Senior Data Governance Manager, Operations NA

vantagedc; Denver (CO); On-site; USD 120,000 - 170,000; Full time

Job summary

Vantage is seeking a Senior Data Governance Manager for North America Operations, based in Denver, CO, with a flexible work policy (3 days in-office, 2 days flexible). The role focuses on governance, data quality, owner stewardship, and cross-functional accountability to drive reliable performance.

You will partner with operations leaders, data owners, and steward teams to standardize metrics, resolve data issues, and embed governance into daily processes.

Qualifications

• Experience implementing data governance across large operations.
• Ability to translate enterprise standards into practical governance practices.
• Strong collaboration with data owners and stewards to ensure data accountability.

Responsibilities

• Develop and maintain the Operations data-governance framework, roadmap, decision rights, and operating practices in alignment with enterprise standards.
• Operationalize data-owner and data-steward responsibilities across Operations functions with clear expectations and accountability.
• Facilitate governance decisions and resolve cross-functional data ownership, definition, quality, access, and usage issues.
• Identify critical data elements with business and data teams, establish quality rules and controls.
• Monitor data-quality and trust indicators; coordinate remediation with owners and data teams.
• Establish and maintain Operations definitions, ownership records, sources, and metadata.
• Coordinate documentation of data lineage and align with enterprise catalogs and data standards.

Skills

Data governance

Data quality

Stakeholder management

Cross-functional collaboration

Data lineage

Job description

About Vantage

Vantage powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.

Operations Department

The Operational Excellence team establishes the systems, governance, and capabilities that enable Vantage to operate at scale across North America with reliability, consistency, and speed. We strengthen the scalability and performance of NA Operations: Solutions Engineering, Design Integration, Mission Critical Operations, and Customer Experience- by partnering with leaders and global functions to execute the Operations Plan of Record, standardize operating models, drive process excellence, enable data-informed decisions, and embed disciplined transformation and continuous improvement.

Operational Excellence at Vantage is hands-on and outcome-driven . We combine portfolio governance, systems thinking, operational rigor, and human-centered enablement to reduce friction, increase predictability, and accelerate performance. Our team members lead high-impact initiatives, shape cross-functional execution, and directly influence how Vantage delivers on its growth, operational reliability, and customer commitments.

Position Overview

This role will be based in Denver, CO. Following our flexible work policy (3 days in-office, 2 days flexible).

The Senior Data Governance Manager, Operations NA enables North America Operations to use data confidently and consistently to manage performance, identify risk, prioritize action, and improve operational outcomes. This individual contributor establishes and operationalizes the governance practices needed to ensure structured and unstructured Operations data is clearly defined, appropriately owned, reliable, traceable, and fit for purpose.

The role works directly with Operations leaders, functions, data owners, and stewards to clarify accountability, standardize critical data and metric definitions, resolve quality issues, and embed governance into everyday business processes. It translates enterprise data standards into practical approaches that improve data trust and usability without creating unnecessary complexity for Operations.

The role serves as a connective point across Operations, Operations Data & Intelligence, Global Data & AI, and technology teams, establishing feedback loops that translate operational needs, data issues, and user feedback into improvements to data definitions, controls, products, and source systems. The ideal candidate combines strong data-governance expertise with hands-on execution, business partnership, and the ability to drive cross-functional accountability and continuous improvement.

Essential Job Functions

Operations Data Governance

• Develop and maintain the Operations data-governance framework, roadmap, decision rights, and operating practices in alignment with enterprise standards.
• Operationalize data-owner and data-steward responsibilities across Operations functions, including clear expectations, governance forums, escalation paths, and accountability.
• Facilitate governance decisions and drive resolution of cross-functional data ownership, definition, quality, access, and usage issues.

Data Quality, Observability, and Trust

• Partner with business and data teams to identify critical data elements and establish quality rules, validation criteria, thresholds, and controls.
• Monitor data-quality and trust indicators, identify root causes, and coordinate remediation with business owners, source-system owners, and data teams.
• Maintain visibility into governance risks, ownership gaps, unresolved data issues, and remediation progress.

Definitions, Metadata, and Lineage

• Establish and maintain Operations business definitions, metric definitions, ownership records, approved sources, and domain metadata.
• Promote consistent use of governed definitions across data products, semantic models, dashboards, analytics, operational reporting, and AI-enabled solutions.
• Coordinate documentation of data lineage and partner with Global Data & AI to align Operations practices with enterprise catalog, metadata, master-data, and reference-data standards.

Governance Technology and Automation

• Leverage approved AI-enabled, automation, and workflow tools to accelerate data discovery, metadata enrichment, definition development, issue triage, impact analysis, and steward support.
• Partner with data engineering and platform teams to translate governance requirements into automated quality tests, controls, alerts, workflow triggers, and deployment checkpoints.
• Evaluate emerging data- and AI-governance capabilities and recommend practical applications that improve governance effectiveness, adoption, and scalab