VP Data Strategy, Governance

Job Description

The Vice President of Data Strategy and Data Governance will be a key executive responsible for developing and executing the long-term enterprise data strategy and leading the organization's data governance initiatives. This role will drive the company's transformation by ensuring data and AI are central to business decisions and processes. The VP will work closely with business leaders to identify critical business decisions and shape data-driven strategies that empower the organization to achieve its
objectives . They will also oversee enterprise-wide data governance to ensure data quality, privacy, compliance, and alignment with business goals.

As a leader in the organization, the VP will champion the use of data and AI to drive business transformations, working across teams to ensure that data is treated as a strategic asset. This individual will also take responsibility for establishing and maintaining robust data governance frameworks that promote data security, quality, and accessibility at scale.

Enterprise Data Strategy:
• Develop and implement a comprehensive long-term enterprise data strategy aligned with business
objectives , focusing on driving actionable, data-driven decision-making across all functions of the organization.
• Identify key business areas where data can unlock new opportunities or
optimize performance, ensuring that data strategy is central to business goals and priorities.
• Collaborate with business leaders to define the critical decisions the organization wants to drive through data-driven insights, and create actionable plans to support these decisions through data strategy and analytics.
• Drive business transformations by leveraging data and AI to
optimize processes, improve operational efficiency, and accelerate innovation.
• Work closely with senior leadership to integrate the data strategy with broader organizational transformation initiatives, ensuring that data becomes a core part of the decision-making process at all levels.

Data and AI-Driven Business Transformation:
• Lead the charge in embedding AI and data-driven approaches into key business functions such as marketing, sales, operations, finance, and product development to unlock new revenue streams, improve customer experiences, and streamline internal processes.
• Partner with technology, product, and analytics teams to ensure the successful execution of AI and data initiatives, ensuring that these projects are aligned with the overall business strategy.
• Champion a culture of data-driven decision-making across the organization, ensuring that data and insights are consistently utilized to shape strategy and operational decisions.

Data Governance:
• Establish and lead a robust data governance program and operating model that ensures data across the enterprise is accurate , consistent, and securely managed in accordance with industry standards and regulatory requirements.
• Define and implement data governance policies and best practices, ensuring compliance with data privacy laws, security standards, and ethical AI practices.
• Drive the compliance and sponsorship to data governance efforts by working with business leaders and enterprise data owners
• Oversee data quality management efforts, ensuring that the organization has the tools and processes to measure, manage, and improve data quality across all systems.
• Ensure the creation and enforcement of data stewardship roles to ensure that data is properly maintained , validated, and leveraged across all business functions.
• Drive the development of a data governance framework that includes data privacy, security, and compliance, with a focus on minimizing risk and ensuring business continuity.

Cross-Functional Leadership and Collaboration:
• Work closely with technology, analytics, product, and business teams to ensure alignment on data strategy,
objectives , and priorities.
• Foster a data-centric culture throughout the organization by promoting the value of data and ensuring collaboration between data teams and business units.
• Act as the central point
of contact for all data-related matters across the enterprise, advising leadership and stakeholders on strategic data decisions and providing thought leadership on emerging data trends and technologies.

Performance and Metrics Management:
• Define key performance indicators (KPIs) to measure the success of data initiatives and track the impact of data-driven transformations on the business.
• Regularly assess the performance of data and AI strategies, identifying areas for optimization and ensuring continuous improvement in data capabilities.
• Monitor and report on the effectiveness of data governance frameworks, data quality, and compliance across the enterprise.

Talent Development and Team Leadership:
• Build and lead a high-performing, diverse data strategy and governance team, ensuring that team members have the skills and tools necessary to execute the data strategy effectively.
• Support the professional development of team members, offering mentorship and fostering a culture of growth and learning.
• Ensure that the data governance function is adequately resourced, ensuring the right people, processes, and technologies are in place to maintain governance standards across the organization.

Qualifications & Experiences:
• 15+ years of experience in data strategy, data governance, and leading data transformation initiatives, with at least 7 years in a senior leadership or executive role.
• Proven track record
of successfully driving business transformations through data and AI, with a focus on delivering measurable business value.
• In-depth knowledge of data governance frameworks, data privacy and security regulations (GDPR, CCPA, etc.), and AI ethics.
• Strong expertise in data management, data quality, and compliance standards across large-scale, complex enterprises.
• Experience in developing and executing enterprise-wide data strategies, including data architecture, data integration, and advanced analytics.
• Extensive experience in building and leading cross-functional teams, collaborating with senior executives, business stakeholders, and technical teams.
• Strong strategic thinking and decision-making skills, with the ability to translate business needs into data-driven solutions and actions.
• Excellent communication, influencing, and presentation skills, with a demonstrated ability to build relationships and drive alignment across the organization.
• A Master's degree in Computer Science , Data Science, Engineering, Business Administration, or a related field is preferred.

Desirable Skills:
• Experience in leading digital and AI-led transformations in large organizations.
• Familiarity with cloud-based data platforms (AWS, Azure, GCP) and modern data technologies.
• Proven ability to manage complex, cross-functional initiatives and ensure alignment with business
objectives .

Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Jobcode: Reference SBJ-eox978-18-97-14-80-42 in your application.