Data Governance specialist
Our primary focus is on candidates with strong business-facing and communication driven skills, along with solid Data Governance experience. We are looking for someone who can effectively work with business stakeholders, drive discussions, gather requirements, document processes, and coordinate across teams.
The ideal profile should have:
- Strong communication and stakeholder management skills.
- Experience working directly with business teams.
- Requirement gathering, analysis, and documentation experience.
- Hands-on exposure to Data Governance processes, standards, and controls.
- Experience creating and maintaining documentation, process flows, and governance artifacts.
- Good understanding of technical aspect like Snowflake pipeline/data flows from functional perspective.
- A business oriented mindset with enough technical understanding to bridge discussions between business and technology teams.
Data Governance Framework & Data Quality
Define and establish data quality standards, rules, and monitoring controls across key retail domains (Customer, Product, Inventory, Location, downstream systems).
Embed data quality checks and controls within data pipelines, platforms, and applications in collaboration with Technology and Analytics teams.
Develop and track data quality KPIs and remediation processes.
Design and implement an enterprise-wide Data Governance framework.
Governance Policies & Standards
Develop and document enterprise data policies, standards, and guidelines (data definitions, metadata, lineage, classification, and usage rules).
Establish consistent governance controls across reporting, analytics, AI/ML models, and operational systems.
Align governance practices with regulatory, privacy, and information security requirements in collaboration with Legal and Compliance teams.
Data Roles & Operating Mode
Define and formalize Data Owner, Data Steward, and Data Custodian roles and responsibilities.
Establish decision rights and accountability framework for enterprise data assets.
Design and implement a sustainable data governance operating model to support innovation and scalability.
Enablement & Adoption
Develop governance playbooks, templates, and documentation to support adoption across business and technology teams.
Conduct stakeholder workshops and awareness sessions to promote data governance best practices.
Provide actionable guidance to technical and non-technical teams on data standards and policies.
Collaboration & Governance Oversight
Lead cross-functional governance forums and working groups.
Partner with Product, Engineering, Analytics, and Business teams to align governance with business objectives.
Track governance maturity, risks, and progress, and provide periodic reporting to senior leadership.
Overall, we need more of a functional/business governance resource rather than a highly technical-focused profile.
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