Senior Director, Head of Data & Analytics Product Development

At Cboe Global Markets, 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 meaningful 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. We strive to provide employees a safe space to network, share ideas and create opportunities.

Location Overview

Cboe HQ is located in the historic Old Post Office district, blending classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering natural light and panoramic views of the city skyline and the Chicago River. With its prime downtown location, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines. Amenities include restaurants, a fitness center, and collaborative workspaces, creating a vibrant work environment in one of Chicago's most iconic areas.

To support strong partnership and team connection, this role follows a four-day in-office work model.

About The Role

Cboe Global Markets is seeking a Head of Data & Analytics Product Development to help identify, develop, and monetize data products built from Cboe's proprietary data and analytics assets. Reporting into the Data Product Strategy team, this role turns data and research into product concepts that shape the roadmap and drive commercial value. This role will act as a player/coach by actively participating in building new data products while leading a small team centered on three outcomes:

• Uncovering new data and product opportunities through rigorous research
• Partnering with technology and analytics teams to build and launch data products
• Converting those capabilities into scalable revenue

The role also helps shape Cboe's AI strategy by identifying where AI can enhance existing and future analytics products.

Responsibilities

Data Science Research & Product Discovery

• Lead data scientists and applied researchers in uncovering new datasets, signals, and product concepts with commercial potential
• Oversee research from exploratory analysis and modeling through prototype development to generate evidence-based product recommendations
• Assess the feasibility, differentiation, and market relevance of new ideas and help prioritize the strongest opportunities
• Help build out analytics and insights related to Cboe’s prediction markets
• Monitor market trends, client needs, and competition to focus research on real demand and differentiated opportunities
• Establish research and validation standards using statistical analysis, pilots, and experimentation to test product hypotheses

Product Development Collaboration

• Serve as the lead data science partner to technology, engineering, and analytics teams by translating research into technical requirements
• Partner with roadmap owners to align priorities to data science insights and package outputs to accelerate development
• Support delivery during build by answering technical questions, validating outputs, and preserving research intent
• Contribute to post-launch analysis of performance, usage, and enhancement opportunities

AI Strategy for Analytics Offerings

• Define the product vision and commercial roadmap for integrating Generative AI, Agentic, and advanced analytics capabilities into the Data Vantage analytics product suite, focusing on customer value and revenue impact
• Evaluate AI-driven product opportunities (e.g., intelligent insights, automation, and data enrichment) in alignment with Cboe’s data ecosystem, client workflows, and strategic product priorities
• Partner with engineering, data science, and platform teams to translate AI opportunities into clear product requirements, prioritizing usability, scalability, and time-to-market
• Lead the development of product-level principles for AI-enabled features, including transparency, explainability, governance, and responsible use in regulated financial markets
• Serve as the voice of the customer by incorporating client feedback, usage data, and market insights to shape AI-enabled features that address real-world workflows and deliver measurable client outcomes

Monetization & Commercialization

• Support pricing, packaging, and licensing decisions by articulating the value and differentiation of the data and methodology
• Help build business cases for new investments using data-backed analysis of market opportunity and demand
• Identify ways to extend or repackage existing datasets and analytics into new revenue streams
• Track revenue and adoption metrics and partner with commercial teams to refine products based on performance

Requirements

• 10+ years in data science, applied research, or analytics within financial services, market data, fintech, or another data-intensive business
• Experience leading data science or analytics teams and turning analytical work into product outcomes
• Strong understanding of market data, exchange ecosystems, or financial data products and client value drivers
• Technical fluency in data science and AI/ML, including modeling, machine learning, LLMs, and predictive analytics
• Proven ability to collaborate across product, technology, and engineering from concept through delivery
• Clear communicator who can translate complex analytical findings into actionable product recommendations

Benefits

We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given. Here are some of the benefits and perks we offer:

• Fair and competitive salary and incentive compensation packages with an upside for overachievement
• Generous paid time off, including vacation, personal days, sick days, and annual community service days
• Health, dental, and vision benefits, including access to telemedicine and mental health services
• 2:1 401(k) match, up to 8% match immediately upon hire
• Discounted Employee Stock Purchase Plan
• Tax Savings Accounts for health, dependent, and transportation
• Employee referral bonus program
• Volunteer opportunities to help give back to communities
• Complimentary lunch, snacks, and coffee in any Cboe office
• Paid tuition assistance and education opportunities
• Generous charitable giving company match
• Paid parental leave and fertility benefits
• On-site gyms and discounts to other fitness centers

Pay

The anticipated base salary range for this role is $233,750-$302,500 (applicable for US locations only). This role may also be eligible for annual incentive compensation and participation in Cboe's long-term equity programs.