Data Governance Lead

Company:
Qualcomm Incorporated Job Area:
Information Technology Group, Information Technology Group >
Systems Analysis General Summary Qualifications

• Bachelor’s or Master’s degree in Information Management, Computer Science, Business Administration, or related field.

• Seasoned Data Governance Lead with 10+ years of experience driving governance strategies and frameworks in a Fortune 500 enterprise.
• Strong understanding of data governance frameworks and best practices.
• Established and maintained an enterprise-wide data governance framework to ensure the integrity, security, and compliance of organizational data assets.
• Proven expertise in defining, implementing, and certifying enterprise-wide KPIs across critical business functions to drive measurable outcomes and strategic alignment.
• Familiarity with regulatory requirements and industry standards for data privacy and security.
• Driven strategic initiatives to improve data quality, accessibility, and usability across the business.
• Excellent leadership, communication, and stakeholder management skills.
• Experience with data governance tools (e.g., Collibra, Informatica).
• Experience with Acceldata and Databricks a plus.
• Experience with master data management.

5+ years of IT-relevant work experience with a Bachelor's degree, or 7+ years of IT-relevant work experience without a Bachelor’s degree.

• Helps drive enterprise-wide data quality and compliance initiatives through governance frameworks, metadata standards, and catalog management. Performs data enrichment, cleansing, validation, and root cause analysis using tools such as Acceldata and Unity Catalog.
• Support integration of Acceldata with platforms such as Databricks, Unity Catalog, and other enterprise data tools.
• Architect and implement scalable data quality frameworks that span ingestion, transformation, and consumption layers.
• Define and enforce quality thresholds, validation rules, and governance policies across data domains.
• Collaborate with data owners and stewards to baseline quality scores and track incident resolution.
• Build reusable modules for profiling, scoring, and rule-based validation using Acceldata and Databricks.
• Automate data profiling across bronze, silver, and gold layers using Databricks and Acceldata.
• Implement scoring mechanisms to assess data reliability and business relevance.
• Monitor schema drift, freshness, and anomaly detection using AI/ML-enhanced observability tools.
• Develop observability dashboards for pipeline health, latency, throughput, and error tracking.
• Integrate Acceldata’s observability engine with Databricks workflows and Unity Catalog.
• Enable end-to-end lineage and impact analysis to support root cause investigations.
• Configure and manage Acceldata and Collibra for enterprise-wide data quality and metadata management.
• Use Unity Catalog for metadata capture and lineage tracking within Databricks.
• Support governance planning, backlog refinement, and training for data stewards.
• Produce clear, comprehensive technical documentation for complex systems and processes. Communicate technical concepts effectively to both technical and non-technical audiences.
• Stay current with industry trends and emerging technologies in data governance, quality, and engineering. Actively engage with senior leadership and contribute to the evolution of enterprise data strategy.

• Working independently with no supervision.
• Decisions are more significant in their impact, influencing overall program or project success, finances, and/or the ability to meet objectives. Errors are not readily apparent due to the complexity of work process/product or time between decisions and results. Errors typically result in significant expenditure of time, resources, and funds to correct.
• Provides technical leadership and mentorship to junior level data engineers. Reviews code, offers architectural guidance, and ensures adherence to best practices in data engineering and governance.
• Partners with internal and external stakeholders to translate data needs into scalable technical solutions. Ensures alignment with compliance,…