Data Governance Lead

Data Governance Lead

Location: Sunnyvale, California (5days onsite)

Duration: 12+ Month

Need exp from F50 – like META, AMAZON, Apple, Adobe. Etc

Key Responsibilities

1.            Trusted Data Foundation

o             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

o             Own and maintain the KPI taxonomy, establishing clear relationships between executive-level metrics, operational drivers, and root-cause indicators.

o             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

o             Lead master data governance initiatives across product, supplier, customer, and compliance domains.

o             Establish standards, policies, and governance processes that improve data consistency, quality, and AI-enabled attribute discovery capabilities.

4.            Metric Certification & Standardization

o             Define metric certification requirements and governance procedures for inclusion in official reporting.

o             Develop standardized KPI calculation frameworks, including actuals versus targets, rolling averages, period-over-period comparisons, and statistical process control methodologies.

o             Establish target and threshold management processes that support cascading business objectives, seasonal adjustments, and planning updates.

5.            AI Readiness & Cross-Functional Data Governance

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

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

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

o             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.