Data Governance Program Design.
Build a data governance program your organization will actually use — one that connects data accountability to business performance, not just compliance documentation.
Data Management Services
The Situation — When Clients Come to Us
Organizations come to us for data governance when:
- Data governance exists on paper — policies documented, a council formed, tooling purchased — but adoption is low, ownership is unclear, and the data quality problems the program was meant to solve persist
- Regulatory pressure (GDPR, HIPAA, CCPA, SOX, BCBS 239, sector-specific requirements) is forcing the organization to establish formal data accountability structures before the next audit cycle
- Analytics, AI, or reporting programs are producing conflicting outputs because no single governance model defines which data is authoritative, who owns it, and what ‘good’ looks like
- Government agencies, NGOs, and nonprofits that manage sensitive beneficiary, program, or operational data and need governance frameworks calibrated to their mission context and resource constraints — not enterprise commercial frameworks
What We Do — Our Approach
// Phase 1
Governance Maturity Assessment
We benchmark the organization's current data governance program against industry frameworks (DAMA-DMBOK, DCAM) and peer organizations across five dimensions: accountability structures, data policies, stewardship processes, data quality practices, and governance technology. We identify the root causes behind governance failures — not just the symptoms.
// Phase 2
Governance Operating Model Design
We design the governance operating model: data governance council charter, data ownership and stewardship role definitions, RACI matrices, escalation processes, and the decision rights framework that makes data accountability operational. We calibrate the model to the organization's culture, structure, and capacity — not an idealized enterprise template.
// Phase 3
Policy & Standards Development
We develop the data policy library and domain-level data standards covering the organization's priority data domains — defining critical data elements (CDEs), acceptable quality thresholds, usage rules, retention requirements, and compliance controls.
// Phase 4
Stewardship Process Design
We design the day-to-day stewardship processes — data issue identification, escalation, remediation, change management, and continuous improvement — that transform governance from a program into a practice. We ensure these processes fit within existing workflows rather than adding parallel overhead.
// Phase 5
Technology Advisory & Implementation Guidance
We provide vendor-neutral advisory on governance technology platforms (Collibra, Informatica, Alation, Microsoft Purview, and others) — evaluating fit against the governance operating model and organizational requirements. We guide implementation and configuration, which is performed by the client or a technology partner.
What You Get — Deliverables
- Data governance maturity assessment report with gap analysis and peer benchmark
- Data governance operating model documentation
- Data governance council charter and terms of reference
- Data ownership and stewardship role definitions and RACI matrices
- Data policy library with domain-level standards and CDE definitions
- Compliance framework documentation (GDPR, HIPAA, CCPA, SOX, and sector-specific requirements as applicable)
- Stewardship process designs and workflow documentation
- Governance technology platform selection recommendation with vendor comparison matrix
- Implementation guidance for the client or technology partner
- Governance health KPI framework and monitoring dashboard specification
Build data governance that your organization will actually use — not just document.
Every engagement is designed around your organization's specific culture, capacity, and compliance requirements.