Key Responsibilities
- Discovery & Assessment: Lead stakeholder interviews to evaluate current-state data maturity, audit existing enterprise data assets, and map critical business workflows.
- Strategy & Architecture: Collaborate with cross-functional delivery teams to design, iterate, and roll out practical governance operating models, policy frameworks, and life cycle processes.
- Catalog & Lineage Deployment: Partner with client leadership to structure business glossaries, technical metadata schemas, lineage tracking, and automated asset scanning schedules.
- Data Quality Management: Establish proactive DQ programs-authoring validation rules, configuring baseline thresholds, orchestrating automated monitoring, and designing remediation paths.
- Master Data Solutions: Support MDM initiatives by mapping core domain entities, setting match/merge logic, and embedding clear data approval workflows.
- Stewardship Enablement: Coach and mentor emerging domain data stewards on operational policies, standard operating procedures, and compliant data consumption.
What You'll Bring
- Demonstrated success architecting and delivering pragmatic governance strategies tailored to specific operational and commercial realities.
- Direct, hands-on configuration or delivery experience with modern governance platforms (eg, Microsoft Purview, Databricks Unity Catalog, Collibra, Alation, Atlan, or equivalent tools).
- Deep functional understanding of metadata management, business glossary design, DQ telemetry, and golden-record MDM practices.
- Proven ability to translate abstract compliance and governance principles into measurable business value.
- Strong consultative and communication skills, comfortable guiding both executive stakeholders and technical data teams.
Industry:
Data & Analytics
Seniority Level:
Not Specified