Director, Data Governance

What will you work on?

The Director, Data Governance role sits in the Integrated Data Services team and provides critical enablement for the enterprise across shared services and the three creative centers. Taking a strong product lens, the role re-envisions data governance as a service to unlock the confident use of data across the organization, prioritizing key data assets that drive business functions and enterprise value. Successful outcomes include a confident and empowered user base engaged in the data to complete work processes, generate insights, and accelerate key work products; strong working relationships across IT teams and with key business stakeholders; clear and well-established policies and processes focused on strategically aligned outcomes; and sustainably embedded technologies that support automated and integrated governance solutions.

How will you create impact?

• Adopt a product-and-people-first approach to data governance, promoting valuable data products and democratizing access through embedded governance processes and aligned policies.
• Develop a product-first, value-oriented mindset within the data governance team, shaping language and workflows that emphasize data enablement across the organization.
• Lead, coach, and manage the data governance team, identifying opportunities for team development and fostering cross-functional relationships within IT and business teams.
• Utilize experience in multi-cloud environments to ensure seamless data access, robust analytics, and modernized governance practices aligned with a creative organization’s needs.
• Collaborate closely with key IT leaders (e.g., data integration, security, business applications, PMO) to advance critical projects and streamline manual efforts for optimal team outcomes.
• Work alongside the VP, Integrated Data Services, and IDS leadership to develop a cohesive data strategy and execution plan that aligns with broader IT and business goals.

What are your skills and experience?

The successful candidate will have a portfolio of work demonstrating experience in:

• Cloud infrastructure enablement across Azure, AWS, and GCP.
• Establishing analytics (including machine learning) and/or data engineering teams in new cloud environments.
• Experience with cloud vendor assessments, contracting, and new vendor integrations.
• Sustaining data and business products in a cloud ecosystem, including machine learning products.
• Launching data and business products in a cloud ecosystem.
• Establishing work cultures and product management (kanban, scrum, or similar).
• Experience with operational cloud ecosystems and ‘day 2’ support needs.
• Experience with eliciting requirements for data and analytic needs.
• Experience with business use cases for advanced analytics products (traditional AI, generative AI).
• Strong product and as-a-service approaches, including establishing customer journeys, design thinking, and agile development practices in existing technical teams.
• Clear understanding of DM-BOK and established data governance best practices.
• Experience with insourcing, outsourcing, and consultant work product management.
• Strong interpersonal skills in matrixed IT and business environments.
• Fiscal management of team budgets and vendor and consultant contracts and outcomes.
   

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