Lead Data Governance

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Aldevron, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

At Aldevron, we deliver world-class CDMO services that accelerate the development of groundbreaking therapies. Our mission is to be the engine of innovation for genomic medicine pioneers. As a member of our team, you’ll help bring life-changing innovations to life—impacting millions around the world. We bring together deep scientific expertise, an unwavering commitment to quality, and a collaborative spirit to drive progress. Whether you're launching your career or bringing years of experience, we value the unique perspective you bring. Join us and become part of a mission-driven team advancing science and unlocking human potential—one discovery at a time.

Learn about the Danaher Business System which makes everything possible.

This position is part of the IT Department, located in Bangalore, India. You will be part of the Compliance team and report to the Compliance Leader responsible for data governance strategy, data quality, and enabling trusted, compliant data across enterprise platforms, analytics, and AI initiatives.

In this role, you will have the opportunity to:

- Define and operationalize enterprise data governance practices, including data ownership, stewardship, data quality, and lifecycle management.

- Partner with business and IT stakeholders to establish and maintain enterprise data standards, definitions, and policies across platforms.

- Coordinate with technical analysts and solution architects to optimize master data across key domains and systems, including defining required customer data fields, naming conventions, identifiers, hierarchies, and relationships across CRM and ERP environments.

- Lead initiatives to improve data quality, consistency, and usability, including validation, de-duplication, and process improvements that support analytics and AI use cases.

- Support the implementation and adoption of data governance tools, including metadata management, data catalogs, lineage, and quality monitoring.