Senior Manager of Operations Data Governance

STERIS CORPORATION • Mentor, OH • 1h ago

Position Summary

The Sr. Manager, Operations Data Governance is responsible for establishing and operationalizing an enterprise data governance program focused on the accuracy, trustworthiness, consistency, and usability of Operations and Supply Chain data assets across various global manufacturing sites. This role ensures that operational data spanning all domains of Supply Chain and Operations is standardized, governed, and aligned to global KPI definitions and analytics needs. The role leads the definition of policies, stewardship models, quality standards, and certification processes that ensure all operational reporting, analytics, and performance dashboards rely on trusted, validated, and welldocumented data.

This position plays a supporting role in Master Data Management (MDM) driving governance standards, DQ rules, domain definitions, and stewardship processes. The Sr. Manager partners closely with the MDM team, Data Engineering, Operations Analytics, ERP/MES/SCM system owners, and functional SMEs to harmonize data and elevate operational data quality across the enterprise. A core accountability of this role is the creation and stewardship of an Operations Business Glossary and an Enterprise Data Catalog, ensuring that all KPIs, data elements, definitions, metadata, and certified datasets are documented, discoverable, reusable, and consistently applied across domains, sites, systems, and data assets.

This is a hybrid role with the requirement of working onsite in Mentor, OH 3 days/week. Up to 20% travel. Relocation Assistance to Mentor, OH is provided. This role isnot eligible for Visa Sponsorship of H1B Transfer.

What You'll do as Senior Manager of Operations Data Governance

Governance Leadership & Standards Development (40%)

Develop and execute the Operations & Supply Chain data governance strategy aligned to the 3year modern data platform roadmap.

Create and maintain the Operations Business Glossary, ensuring clear and consistent definitions across all operational domains.

Own the enterprise Data Catalog for Operations, including metadata standards, certification tags, ownership, and discoverability.

Lead the creation and maintenance of a KPI dictionary, including critical Operations metrics that will drive cost reduction, cash flow improvement, and revenue generation.

Define and enforce data governance policies, naming conventions, metadata guidelines, and semantic layer standards.

Establish and run the governance operating model: councils, decision-making structures, cadences, and escalation procedures.

Define and manage dashboard governance standards for Tableau/Power BI, including templates, filters, descriptions, and certification badges.

Data Quality, Certification, and Stewardship Management (30%)

Build and oversee data certification workflows for datasets, semantic layers, and dashboards.

Define and monitor data quality rules and SLAs across all Operations & Supply Chain domains.

Conduct root-cause analysis of data defects and collaborate with upstream process owners to remediate issues at their source.

Support MDM activities, helping define domain standards, governance rules, and DQ expectations.

Partner with Data Engineering to embed DQ checks, lineage capture, and validation logic into Snowflake, Informatica, and Tableau pipelines.

Establish and operationalize a data stewardship model, including steward responsibilities, onboarding, and accountability.

CrossFunctional Alignment, Enablement & Adoption (30%)

Drive cross-functional alignment on KPI definitions, glossary terms, and governance standards across supply chain, manufacturing, procurement, planning, and quality teams.

Partner with site operational leade

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