Director, Data Governance & Management

The Director, Data Governance and Management at Cohere Health is responsible for ensuring the integrity and organization of data across the company. This includes establishing a data governance framework, leading data quality initiatives, and collaborating with various departments to meet enterprise KPIs. The role also involves empowering teams with data literacy and best practices while monitoring data accuracy and compliance with healthcare regulations.

Candidates for the Director, Data Governance and Management position at Cohere Health should possess a Bachelor's degree in health informatics, data analytics, or related fields (a Master's degree is preferred). You should also have 8-10 years of experience in data-related roles, particularly within health technology companies, along with 3+ years of experience in data governance. Familiarity with healthcare privacy regulations and cloud data solutions is essential.

The Director, Data Governance and Management plays a crucial role in healthcare analytics by ensuring data quality and reliability. By establishing data governance standards and monitoring data accuracy, this position enables informed decision-making which is essential for improving patient outcomes. The director's work supports the analytics team in optimizing data usage for clinical purposes, ultimately enhancing care paths.

The Director, Data Governance and Management will significantly influence Cohere Health's operations by promoting data transparency and driving best practices in data quality management. This role ensures that the organization can effectively utilize its data assets, align data practices with healthcare regulations, and ultimately improve patient care outcomes, marking a substantive impact on business and clinical operations.

As the Director, Data Governance and Management at Cohere Health, you can expect a fast-paced, enterprise-centric work environment. The role involves cross-functional collaboration with various teams and adapting to evolving needs, which fosters a culture of innovation and responsiveness. Successful candidates will thrive in this dynamic atmosphere that combines a focus on data management with a commitment to improving the healthcare system.

When answering this question, focus on specific frameworks you've implemented or worked with in the past. Highlight your approach to establishing data cataloging and lineage tracking, along with how you ensured compliance with data quality standards and governance principles.

Discuss your methodology for assessing the criticality of data quality issues. Mention how you collaborate with stakeholders to identify high-impact areas and your approach to creating actionable plans that integrate data governance goals with organizational objectives.

Outline your strategies for enhancing data literacy, such as developing training programs, creating user-friendly data resources, or building analytics communities within the organization. Provide examples of successful initiatives you’ve led that empowered team members to embrace data-driven decision-making.

Share a specific example and walk through the steps you took to resolve the issue. Focus on how you collaborated with cross-functional teams, utilized your analytical skills, and implemented long-term solutions to prevent recurrence.

Discuss your familiarity with healthcare regulations such as HIPAA and how you integrate best practices for data privacy and security into your governance framework. Emphasize the importance of continuous training and monitoring to maintain compliance.

Be specific about the tools and technologies you’ve used to manage and govern data. Explain how you’ve utilized these tools to enhance analytics, track data lineage, and ensure quality, integrity, and compliance.

Provide an example of how you’ve successfully built relationships with data owners and key stakeholders. Highlight the importance of regular communication, collaborative meetings, and shared goals in driving successful data governance initiatives.

Describe your process for developing consistent data definitions and metrics that align with business objectives. Discuss how you involve stakeholders to ensure comprehensive understanding and agreement on these definitions.

Share your strategies for keeping current with industry trends, such as attending conferences, participating in professional networks, or following relevant publications. Highlight how you implement new knowledge and best practices within your own organization.

Discuss how data lineage helps organizations track the origin and journey of data, promoting transparency and trust. Explain its role in auditing, compliance, and ensuring data quality standards are upheld throughout the organization.