Data Governance Director

Data Meaning•Washington, DC

1d•Remote

About The Position

Data Meaning is a Leader in Business Intelligence/Data Analytics consulting. We provide top consulting services to companies throughout the US & LATAM, generating flexible solutions for our clients in the areas of Business Intelligence, Data Warehousing and Project Management. The Data Governance Director is a senior consulting leader responsible for defining and scaling data governance services that help clients improve trust, usability, security, and business value of enterprise data assets. The role blends governance leadership with solution sales, solution engineering, and solution architecture, ensuring that advisory recommendations translate into deployable, measurable outcomes across analytics and data platforms.

Requirements

10+ years of progressive experience in data governance, data management, data architecture, analytics, or consulting, including leadership responsibility for enterprise-scale initiatives.
Demonstrated success supporting pre-sales, solution positioning, proposal development, and executive stakeholder engagement in a consulting or professional services environment.
Strong working knowledge of Azure data services, Databricks, Snowflake, dbt, and enterprise catalog/governance platforms such as Purview, Alation, and Collibra.
Deep knowledge of governance frameworks (DMBOK, DCAM, NIST, etc), stewardship, metadata management, lineage, observability, data quality, controls, and policy operationalization.
Exceptional ability to influence executives, lead cross-functional teams, simplify complex concepts, and build trusted relationships with client and internal stakeholders.
Bachelor’s degree in Information Systems, Computer Science, Data Management, Business, or a related field required; advanced degree preferred.
Permanent Resident/GC OR US Citizen required
20% travel required

Responsibilities

Establish enterprise-grade governance strategies, policy frameworks, decision rights, and implementation roadmaps for client organizations.
Define target-state operating models covering governance councils, stewardship structures, issue management, controls, and adoption metrics.
Align governance priorities with regulatory, risk, analytics, modernization, and business transformation objectives.
Partner with sales and account teams to shape client conversations, qualify opportunities, and translate pain points into governance-led solution narratives.
Support proposals, statements of work, and executive presentations by articulating value, scope, delivery approach, project plans and measurable outcomes.
Act as a trusted subject matter expert during discovery, due diligence, and executive workshops.
Support the design of scalable data governance capabilities embedded into modern cloud data platforms and delivery pipelines.
Ensure architectures (Medallion) support metadata capture, lineage, quality controls, observability, access governance, and consumption for reporting and analytics.
Collaborate with engineering teams to convert strategy into deployable patterns, reference architectures, and implementation standards.
Define frameworks for data quality management, issue remediation, control monitoring, and service-level expectations for critical data products.
Establish lineage and observability requirements to improve transparency from source systems through transformation, storage, and reporting layers.
Enable stewardship models that clarify accountability for business definitions, policies, exceptions, and remediation workflows.
Provide leadership across strategy, governance, engineering, analytics, and delivery teams to ensure integrated client outcomes.
Coach consultants, architects, and analysts on governance best practices, reusable assets, and engagement quality.
Promote collaboration between business stakeholders and technical teams to accelerate adoption and long-term sustainability.