VP Data Strategy, Governance

Overview

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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,…