Sr Manager Data Management

We are seeking an experienced and passionate Sr Manager Data Managementto build and own all foundational enterprise data management capabilities spanning Master Data Management (MDM) Data Governance Data Quality Metadata & Cataloging Context Layer engineering and Enterprise Data Architecture. This leader combines strategic oversightwith deep handson expertise ensuring that data across the organization is trusted governed discoverable highquality and ready for analytics AI and operational use.

This role will also own semantic layer product roadmap tooling selection/config model patterns release/change process and adoption.

JOB DUTIES

Enterprise Data Management Leadership

• Own the strategy roadmap and execution of enterprise data management capabilities(MDM governance metadata/catalog data quality semantic/context layer and enterprise data architecture standards).
• Build and run the data management operating model (data owners/stewards decision rights standards) and the governance cadence that drives adoption.
• Establish and operationalize data governance policies standards and stewardship models.
• Partner with business and technology leaders to ensure alignment adoption and measurable value.

Enterprise Master Data Management (MDM)

• Lead design implementation and ongoing operations of enterprise MDM solutions.
• Define and implement data models match/merge rules survivorship logic hierarchies and workflows.
• Ensure highquality authoritative master data for domains such as Customer Product Supplier and Location.
• Deliver at least one priority master data domain to production and scale it with measurable improvements in accuracy completeness and timeliness.

Data Governance & Metadata Management

• Implement governance frameworks using platforms such as Collibra Atlan Informatica Reltio or equivalent.
• Build launch and scale the data catalog and business glossary including ownership certification and adoption across priority teams.
• Translate governance rules into technical controls and automated workflows.

• Partner with Security/Privacy to align data classification access and retention requirements with governance workflows

Data Quality & Scorecards

• Define enterprise data quality rules thresholds and monitoring processes.
• Build automated data quality pipelines and dashboards.
• Publish data quality scorecards and drive remediation with data owners and stewards.
• Establish a repeatable remediation cadence with data owners and stewards to resolve root causes and improve scorecards over time.

Context Layer & Semantic Modeling

• Own and operate the enterprise semantic layer in tooling (roadmap patterns releases certification adoption) and partner with Analytics Engineering on enablement and onboarding
• Govern metric definitions canonical models and shared data entities.

Enterprise Data Architecture

• Define and maintain enterprise data architecture standards patterns and reference models.
• Ensure alignment across data platforms integration patterns and cloud architecture.
• Provide architectural oversight for data ingestion transformation MDM and consumption layers.

HandsOn Technical Execution

• Ensure reliable operations of data management platforms (MDM catalog/governance DQ) including configuration oversight access and release/change management.
• Design and implement critical workflows/integrations (APIs lineage connectors DQ rules) and establish reusable patterns the team can scale.
• Lead/resolve escalations/issues across data pipelines metadata ingestion and governance workflows as needed
• Act as a player/coachpersonally dive in where needed while setting direction coaching others and unblocking delivery.

Team Leadership & CrossFunctional Collaboration

• Lead a team of data stewards data quality analysts and MDM/governance engineers.
• Drive enterprise adoption through training communication and change management.
• Serve as the primary point of accountability for all data management capabilities.

YOU MUST HAVE

• 7 years in enterprise data management (MDM governance metadata/catalog or data quality) including 3 years leading teams and/or enterprise programs.
• Hands-on implementation experience with at least one MDM and/or data governance platform (e.g. Reltio Informatica MDM/P360 Collibra Atlan or equivalent) including configuration workflow design and integration patterns.
• Strong technical foundation in data modeling metadata/lineage concepts data quality engineering and semantic/metrics modeling.
• Experience building or operating an enterprise data catalog and business glossary and partnering with stakeholders to drive adoption.
• Working knowledge of cloud data ecosystems (Azure AWS or GCP) and modern data platform patterns.
• Strong SQL skills and solid data engineering fundamentals (pipelines integrations testing/monitoring).
• Excellent communication stakeholder management and change leadership skills.

WE VALUE

• Experience with enterprise data architecture frameworks (TOGAF DAMADMBOK).
• Background in operationalizing data governance programs at scale.
• Experience with APIbased integrations workflow automation and metadata ingestion.
• Familiarity with analytics engineering tools (dbt semantic layer tools metric stores).

SUCCESS MEASURES

• Adoption: increased usage of certified/governed data assets definitions and metrics across priority teams.
• Quality: fewer recurring data quality incidents and demonstrable improvement in scorecards for critical data elements.
• MDM delivery: successful production implementation and scaling of priority master data domain(s) with clear ownership and remediation workflows.
• Discoverability: catalog/glossary coverage for priority datasets and improved lineage/metadata completeness.
• Operating rhythm: effective cross-functional governance cadence (owners/stewards/engineering/analytics) that resolves issues and drives standards adoption.

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