Manager, Product Owner – AI/ML & Market Insights

CME Chicago Mercantile Exchange Inc.; Chicago (IL); On-site; USD 81,000 - 135,000; Full time

Benefits offered by this job

Health coverage

401(k) + pension

Education reimbursement

Paid time off

Mental health benefits

Job summary

CME Group is seeking an AI/ML and Market Insights Product Owner to drive ML and generative AI solutions across the derivatives exchange ecosystem.

You’ll bridge business strategy and data science, translating needs into a unified AI roadmap while empowering a technical Pod to focus on the “how.” You’ll collaborate with business leaders to build predictive models, productize liquidity insights, and deploy AI tools for market commentary and campaigns, ensuring compliance and measurable business

Qualifications

• Bachelor’s degree required.
• 3+ years as Product Manager/Owner delivering technical or AI/ML solutions in capital markets or fintech.
• Foundational understanding of financial derivatives, liquidity, and order book mechanics.
• Strong Agile/SAFe fluency; SAFe POPM or CSPO certifications are a strong plus.
• End-to-end ML lifecycle understanding, from data collection to deployment and drift monitoring.
• Ability to query data (SQL basics) to validate assumptions and drive decisions.
• Accredited AI/ML credential strongly recommended; Google Cloud PMLE or similar.
• Excellent communication skills to translate models into business value and align stakeholders.

Responsibilities

• Cross-functional collaboration to align stakeholders and translate business goals into actionable requirements.
• Partner with leadership to build predictive client-intelligence models and forecast volume trends.
• Productize liquidity insights, volatility modeling, and market microstructure analytics into scalable AI features.
• Collaborate with marketing to deploy generative AI tools for market commentary and campaigns.
• Lead Agile ceremonies, PI Planning, and manage the pod backlog with value-driven priorities.

Skills

Product Management

AI/ML

SAFe Agile

SQL basics

Communication

Stakeholder Management

Education

Bachelor’s degree

Job description

We are seeking a highly collaborative and commercially driven AI/ML and Market Insights Product Owner to drive the development of machine learning and generative AI solutions across our derivatives exchange ecosystem. Sitting at the center of innovation, you will bridge the gap between business strategy and advanced data science, translating diverse departmental needs into a unified, high-impact AI roadmap. In this role, you will focus entirely on the "what" and the "why," empowering our highly skilled technical Pod to handle the "how." You will thrive here if you are an exceptional communicator, passionate about financial markets, and excel at translating technical progress into clear, actionable business value. We are looking for a collaborative bridge, who excels at moving complex AI initiatives forward to optimize exchange liquidity, automate market research, supercharge sales intelligence, and elevate our marketing automation.

Key Responsibilities

Cross-Functional Collaboration & Product Roadmap Stakeholder Engagement: Spend the vast majority of your time meeting directly with internal stakeholders and business leaders to align expectations, communicate progress, and translate vague business goals into clear, actionable requirements. Sales & Business Lines: Partner with leadership to build predictive client-intelligence models, identify cross-selling opportunities, and forecast volume trends. Quantitative Research & Market Intelligence: Collaborate with researchers to productize advanced liquidity insights (such as order book depth, bid-ask spread dynamics, and order flow), volatility modeling, and market microstructure analytics into scalable AI features. Marketing: Work with marketing teams to deploy generative AI tools for automated market commentary, personalized client campaigns, and predictive lead scoring. Technology Leadership: Act as the central bridge to platform engineering, bringing engineering leaders into stakeholder discussions early to analyze technical feasibility and ensure strategic alignment. Data Engineering: Collaborate to ensure the data pipelines feeding your models (e.g., historical tick data, order flow) meet strict latency, quality, and production standards. Agile Product Ownership Backlog Management: Own, refine, and prioritize the team backlog using value-driven frameworks (e.g., WSJF) to ensure the pod is always working on the highest-impact deliverables. Feature Decomposition: Break down complex AI/ML features into clear, manageable user stories with precise acceptance criteria. Agile Ceremonies: Lead core Agile ceremonies for your Pod, including Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives. PI Planning: Participate actively in Program Increment (PI) Planning, drafting team PI objectives and identifying cross-pod dependencies within the Agile Release Train. Workflow Management: Help maintain the team’s focus by managing ad-hoc requests, and aligning new scope with prioritized backlog goals so the data science team can execute effectively. AI Product Stewardship Performance Tracking: Define and track metrics for both model performance (accuracy, precision, recall) and business impact (adoption, revenue, market efficiency). Compliance & Transparency: Ensure that AI outputs are transparent, explainable, and fully compliant with strict financial regulatory standards.

Required Qualifications & Skills

Education: Bachelor’s degree required (Business, Computer Science, Data Science, Product Management, or related field).

Experience: 3+ years as a Product Manager/Owner, ideally delivering technical or AI/ML solutions within capital markets, derivatives exchanges, or fintech.

Domain Knowledge: Foundational understanding of financial derivatives (futures, options), market liquidity, and order book mechanics.

Agile/SAFe Fluency: Strong understanding of Agile methodologies. Experience operating within a SAFe environment is highly preferred (SAFe POPM or CSPO certifications are a strong plus).

AI/ML & Technical Expertise ML Lifecycle: Strong understanding of the end-to-end ML lifecycle, including data collection, model training, deployment, and drift monitoring.

Data Literacy: Proficient in querying data (e.g., SQL basics) to validate assumptions, investigate issues, and drive data-informed decisions.

AI/ML Certification: Accredited AI/ML credential strongly recommended upon application and required shortly after hire (e.g., Google Cloud PMLE, Generative AI Leader, Google Cloud Skill Badges, or Google AI Essentials).

Communication & Leadership Technical Translator: Exceptional ability to bridge technical data science teams and business stakeholders, translating complex models into business value and commercial goals into precise technical requirements.

Stakeholder Mastery: Collaborative, team-oriented approach with a track record of successfully balancing competing priorities across diverse stakeholders.

Compensation & Benefits

The pay range for this role is $81,100-$135,100. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant). Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad-based equity program.

Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.

Company Culture

CME Group: Where Futures are Made CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.

At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.

Legal & Compliance

For U.S. employment, CME Group is legally required to validate a new hire’s employment eligibility by having them complete an Employment Eligibility Verification (Form I-9) completed with legally acceptable proof of identity and work authorization (as listed on the Form I-9).

CME Group uses E-Verify, which is an online system operated by the U.S. Department of Homeland Security in partnership with the Social Security Administration to verify employment eligibility and validate social security numbers. Through participation in the E-Verify program, information entered on Form I-9 will be provided and compared to information available at both of these agencies.

E-Verify Notice E-Verify Notice Español U.S. Right to Work Notice U.S. Right to Work Notice Español