S2P Data Mastery & Analytics Leader

Vertex Inc.; Boston (MA); Híbrido; USD 135.000 - 203.000; Jornada completa

Descripción de la vacante

Vertex Inc. is seeking a Senior Manager, S2P Analytics & Master Data to own the data governance, master data lifecycle, and analytics product portfolio across Source-to-Pay.

You will drive data quality, platform enablement, and decision-support insights for executive leadership. You will partner with IT, Finance, Legal, Risk, and enterprise data teams to standardize data definitions, enable AI-ready data foundations, and deliver trusted analytics across spend, sourcing, and supplier performance.

Formación

• 8+ years of experience in master data management, data governance, procurement analytics, spend analytics, or S2P environments.
• Experience building executive dashboards, KPI frameworks, and analytics roadmaps.
• Ability to translate business needs into data/analytics requirements in partnership with IT/digital and data teams.

Responsabilidades

• Own S2P master data, taxonomy, reference data and governance across procurement, finance, and risk.
• Lead data-management lifecycle, validation, enrichment, and change control processes.
• Own analytics product portfolio, dashboards, and self-service analytics with defined audiences and KPI sets.
• Define data-quality rules, validation logic, and monitoring for data governance and risk
• Lead roadmap for data/analytics automation and AI-enabled capabilities.

Conocimientos

Master data management

Data governance

Procurement analytics

Executive dashboards

Self-service analytics

AI readiness

Cross-functional collaboration

Herramientas

Coupa

Icertis

ProcessUnity

Zip

Power BI

Snowflake

Descripción del empleo

Vertex Inc. is seeking a Senior Manager, S2P Analytics & Master Data to own the data governance, master data lifecycle, and analytics product portfolio across Source-to-Pay.

You will drive data quality, platform enablement, and decision-support insights for executive leadership. You will partner with IT, Finance, Legal, Risk, and enterprise data teams to standardize data definitions, enable AI-ready data foundations, and deliver trusted analytics across spend, sourcing, and supplier performance.