SVP, Chief Data Officer - flexible hybrid in Chicago, IL

About the position Building trusted markets —powered by our people. At Cboe, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We’re building inclusive ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities. Sound like the place for you? Join us! We are seeking an influential, future-focused Chief Data Officer to architect the next generation of our enterprise data ecosystem. In this role, the SVP will shape the vision for how data and AI accelerate innovation, unlock new revenue opportunities, and enable intelligent decision making at scale. They will steward our global data platform, modernize data governance, and elevate a data first culture across every function. This leader will ensure data is trusted, accessible, and strategically activated to power advanced analytics and automation. Responsibilities • Set Vision & Strategy: Define and execute the enterprise-wide data strategy—encompassing streaming, at-rest, and cloud data—aligned with business goals and growth ambitions. • Lead & Inspire: Build and empower high-performing, diverse teams that thrive on collaboration, innovation, and continuous learning. • Drive Business Value: Partner with business and technology leaders to identify opportunities for innovation, operational excellence, and new revenue streams through data. • Champion Data Quality & Governance: Develop and own the data governance framework, ensuring robust quality, integrity, privacy, and ethical use across the enterprise. Ensure compliance with relevant global regulations • Accelerate AI Adoption: Lead the deployment of generative AI and support advanced analytics, embedding transformative solutions into core business processes. • Deliver Scalable Solutions: Architect and deliver the global data platform that supports business, regulatory, and client needs, enabling deep insights and product innovation. • Engage Stakeholders: Build strong relationships with internal teams, external partners, regulators, and vendors (e.g., Snowflake, Sigma, AWS) to advance Cboe’s data objectives. • Foster Data Literacy: Act as a catalyst for cultural change, embedding data-driven thinking and championing AI literacy across all levels of the organization. • Promote Engagement and Retention: Strengthen engagement and retention by setting impactful objectives, fostering innovation, and ensuring diverse perspectives are integral to our culture and the way we achieve our goals. • Cross-Functional Collaboration: Collaborate with marketing, finance, operations, product, and other teams to deliver actionable insights and solutions. • Data Security & Access Controls: Define and manage data access controls, user permissions, and data security practices to safeguard sensitive information. • Metrics & KPIs: Establish a rigorous measurement discipline including KPI governance to ensure data investments drive measurable outcomes such as data quality and informed decision making across Cboe. Requirements • Master’s degree in technical or analytical fields (e.g., Financial Math, Computer Science, Data Science, Engineering). • 15+ years in analytics/technology in Financial Markets, including 10+ years in leadership. • Substantial senior leadership experience in a highly regulated environment developing data governance and data management processes. CDO experience preferred. • Proven success building and scaling high-performing, diverse data teams. • Deep expertise in cloud data platforms (e.g., Snowflake), analytics tools (e.g., Sigma, SageMaker), and streaming platforms (e.g., Kafka). • Experience with both on-premises and cloud applications. • Track record of deploying enterprise-wide AI solutions and reviewing technical solutions/code (SQL, Python, Java). • Exceptional communication skills, able to present complex concepts to diverse audiences. • Demonstrated ability to drive change, uncover insights, anticipate needs, and deliver enterprise-wide impact. • Experience leading ethical data use, privacy, and responsible AI. • Experience thriving in fast-paced, high-growth environments. Benefits • Fair and competitive salary and incentive compensation packages with an upside for overachievement • Generous paid time off, including vacation, personal days,

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