk, IT/Digital, and data teams.
Define data definitions, semantic standards, lineage expectations, quality requirements, and governance routines for consistent reporting and AI use cases.
Lead data-management requirements within S2C, P2P, TPRM, CLM, intake/orchestration, and buying-channel workflows.
Drive standardization, integration, and automation to reduce rework and data defects.
Own analytics product portfolio and roadmap; create trusted KPI sets, dashboards, self-service analytics, and AI-enabled insights.
Design operating model for data stewardship, analytics intake, backlog, and adoption; ensure compliance and risk controls.