Data Governance Lead - Senior Manager

About this role

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 ever y where 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:

• Data Governance Consulting & Delivery – Lead client governance programs, workshops, workstreams, and deliverables.

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

• 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.

• Develop Data Quality scorecards and dashboards.

• Establish processes for identifying, prioritizing, remediating, and monitoring data quality issues.

• Partner with business and technical teams to implement preventative and detective data quality controls.

• Help organizations transition from reactive data cleansing to sustainable Data Quality Management.

Governance Councils & Executive Facilitation

• Establish and facilitate Data Governance Councils, working groups, and steering committees.

• Prepare governance agendas, executive pre-reads, scorecards, and decision materials.

• Track council decisions, actions, issues, and escalations.

• Facilitate difficult cross-functional discussions involving data ownership, definitions, priorities, and accountability.

• Translate technical data issues into clear business risks, decisions, and recommendations for executive leadership.

Cross-Functional Leadership

• Act as a bridge between executive leadership, business units, data teams, analytics teams, security, legal, compliance, architecture, and engineering organizations .

• Translate business objectives into practical governance requirements and operating models.

• Partner with Information Security and Privacy teams to align governance processes with regulatory and security requirements.

• Support governance and compliance requirements associated with regulations such as:

• GDPR

• CCPA

• HIPAA

• FERPA

• Other applicable industry or institutional requirements

• Drive organizational change and adoption of new governance processes.

• Develop training, communications, and stakeholder engagement strategies that make governance operational rather than theoretical.

Data Governance Consulting & Client Delivery

The Senior Manager must remain client-facing and billable and be capable of directly leading Data Governance engagements.

Engagement Delivery

• Serve as the Data Governance Lead on client engagements.

• Lead governance workstreams from discovery through implementation.

• Plan and facilitate c

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