Senior Manager, S2P Analytics & Master Data

Location: Boston, MA, United States. Hybrid-eligible with remote work up to two days per week, or on-site five days per week with ad hoc flexibility.

Salary: $135,400–$203,100 annually, plus eligibility for annual bonus and equity awards.

Company

Vertex is a global biotechnology company focused on scientific innovation and improved outcomes for patients.

What you will do

• Own business governance, standards, lifecycle processes, and operating models for Source-to-Pay master data, taxonomy, reference data, and supplier information.
• Lead the S2P analytics product portfolio, including executive dashboards, KPI frameworks, scorecards, self-service analytics, and automated insight products.
• Define data-quality rules, validation logic, monitoring routines, remediation playbooks, and controls supporting compliance, risk management, audit readiness, and reporting.
• Translate business needs into requirements for MDM, Coupa, Icertis, ProcessUnity, Zip, VDP/Snowflake, Power BI, integrations, and related platforms.
• Develop automation and AI-enablement capabilities such as data validation, deduplication, exception detection, conversational analytics, and agent-enabled reporting.
• Partner with Procurement, Finance, Legal, Risk, IT/Digital, enterprise data teams, and S2P transformation groups to drive adoption and scalable decision support.

Requirements

• 8+ years of experience in master data management, data governance, procurement analytics, spend analytics, business intelligence, finance, supply chain, or Source-to-Pay environments.
• Strong understanding of supplier, taxonomy, contract, risk, preferred supplier, and reference data within S2P processes and controls.
• 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 data, process, platform, integration, reporting, automation, and AI-readiness requirements.
• Ability to work in the Boston, MA hybrid or on-site arrangement.

Nice to have

• Experience with supplier MDM, taxonomy and category structures, preferred supplier data, supplier segmentation, CLM, TPRM, or related data dependencies.
• Experience with self-service analytics, automated insights, AI-assisted reporting, conversational analytics, or agent-enabled capabilities.
• Familiarity with Coupa, Icertis, ProcessUnity, Zip, MDM or MDG platforms, Snowflake, Power BI, or comparable procurement and data ecosystems.
• Experience in a global COE, shared-service, transformation, enterprise-governance, or digitally enabled procurement environment.

Culture & Benefits

• Continuous learning and encouragement to follow advances in AI, technology, automation, and industry trends.
• Medical, dental, and vision benefits with resources supporting financial, family, and wellbeing needs.
• Generous paid time off, including summer and winter company shutdowns.
• Educational assistance, student loan repayment, commuting subsidy, matching charitable donations, and 401(k).
• Equal employment opportunity and reasonable workplace accommodations.