Data Governance Lead

Data Governance Lead
Location: Sunnyvale, California



Industry: High Tech Company

Candidate should be genuine

Key Responsibilities

1. Trusted Data Foundation

   • Design, implement, and govern the enterprise trusted data foundation within Databricks, including Gold-layer data models, data quality controls, curated metrics views, and Unity Catalog lineage management.

2. KPI Taxonomy & Performance Data Modeling

   • Own and maintain the KPI taxonomy, establishing clear relationships between executive-level metrics, operational drivers, and root-cause indicators.
   • Develop and govern the enterprise performance data model, providing standardized definitions, time grains, dimensional hierarchies, and reporting structures across all supply chain domains.

3. Master Data Governance

   • Lead master data governance initiatives across product, supplier, customer, and compliance domains.
   • Establish standards, policies, and governance processes that improve data consistency, quality, and AI-enabled attribute discovery capabilities.

4. Metric Certification & Standardization

   • Define metric certification requirements and governance procedures for inclusion in official reporting.
   • Develop standardized KPI calculation frameworks, including actuals versus targets, rolling averages, period-over-period comparisons, and statistical process control methodologies.
   • Establish target and threshold management processes that support cascading business objectives, seasonal adjustments, and planning updates.

5. AI Readiness & Cross-Functional Data Governance

   • Lead enterprise Data Readiness for AI initiatives by developing assessment frameworks that evaluate completeness, accuracy, governance maturity, and automation readiness.

   • Enable natural language access to certified metrics through platforms such as ThoughtSpot, AtScale, Power BI, Looker, Tableau, or similar technologies.

   • Drive alignment on metric definitions, reporting standards, and measurement methodologies across business and technology teams.

   • Serve as a data governance subject matter expert in architecture reviews and mentor analysts, data engineers, and BI developers to promote sustainable governance practices.

Required Skills & Experience

• Strong background in Data Governance, Data Management, or Data Architecture.
• Experience with Databricks, Unity Catalog, data lineage, and enterprise data platforms.
• Expertise in KPI framework design, metric governance, and data modeling.
• Experience establishing master data governance programs and enterprise data standards.
• Knowledge of AI/ML data readiness, data quality assessment frameworks, and analytics platforms.
• Ability to influence cross-functional stakeholders in a matrixed environment without direct authority.
• Strong communication, leadership, and mentoring skills.

MANDATORY SUBMISSION REQUIREMENTS

(No exceptions incomplete submissions will be deleted)

For quick screening and submission, please email me ALL of the following details:

1. First and Last name as it appears on your passport:

2. REQUIRED: Anything we should know about you for presentation (this is your sales pitch):

3. Reason you are looking for a change (detailed explanation):

4. Comm skills (1-10):

5. US Work Status:

6. Resume in MS Word:

7. Education and pertinent certs - degree, year, university:

8. Availability to start (hybrid):

9. Hourly n/a, all-inclusive (1099 or C2C only at this time):

10. Email and phone number:

11. LinkedIn Profile (must have Professional headshot -no banner):

12. Current location (city & state):

13. TEAMS/video interview availability (PST timings):

14. Two Professional MANAGER references with all details

    • Full name:

    • Phone number:

    • Professional email:

    • Project name:

    • Reporting relationship / work performed together: