Data Governance Lead - Senior Manager

Attain Partners

3d • $190,000 - $200,000 • Hybrid

About The Position

Attain Partners is seeking a Data Governance Lead – Senior Manager 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 encompasses three primary responsibilities: Data Governance Consulting & Delivery, Data Governance Practice Development, and Databricks Practice & Alliance Leadership. The ideal candidate will possess strong consulting and client leadership skills, combined with deep expertise in enterprise data governance, modern cloud data platforms, Databricks, metadata management, data quality, and organizational change.

Requirements

• 7+ years of experience in Data Governance, Data Management, Data Quality, Metadata Management, or enterprise data programs.
• Demonstrated experience leading enterprise Data Governance programs.
• Strong understanding of frameworks such as DAMA-DMBOK and DCAM.
• Experience establishing Data Owner and Data Steward operating models.
• Experience developing governance policies, standards, procedures, and controls.
• Experience with metadata, business glossaries, data catalogs, lineage, and data quality.
• Experience with platforms such as Collibra, Informatica, Alation, Microsoft Purview, or similar technologies.
• Strong knowledge of modern cloud data platforms and Lakehouse architectures.
• Experience with or strong knowledge of Databricks, Delta Lake, Unity Catalog, Spark, PySpark, SQL, and modern ETL/ELT architectures.
• Understanding of cloud environments including AWS, Azure, and/or Google Cloud.
• Demonstrated experience leading client-facing consulting engagements.
• Ability to lead executive workshops and facilitate complex stakeholder discussions.
• Experience managing cross-functional consulting and technical teams.
• Strong project and program management capabilities.
• Ability to manage multiple client engagements and internal practice initiatives simultaneously.
• Excellent executive communication, presentation, facilitation, and conflict-resolution skills.
• Strong change management and organizational adoption capabilities.
• Experience developing consulting offerings and bringing new services to market.
• Experience supporting complex proposals, estimates, statements of work, and RFP responses.
• Demonstrated ability to develop client relationships and identify follow-on opportunities.
• Ability to develop and support $2M–$3M+ annually in Databricks and Data Governance-related sales opportunities.
• Bachelor's degree in Information Systems, Computer Science, Data Management, Business, or related discipline.
• Demonstrated ability to build trusted advisor relationships with clients
• Experience supporting sales and business development
• Position requires flexibility to travel periodically based on business and client needs

Nice To Haves

• Previous experience working with the Databricks partner ecosystem strongly preferred.
• Previous experience developing business through technology alliance or partner channels strongly preferred.
• CDMP, DAMA, DCAM, Collibra, Informatica, Databricks, or cloud certifications preferred.

Responsibilities

• 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.
• 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, and 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.
• 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.
• Lead enterprise metadata management and data catalog initiatives.
• Establish and maintain business glossaries, data dictionaries, metadata standards, data lineage, critical data elements, data domains, and 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.
• 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.
• 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.
• 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, and 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.
• Serve as the Data Governance Lead on client engagements.
• Lead governance workstreams from discovery through implementation.
• Plan and facilitate client workshops with executive, functional, and technical stakeholders.
• Lead current-state assessments and governance maturity assessments.
• Develop future-state governance models and implementation roadmaps.
• Own the quality and completion of client deliverables.
• Manage consultants and analysts supporting governance engagements.
• Provide executive-level recommendations and presentations.
• Develop packaged Data Governance consulting offerings that can be consistently sold and delivered.
• Create repeatable methodologies, templates, accelerators, assessments, and delivery frameworks.
• Develop offerings around areas such as Data Governance Strategy & Roadmap, Governance Maturity Assessments, Data Stewardship, Data Quality, Metadata & Data Catalog, Data Lineage, Data Classification, Data Governance Operating Models, AI and Data Governance, Cloud Data Governance, and Databricks Governance / Unity Catalog.
• Create estimates, delivery models, staffing plans, and standard scopes of work.
• Develop reusable intellectual property that improves delivery speed and consistency.
• Support sales opportunities as the Data Governance subject matter expert.
• Lead discovery sessions with prospective clients.
• Identify client challenges and translate them into consulting opportunities.
• Develop solution approaches, estimates, proposals, and statements of work.
• Participate in client presentations, demonstrations, RFP responses, and executive meetings.
• Partner with account executives and consulting leadership to identify expansion opportunities within existing accounts.
• Help define the firm's Databricks go-to-market strategy and service offerings.
• Build a pipeline of Databricks consulting opportunities through direct clients and the Databricks partner ecosystem.
• Develop relationships with Databricks account executives, solution architects, partner teams, and leadership.
• Work with sales leadership to develop and maintain a $2M–$3M+ annual Databricks opportunity pipeline and sales target.
• Identify opportunities where Databricks can support enterprise data platforms, analytics modernization, AI and machine learning, data governance, data quality, data sharing, data engineering, and cloud modernization.
• Support Databricks-focused proposals, scoping, estimates, demonstrations, and executive presentations.
• Provide technical leadership for enterprise Databricks solutions.
• Design and advise on scalable Lakehouse architectures.
• Establish modern Bronze / Silver / Gold medallion architectures.
• Advise on architecture across AWS, Azure, and Google Cloud environments.
• Establish security, governance, data access, and operational standards for Databricks environments.
• Connect enterprise Data Governance strategies with Databricks platform capabilities.
• Advise clients on implementing governance through Unity Catalog.
• Establish approaches for Data ownership, Data classification, Access controls, Metadata, Data lineage, Data discovery, Data quality, Data sharing.
• Position governance as a foundational component of Databricks and enterprise AI/data modernization programs.
• Build reusable Databricks reference architectures, accelerators, frameworks, and delivery methodologies.
• Establish technical standards and delivery best practices.
• Develop reusable deployment and implementation patterns.
• Build packaged Databricks offerings that can be sold through both direct sales and the Databricks partner channel.
• Develop internal training and certification strategies to expand Databricks capabilities across the consulting organization.
• Mentor architects, engineers, consultants, and technical delivery leaders.

Benefits

• Competitive health, dental, and vision coverage, HSA and FSA accounts, life and disability insurance, fertility and family planning benefits, and employee assistance and discount programs
• 11 paid federal holidays and flexible unlimited time off (UTO)
• Generous 401(k) matching with immediate vesting
• Flexible career paths – our career tracks provide advancement, mobility, and flexibility as you continue to grow with us
• A healthy environment where we value unique experiences, and care about everything that makes you, you.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior