Lead Data Governance Architect

About the role

Governance framework and stewardship

• Architect and operationalize an evidence-based, defensible, and audit-ready Enterprise Data Governance framework.
• Develop standards, procedures, decision rights, intake processes, escalation paths, reporting, issue tracking, and evidence practices.
• Design the enterprise stewardship model for Business Data Owners, Business Data Stewards, and Technical Data Custodians.
• Develop stewardship playbooks, training, working sessions, and domain governance forums.
• Support the VP of Data Governance and BI with Enterprise Data Governance Council materials and outcome tracking.

Metadata and data quality

• Lead design and ongoing curation of the Enterprise Business Glossary in Atlan.
• Define processes for business-term definition, review, approval, publication, and maintenance.
• Establish standards for critical data elements, metadata, documentation, lineage, semantic models, KPIs, reports, and regulatory metrics.
• Define the Data Quality framework, including dimensions, rules, thresholds, profiling, monitoring, issue management, and remediation.
• Maintain a Data Quality risk register with findings, impacts, owners, remediation actions, and status.

Lifecycle and analytical asset governance

• Establish standards for data classification, sensitivity, criticality, retention, archiving, disposal, and lifecycle evidence.
• Lead development of the Enterprise Data Retention Standard with Legal, Compliance, Security, Risk, and business stakeholders.
• Define governance expectations and certification criteria for datasets, data products, dashboards, reports, semantic models, and analytical assets.
• Help embed governance requirements into Snowflake, dbt, BI, analytics, data modeling, and data-delivery processes.

Technology and AI governance

• Serve as functional owner for Atlan and define requirements for governance workflows, metadata standards, stewardship processes, and automation.
• Partner with the Lead Data Governance Platform Engineer on configuration, integrations, automation, enhancements, and adoption.
• Support risk-based governance requirements for analytical models, machine learning, generative AI, and AI-enabled workflows.
• Partner with control and technical teams on model and AI inventories, ownership, documentation, data-use review, lineage, monitoring, and lifecycle controls.

What we are looking for

• At least 10 years of experience in Data Governance, Data Management, Data Quality, or related data disciplines.
• Success building, implementing, or significantly maturing enterprise Data Governance capabilities in a modern data environment.
• Experience developing stewardship programs, governance operating models, policies, standards, workflows, and forums.
• Expertise in business glossaries, metadata management, data cataloging, data lineage, and governance operating processes.
• Experience designing federated stewardship models involving business owners, stewards, and technical custodians.
• Strong knowledge of Data Quality frameworks, profiling, monitoring, issue management, root cause analysis, and remediation.
• Experience with classification, retention, archival, disposal, lifecycle management, and certification practices.
• Modern data and analytics experience including Snowflake, dbt, Tableau, Power BI, and Sigma.
• Atlan experience, DAMA DMBOK2 familiarity, CDMP certification, regulated-environment experience, and financial-industry experience are preferred.

Compensation

• The competitive base salary range is $117,800 to $189,000.
• Annual incentive compensation eligibility is up to 10%.

Benefits

• Benefits include medical, dental, vision, disability, life, voluntary insurance, paid parental leave, commuter benefits, paid time off, and a 401(k) match.
• Kapitus offers tuition reimbursement of up to $5,000 annually, travel reimbursement, learning opportunities, and employee discount programs.

About Kapitus

Workplace

• Qualified remote candidates may be considered when residing in a state where Kapitus or a subsidiary has an established physical presence.