*job overview*:
the product owner, data governance, policies, and standards plays a pivotal role in defining, maintaining, evangelizing all data governance policies, standards, best practices, and technology.
this key role supports the product owner, data quality, governance, mdm in shaping the organization's ability to leverage data as a strategic asset, ensuring that data assets are trusted, well-governed, high-quality, and aligned with business objectives to support strategic decision-making, operational excellence, regulatory compliance, advanced analytics, and data-driven innovation.
this leader will champion data accessibility, integrity, and usability, and foster a culture of data stewardship across the organization.
this role requires a significant understanding of complex, enterprise data ecosystems, cloud-native architectures, data modeling, and data lifecycle management.
the person in this position is a senior technology leader who supports the product owner, data quality, governance, mdm, in the day-by-day management and maximization of the value of the data governance and metadata management platform.
*summary of responsibilities*:
- support the establishment and management of enterprise-wide data governance policies, frameworks, and compliance strategies for both structured and unstructured data.
- partner with legal, compliance, and security executives to establish and maintain adherence to hipaa, gdpr, fda, and other industry regulations, proactively shaping enterprise data privacy and protection policies and procedures.
- design and implement enterprise data management frameworks, emphasizing scalable, self-service data access that promotes consistency, accessibility, and reusability of data assets.
- collaborate closely with it and business leaders to foster data democratization, enabling empowered self-service access to high-quality, governed data for data-driven decision-making.
- advance the adoption of data lineage, metadata automation, and data quality monitoring to enhance data visibility, traceability, and proactive issue resolution.
- oversee the architecture and performance of enterprise data governance and management platforms, leveraging tools such as collibra, azure purview, and profisee mdm.
- partner with engineering leadership to ensure azure cloud-based architectures align with data governance best practices, promoting scalability, reliability, and cost-efficiency.
*qualifications (minimum required)*:
- 10+ years of progressive it leadership experience, with a strong track record of success in building enterprise data governance and metadata management demonstrating at least 5 years of deep expertise and hands-on experience in data governance programs.
- proven experience in the large-scale delivery and deployment of data solutions on the azure platform.
- proven experience in designing, implementing, and operating enterprise data governance strategies, with a focus on the definition of policies and standards.
- expertise in enterprise data architecture, data modeling, and metadata strategies, with a focus on ensuring alignment with industry best practices and emerging data management trends.
- hands-on experience and proficiency with leading data governance tools, including collibra, purview, azure tools, as well as broader data management and integration platforms.
- proven experience implementing and scaling data lineage, master/reference data, and data cataloging solutions, with an emphasis on optimizing data governance and visibility.
*preferred qualifications include*:
- master's degree in computer science, or a related field.
- experience leading enterprise-wide data governance and foundational data programs in a clinical research organization (cro).
- strong understanding of federated data governance strategies, and the ability to implement them successfully in a large organization.
- demonstrated experience implementing automated governance workflows for enhanced data management efficiency and intelligence.
li-remote #futureoftech
learn more about our eeo & accommodations request here.