Senior Data Governance Consultant

We are seeking a highly experienced Senior Data Governance Consultant to lead the strategy, structure, and execution of our enterprise Data Governance program. This role requires a strategic advisor who can partner with business leaders to identify outcomes and problems using modern problem-identification and design-thinking approaches, translate them into data-driven objectives, and convert them into actionable technical initiatives.

The ideal candidate brings strong experience in governance frameworks, business engagement, facilitation expertise, and data management technologies.

1. Data Governance Strategy & Framework Development

• Develop and operationalize the enterprise Data Governance strategy and operating model.
• Define governance roles, stewardship responsibilities, workflows, policies, and standards.
• Evolve policies around data quality, metadata, privacy, access, and lifecycle management.

2. Business Engagement & Outcome Identification

• Work closely with business teams to identify strategic business outcomes, value opportunities, and pain points.
• Use modern problem-identification and analysis methods such as:
• Design Thinking
• Root Cause Analysis (5 Whys, Fishbone)
• Value Stream Mapping
• Hypothesis-Driven Problem Solving
• Facilitate structured workshops to help business teams articulate challenges and convert them into measurable data outcomes.

3. Business Education & Enablement

• Train and coach business stakeholders on modern frameworks and structured ways of defining problems, outcomes, and data needs.
• Develop playbooks, templates, and facilitation methods to improve organizational capability in identifying and articulating data-driven opportunities.
• Build a culture of informed decision-making and outcome-first thinking across business units.

4. Translate Business Needs into Technical Goals

• Convert business outcomes and identified problems into actionable technical governance requirements.
• Define data quality rules, metadata requirements, lineage capture needs, glossary terms, and critical data elements (CDEs).
• Collaborate with Data Engineering, Architecture, and Analytics teams to ensure governance elements are embedded into data ecosystem designs.

5. Data Quality & Stewardship Operationalization

• Oversee stewardship processes including glossary management, catalog curation, CDE definition, and issue-management workflows.
• Ensure data ownership and accountability models are implemented across lines of business.

• 8–12 years of Overall Experience with strong exposure to Data Governance Project/s
• Deep experience facilitating problem-identification workshops and outcome-definition sessions.
• Strong understanding of data management domains (metadata, quality, lineage, privacy, MDM).
• Ability to convert business needs into measurable data and technical requirements.
• Excellent communication and facilitation skills with senior stakeholders.

• Experience applying Design Thinking or structured problem-solving methodologies.
• Consulting background working across multi-business, large-scale environments.
• DAMA CDMP or equivalent certification.
• Databricks or Azure experience

• Business teams actively use modern methods to identify outcomes and problems.
• Strong and sustainable adoption of governance policies.
• Clear linkage between business value and governance initiatives.
• Measurable improvements in data quality, trust, and usability.