SVP, Chief Data Officer - hybrid in Chicago, IL

Position: SVP, Chief Data Officer - flexible hybrid in Chicago, IL
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Job Description:

** 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.

We are seeking a visionary
** Vice President of Data & Analytics
** to lead a high-performing, cross-functional team, while partnering closely with business leaders to unlock innovation, deliver actionable insights, improve operational efficiency, and foster a data-first culture.  The VP will oversee the business ownership of a global data platform, champion and grow data-related initiatives throughout the company and ensure data quality and accessibility to empower self-service analytics across the organization.
** In this role you’ll be responsible for**:
* Define and execute the company-wide data strategy aligned with business goals.
* Build and lead cross-functional data teams to foster a culture of data-driven decision-making.
* Collaborate with senior technical and business leadership to identify opportunities for innovation and operational improvement.
* Ensure scalable, global data solutions that uphold high standards of quality, integrity, and accessibility across the enterprise.
* Build platforms and analytics to answer business questions, support product innovation, and deepen client understanding.
* Champion AI and data literacy across the organization.
* Oversee sub-teams including Business Intelligence, AI Center of Excellence, Quantitative Research, Analytics Engineering, and Client Engagement Software.
* Translate complex data insights into clear, actionable recommendations for technical and non-technical stakeholders.
* Work with systems owners and Data Pipeline Engineering to obtain new data sources
** Strategic Focus:
*** Lead Cboe's data-driven future and empower decision-making by collaborating with strategic partners and delivering trusted data, intelligence platforms, AI solutions and actionable analytics.
* Implement the enterprise-wide strategy for generative AI adoption, identifying transformative use cases and embedding AI into core business to drive innovation.
* Advance Cboe’s data and analytics maturity by deepening insights into product usage and client behavior to fuel growth across core businesses.
* Accelerate revenue growth through partnership with business teams both using and monetizing our data by developing differentiated data products with proprietary data.
* Elevate productivity and decision making by delivering scalable, intelligent data tools and platforms that empower both internal teams and external clients.
* Shape Cboe’s long term data and analytics vision, by expanding global usage of client engagement data and navigating the evolving AI landscape to deliver market leading insights and innovation.
** Leadership Expectations:
*** Inspire and retain top talent through impactful projects and autonomy.
* Foster a collaborative, innovative, strategic and highly engaged team culture by inspiring teams to think big, challenge norms and translate ambitious ideas into impactful outcomes.
* Build strong relationships with business leaders, support teams, and vendors (e.g., Snowflake, Sigma).
* Engage with the Board and executive team on key initiatives like AI and analytics.
** The ideal candidate has**:
* Master’s degree in technical fields or analytical fields such as Financial Math, Computer Science,…