Chicago Board Options Exchange

Senior Director, Head of Data & Analytics Product Development

Chicago Board Options Exchange • $233K — $302K *
Chicago, IL 60629In-Person
Finance & Insurance
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years in data science, applied research, or analytics in financial services or fintech
  • Proven leadership experience in data science or analytics teams
  • Strong knowledge of market data and client value drivers
  • Technical expertise in data science, AI/ML, and predictive analytics
  • Ability to translate complex findings into actionable product strategies

Responsibilities

  • Lead a team to uncover new datasets and product concepts
  • Oversee research and development from analysis to prototype
  • Monitor market trends and assess product opportunities
  • Define the AI integration vision for analytics products
  • Support commercialization through pricing and packaging strategies

Benefits

  • Generous paid time off including vacation, sick, and community service days
  • Benefits include health, dental, vision, telemedicine, and mental health services
  • 2:1 401(k) match up to 8% immediately upon hire
  • Tuition assistance and education opportunities
  • Complimentary lunch and snacks in the office
Full Job Description
Job Description:

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

Location Overview

Cboe HQ is located in the historic Old Post Office district, it's a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River.

With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.

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 being an active participant 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, and 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.

What You'll Do

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 with building 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, with a focus 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 within the broader roadmap
  • 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


What You'll Bring

Required
  • 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


#LI-CP2

Benefits and Perks of working for Cboe Global Markets

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 at any organization. Still, you should know 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 you give back to your communities


Some of our associates' favorite benefits and perks include:

  • 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


  • Paid Time Off


Salary Ranges (applicable for US locations only)
At Cboe, we are committed to providing a competitive, transparent, and market-informed total rewards program. The anticipated base salary range for this role is $233,750-$302,500, with actual compensation determined by job-related factors such as skills, relevant experience, education, internal alignment, and location.

This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.

Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.

Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

About Chicago Board Options Exchange

The Chicago Board Options Exchange, located at 433 West Van Buren Street in Chicago, is the largest U.S. options exchange with an annual trading volume of around 1.27 billion at the end of 2014. CBOE offers options on over 2,200 companies, 22 stock indices, and 140 exchange-traded funds. The Chicago Board of Trade established the Chicago Board Options Exchange in 1973. The first exchange to list standardized, exchange-traded stock options began its first day of trading on April 26, 1973, in celebration of the 125th birthday of the Chicago Board of Trade. The CBOE is regulated by the Securities and Exchange Commission and owned by Cboe Global Markets.
Learn more about Chicago Board Options Exchange
Industry
Finance & Insurance
Founded
1973
* Ladders Estimates

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