SVP Chief Data Officer

We areseekingan influential, future-focusedChief Data Officertoarchitectthe next generation of our enterprise data ecosystem. In this role, theSVPwill shape the vision for how data and AI accelerate innovation, unlock new revenue opportunities, and enable intelligent decisionmaking 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.

Key Responsibilities:

• Set Vision & Strategy:Define and executetheenterprise-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 toidentifyopportunities for innovation, operational excellence, and new revenue streams through data.

• Champion Data Quality & Governance:Develop andownthedata governanceframework, ensuring robust quality, integrity, privacy, and ethical use across the enterprise. Ensure compliance withrelevant global regulations

• Accelerate AI Adoption:Lead the deployment of generative AI andsupportadvanced analytics, embedding transformative solutions into core business processes.

• Deliver Scalable Solutions:Architect and delivertheglobal data platform thatsupportsbusiness, 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 advanceCboe’sdataobjectives.

• 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 impactfulobjectives, 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:Establisha rigorous measurement discipline including KPI governance to ensure data investments drive measurable outcomessuch as data qualityand informed decision makingacrossCboe.

Strategic Focus:

• LeadCboe’sdata-driven future, empowering decision-making and delivering trusted intelligence platforms, AI solutions, andenablingactionable analytics.

• ExtendourDataPlatformtoincludeall Cboe data thatunlocks access toconsistentandhigh-qualityanalyticsacross the enterprise.

• Accelerate revenue growth bypartnering with DataVantagedeveloping differentiated data products and monetizing proprietary data.

• Elevate productivity and decision-making with scalable, intelligent data tools for internal and external stakeholders.

• Drive ethical and responsible AI adoption, ensuring compliance and trust.

Leadership Expectations:

• Inspire andretaintop talent through autonomy, impactful projects, and a culture of innovationand performance management.

• Foster a collaborative, strategic, and highly engaged team environment—encouraging bold thinking and translating ambitious ideas into real-world outcomes.

• Engage with the Board, executive team,industry associationsand external partners on key initiatives, including AI, data strategy, and regulatory compliance.

• Model continuous learning and professional development.

Qualifications/Experience:

• 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.

• Substantialsenior leadershipexperience in a highlyregulated environmentdeveloping data governance and data management processes.CDO experience preferred.

• Proven success building and scaling high-performing, diverse data teams.

• Deepexpertisein 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 recordof 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,anticipateneeds, and deliver enterprise-wide impact.

• Experience leadingethical data use, privacy, and responsible AI.

• Experience thriving in fast-paced, high-growth environments.