Data Governance Director
Data Meaning, Washington, District of Columbia, United States
Location
North America (100% Remote)
Type of contract Full-time
Citizenship requirements Permanent Resident/GC OR US Citizen required
Travel 20% travel required
POSITION SUMMARY 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.
Governance Strategy & Operating Model
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
Solution Sales & Advisory Support
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
Solution Engineering & Architecture Leadership
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
Data Quality, Observability, Lineage & Stewardship
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
Cross-Functional Leadership
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
Technology Coverage Platform / Tool : Azure ADLS Gen2, ADF, Synapse Data Lake, ingestion, transformation, warehouse patterns Primary Governance Relevance : Governance controls, architecture standards, lineage and platform integration Expected Director Oversight : Microsoft Purview Catalog, lineage, classification, policy support, Metadata strategy, stewardship workflows, glossary alignment, scanning design, Power BI Analytics consumption and semantic reporting, Trusted‑data enablement, certified data sets, lineage to executive reporting, Azure Databricks Engineering, transformation, data products, governance at scale, Quality controls, observability standards, medallion governance patterns, Snowflake Cloud data platform, secure sharing, governance controls, Role design, data‑domain alignment, governance operating model enablement, dbt Transformation governance, documentation, testing, Model standards, test coverage expectations, lineage‑aware deployment practices, Alation / Collibra Data catalog, glossary, stewardship, policy management, Business metadata design, stewardship adoption, enterprise governance rollout
Qualifications
Professional Experience: 10+ years of progressive experience in data governance, data management, data architecture, analytics, or consulting, including leadership responsibility for enterprise‑scale initiatives
Consulting & Commercial Acumen: Demonstrated success supporting pre‑sales, solution positioning, proposal development, and executive stakeholder engagement in a consulting or professional services environment
Technical & Platform Expertise: Strong working knowledge of Azure data services, Databricks, Snowflake, dbt, and enterprise catalog/governance platforms such as Purview, Alation, and Collibra
Governance Domain Expertise: Deep knowledge of governance frameworks (DMBOK, DCAM, NIST, etc), stewardship, metadata management, lineage, observability, data quality, controls, and policy operationalization
Leadership & Communication: Exceptional ability to influence executives, lead cross‑functional teams, simplify complex concepts, and build trusted relationships with client and internal stakeholders
Education: Bachelor’s degree in Information Systems, Computer Science, Data Management, Business, or a related field required; advanced degree preferred
Measures of Success
Growth of governance‑related consulting revenue and strategic account expansion
Successful delivery of governance roadmaps, platform designs, and operating models adopted by clients
Improved client outcomes in quality, lineage, stewardship adoption, and trusted analytics
Reusable solution assets, playbooks, and architecture patterns that scale across engagements
#J-18808-Ljbffr
Type of contract Full-time
Citizenship requirements Permanent Resident/GC OR US Citizen required
Travel 20% travel required
POSITION SUMMARY 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.
Governance Strategy & Operating Model
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
Solution Sales & Advisory Support
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
Solution Engineering & Architecture Leadership
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
Data Quality, Observability, Lineage & Stewardship
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
Cross-Functional Leadership
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
Technology Coverage Platform / Tool : Azure ADLS Gen2, ADF, Synapse Data Lake, ingestion, transformation, warehouse patterns Primary Governance Relevance : Governance controls, architecture standards, lineage and platform integration Expected Director Oversight : Microsoft Purview Catalog, lineage, classification, policy support, Metadata strategy, stewardship workflows, glossary alignment, scanning design, Power BI Analytics consumption and semantic reporting, Trusted‑data enablement, certified data sets, lineage to executive reporting, Azure Databricks Engineering, transformation, data products, governance at scale, Quality controls, observability standards, medallion governance patterns, Snowflake Cloud data platform, secure sharing, governance controls, Role design, data‑domain alignment, governance operating model enablement, dbt Transformation governance, documentation, testing, Model standards, test coverage expectations, lineage‑aware deployment practices, Alation / Collibra Data catalog, glossary, stewardship, policy management, Business metadata design, stewardship adoption, enterprise governance rollout
Qualifications
Professional Experience: 10+ years of progressive experience in data governance, data management, data architecture, analytics, or consulting, including leadership responsibility for enterprise‑scale initiatives
Consulting & Commercial Acumen: Demonstrated success supporting pre‑sales, solution positioning, proposal development, and executive stakeholder engagement in a consulting or professional services environment
Technical & Platform Expertise: Strong working knowledge of Azure data services, Databricks, Snowflake, dbt, and enterprise catalog/governance platforms such as Purview, Alation, and Collibra
Governance Domain Expertise: Deep knowledge of governance frameworks (DMBOK, DCAM, NIST, etc), stewardship, metadata management, lineage, observability, data quality, controls, and policy operationalization
Leadership & Communication: Exceptional ability to influence executives, lead cross‑functional teams, simplify complex concepts, and build trusted relationships with client and internal stakeholders
Education: Bachelor’s degree in Information Systems, Computer Science, Data Management, Business, or a related field required; advanced degree preferred
Measures of Success
Growth of governance‑related consulting revenue and strategic account expansion
Successful delivery of governance roadmaps, platform designs, and operating models adopted by clients
Improved client outcomes in quality, lineage, stewardship adoption, and trusted analytics
Reusable solution assets, playbooks, and architecture patterns that scale across engagements
#J-18808-Ljbffr