Data Governance Architect
Job Location:
Job Location:
Boston, MA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
3 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role Purpose
The Data Governance Consultant is responsible for assessing defining and operationalizing enterprise data governance across multiple data domains. The role emphasizes governance frameworks policies operating models and adoption-ensuring data is trusted compliant and consistently used across the organization.
Key Responsibilities
1. Current State (As Is) Governance Assessment
Perform a comprehensive as is assessment of data governance capabilities including:
o Data ownership stewardship and accountability models
o Business glossary metadata and lineage practices
o Data quality management approaches
o Privacy security and retention controls
Assess maturity by comparing current practices against:
o Industry best practices
o Recognized governance frameworks (e.g. DAMA federated governance models)
o Regulatory expectations relevant to the organization
Identify gaps in governance coverage consistency and execution.
3. Governance Framework & Best Practice Recommendations
Define and recommend a future state governance framework including:
o Governance operating model (central federated or hybrid)
o Clear roles RACI and stewardship responsibilities
o Standards for data definitions quality and lifecycle management
Propose best practice governance processes based on prior enterprise implementations tailored to organizational culture and maturity.
4. Governance Technology Enablement
Advise on the selection and use of data governance and catalog platforms (e.g. business glossary metadata lineage policy management).
Define how governance processes and policies should be operationalized through tools and workflows.
Ensure governance is embedded into day to day data and analytics activities.
5. Roadmap Prioritization & Change Enablement
Drive the development of a long term data governance roadmap detailing:
o Target governance capabilities and maturity milestones
o Prioritized initiatives with sequencing and dependencies
o Quick win vs foundational improvements
Support change management and adoption by:
o Defining rollout and enablement strategies
o Aligning governance with business value and regulatory outcomes
Expected Outcomes
Clear understanding of current governance maturity and gaps
Pragmatic business aligned governance framework
Improved trust consistency and compliance across data domains
Scalable governance model that supports analytics and AI adoption
