Data Governance Lead - Senior Manager

Attain Partners is an innovative consulting firm dedicated to disrupting the status quo to change the world and improve the lives of those we touch. From strategy to technology and everywhere in between, our experts use their unique skills to advance the important missions of education, nonprofit, healthcare, and state and local government clients.

People are at the center of all we do, and that’s why we empower career growth, provide industry-leading benefits packages, encourage a flexible work environment, and foster a culture of inclusion to support the needs of our team. We share a collective passion for our mission and our people. Guided by our seven core values, The Attain Way, our vision is the foundation of our culture—to be and attain the best.

Data Governance Lead – Senior Manager
Role Overview

The Data Governance Lead – Senior Manager is responsible for building, leading, and growing the firm’s Data Governance capabilities while serving as a hands-on delivery leader on client engagements.

This role combines three primary responsibilities:
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Data Governance Consulting & Delivery – Lead client governance programs, workshops, workstreams, and deliverables.

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Data Governance Practice Development – Develop repeatable offerings, methodologies, accelerators, and solutions that can be taken to market.

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Databricks Practice & Alliance Leadership – Help establish and grow Databricks capabilities, solutions, partnership relationships, and associated revenue opportunities.

The ideal candidate combines strong consulting and client leadership skills with deep knowledge of enterprise data governance, modern cloud data platforms, Databricks, metadata management, data quality, and organizational change.
Data Governance Program Leadership
Program Management
- Own and manage enterprise Data Governance program roadmaps.

- Establish program priorities, milestones, deliverables, dependencies, and success metrics.

- Manage day-to-day workflows for the Data Governance Office (DGO).

- Maintain project plans, Jira boards, issue logs, decision logs, risks, and action items.

- Provide clear program status and executive-level reporting.

- Coordinate governance activities across multiple business and technology workstreams.

Governance Framework, Policy & Standards
- Design, implement, and operationalize enterprise Data Governance frameworks.

- Develop and maintain:

- Data governance policies

- Data management standards

- Data classification standards

- Governance procedures

- Data ownership models

- Data quality standards

- Data lifecycle standards

- Align governance frameworks with organizational strategy, regulatory requirements, and enterprise architecture.

- Apply governance frameworks and industry practices such as DAMA-DMBOK and DCAM .

Data Ownership & Stewardship
- Design and implement enterprise Data Owner and Data Steward operating models.

- Define clear accountability for critical data domains and assets.

- Establish roles and responsibilities across business owners, technical owners, data stewards, and custodians.

- Develop stewardship processes, governance workflows, escalation paths, and decision-making models.

- Coach and support Data Owners and Stewards as governance programs mature.

Metadata, Catalog & Lineage
- Lead enterprise metadata management and data catalog initiatives.

- Establish and maintain:

- Business glossaries

- Data dictionaries

- Metadata standards

- Data lineage

- Critical data elements

- Data domains

- Data classifications

- Advise clients on governance technologies such as Collibra, Informatica, Alation, Microsoft Purview, and Databricks Unity Catalog .

- Connect business metadata with technical metadata to improve data discovery, trust, lineage, and accountability.

Data Quality
- Establish enterprise Data Quality frameworks and standards.

- Define measurable data quality dimensions, rules, thresholds, and KPIs.

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