Data Governance Lead

IBOTIX Technologies; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

IBOTIX Technologies in Sunnyvale, CA seeks a Senior Data Governance Lead to establish and govern a trusted data foundation across Databricks and Unity Catalog. You will define KPI frameworks, data lineage, and metric standards for enterprise reporting, partnering with analytics engineers and BI teams.

As a COE for the supply chain data domain, you will mentor analysts and data engineers and drive AI readiness by creating frameworks assessing completeness and governance maturity.

Qualifications

• 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.

Responsibilities

• Design, implement, and govern enterprise trusted data foundation within Databricks, including Gold-layer data models, data quality controls, curated metrics views, and Unity Catalog lineage management.
• Own KPI taxonomy and establish relationships between executive metrics, operational drivers, and root-cause indicators.
• Develop and govern enterprise performance data model with standardized definitions and reporting structures across supply chain domains.
• Lead master data governance initiatives across product, supplier, customer, and compliance domains.
• Define metric certification requirements and governance procedures for inclusion in official reporting.
• Lead Data Readiness for AI initiatives with frameworks evaluating completeness, accuracy, governance maturity, and automation readiness.
• Enable natural language access to certified metrics through platforms like ThoughtSpot, Power BI, Looker, Tableau.
• Mentor analysts, data engineers, and BI developers to promote sustainable governance practices.

Skills

Data Governance

Data Management

Data Architecture

Databricks

Unity Catalog

Data Lineage

KPI Framework

Metric Governance

Data Modeling

AI Readiness

Tools

Databricks

Unity Catalog

Data Lineage

Job description

Work Location: Sunnyvale, California (Onsite)

Long Term Contract

Job Description

Data Governance Lead (Now an SCM COE + HW SCM role)

Again, here is our requirement (strong supply chain - consumer hardware experience).

Note - This is a Senior role as this person will be like COE for Supply chain organization.

Requirements

• Data quality alerting and issue management- Own detection-to-resolution for data quality and abnormality issues in Databricks: alert coverage, triage, routing, SLAs, root-cause analysis, and closure. Hold engineers accountable for keeping DQ and abnormality checks current as pipelines and models change, covering standards, review cadence, and no silent drift on new or modified tables. Report DQ health and recurring failure patterns to stakeholders.
• Document Metrics, definitions, calculations, dimensions - Metric certification and standardization. Define certification standards and the governance gate metrics must pass before official reporting. OWN metric definitions, calculations, terms and measurement standards across functions, document & maintain these in our internal tool and mentor analysts, data engineers, and BI developers so standards become self-sustaining.
• Trusted data foundation- Involve with Analytics Engineers in Architecting and govern the Databricks Gold layer: certified data models with embedded DQ, abnormality checks, creating Metrics views & maintaining Data Lineage
• Data readiness for AI and cross-functional alignment - Involve in driving tiered assessment frameworks scoring datasets on completeness, accuracy, and automation readiness to determine safe levels of AI autonomy, and translate certified metrics into natural-language queryable experiences. Help in data quality improvements from Data Governance.

Here's the original JD

Key Responsibilities

• 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.

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.

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.

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.

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.