Sr. Director, Data Governance

About Gen:

Gen is a global company powering Digital Freedom through consumer brands including Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Our combined heritage is rooted in providing safety for the first digital generations. We bring leading technology solutions in cybersecurity, privacy and identity protection to more than 500 million users in 150 countries so they can live their digital lives safely, privately, and confidently today and for generations to come. We're always looking for smart, fearless, and dedicated people. Together, we have collective passion and a big vision to power Digital Freedom by protecting consumers and giving them control of their digital lives. 

When you’re a part of Gen, you are provided access to a range of resources and support to ensure you can do your best work and live your best life. This includes flexible working options with generous time off and competitive benefits & compensation packages.

Diversity is foundational to how we do business because we know the greatest ideas and results come from our unique perspectives and differences. We strive to create a safe, inclusive environment where you can bring your whole self to work. Team members are valued, respected, and celebrated for who they are in a meaningful and exciting atmosphere. Gen is an equal employment opportunity employer. Employment decisions are based on merit, experience, and business needs. 

If this sounds like you—Gen has a dynamic, supportive culture with core values that celebrate diversity, promote teamwork, and encourage every team member to contribute and grow—join us!

About the Role:

Sr. Director of Data Governance with at least 15 years of experience in data governance, data management, data compliance or a related field, will be leading the team responsible for data governance at Gen. This role is critical in providing assurance that data is effectively governed, protected, and utilized to drive business value. Demonstrated ability to develop, implement, and maintain policies and frameworks, and ensure compliance with relevant regulations and industry standards. Strong written and verbal communication skills.

Responsibilities:

• Establish a data governance framework aligned with business objectives and the data landscape
• Partner with the Head of Data to develop and implement a comprehensive data governance program
• Implement policies and procedures to identify and safeguard sensitive and personally identifiable information (PII).
• Define data lifecycle management processes and controls, including acquisition, storage, archival, and disposal.
• Collaborate with data owners, stewards, and other CDO functions to establish data ownership, accountability, and stewardship responsibilities.
• Develop and implement a plan to provide continual assurance as to the quality of data and data products
• Oversee the hiring of new data governance analysts and engineers.
• Review and adjust the data governance team skills mix and diversity according to the organization's objectives and risks
• Develop and implement a plan for the professional and career development of data governance staff
• Provide mentorship to help them develop their professional and personal development to improve their performance
• Lead by example at the organizational level
• Inspire, motivate, and guide others to adopt a point of view, make changes, or act
• Cultivate an open, cooperative, and collaborative learning culture for the organization.

Data Strategy and Governance Framework:

• Assist in defining Gen’s data strategy and developing a governance framework that aligns with business goals, objectives, and priorities
• Establish data management policies, standards, and guidelines to ensure data quality, privacy, and security

Data Governance Program:

• Partner with legal, security, privacy, and other stakeholders to define data policies and procedures.
• Define the policies, processes, controls, and frameworks, to effectively manage data assets throughout the data lifecycle
• Enforce data policies and procedures, including data usage, access, retention, sharing, and privacy, in compliance with relevant regulations such as GDPR or CPRA.

Data Quality and Standards:

• Establish data quality standards and ensure data accuracy, consistency, completeness, and timeliness.
• Defining data quality metrics and developing a roadmap for implementation based on the criticality of the data and data products
• Ensure data profiling and cleansing processes are integrated into the data product design lifecycle and managed by each function of the CDO
• Develop metrics for data accuracy, completeness, consistency, validity, timeli