Data Governance Program Lead

ABOUT INSPIRE MEDICAL SYSTEMS

Inspire is the first of its kind medical device designed to make a difference in the lives of those living with Obstructive Sleep Apnea (OSA). We are revolutionizing the sleep industry with our FDA-approved medical device, designed to reduce OSA severity for those who cannot tolerate or get consistent benefit from CPAP. Inspire Medical Systems is committed to enhancing patients' lives through sleep innovation.

We are steadfast in our commitment to prioritize patient outcomes, act with integrity and lead with respect. With positive persistence at our core, we are committed to all those we serve.

At Inspire, we value people - your diverse experiences, backgrounds, and thoughts. We elevate voices and encourage learning opportunities to build a professional network that grows into community. We embrace a people-first culture by offering excellent benefits, 401k matching, ESPP, flexible time off (FTO), and tuition reimbursement.

If you re passionate about making a difference in people s lives and want to work with innovative technology, come be a part of our great team!

The Data Governance Program Lead will work closely with our data team to help us manage and improve the quality and value of our data assets. They will be responsible for defining and implementing data governance policies, standards, and best practices, and collaborating with various stakeholders to ensure data is legal, well-organized, safe, accessible, and valuable. You will also monitor and report on the performance and compliance of our data governance program.

Other responsibilities include leading or actively participating in meetings, communicating timelines and expectations to partners throughout the organization, and identifying and interacting with data stewards, owners and other data related roles. We are looking for a highly energetic and collaborative Data Governance Program Lead who will support our data and analytics team s efforts to introduce and leverage this capability throughout the organization, especially in the medical device space.

• Direct and oversee a managed services vendor to execute development on data governance related tooling, including but not limited to:
  Profisee, Azure Databricks  Unity Catalog and Microsoft Purview.
• Define and operate the data governance policies that support multiple data domains.
• Implement the data governance program roadmap in concert with our vendor, promoting the role of governance and enforcing policy, delivering business value while following data governance best practices.
• Develop and communicate data governance policies to all relevant stakeholders, and provide training and guidance as needed in concert with our Learning and Development (L&D) team.
• Provide authority for all data governance oversight and support for Asset Management to ensure awareness across the organization and drive decisions for data standards and policies.
• Understand various data storage solutions, including extract, load and transform technologies built using our Databricks lakehouse architecture on Microsoft Azure, working with the data engineering team as needed.
• Collaborate with data engineers, data scientists and business units to help solve their analytical needs and ensure data quality and consistency.
• Oversee the processes, policies, and standards organizations use to manage their data, and ensure compliance with internal and external regulations and requirements.
• Monitor and measure the effectiveness and maturity of the data governance program, and report on key performance indicators and metrics.
• Identify and implement opportunities for improvement and innovation in data governance.

• A bachelor s degree in computer science, information systems, business administration, or a related field.
• At least 7 years of experience in data governance, data quality, data management, or a similar role.
• Knowledge of data governance frameworks, principles, and methodologies.
• Experience with data governance tools, such as data catalogs, data dictionaries, data lineage, data quality, and data…