Manager, Product Owner – Data Curation

CME Group; Chicago (IL); Vor Ort; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Equity program

401(k) plan

Education reimbursement

Health coverage

Zusammenfassung

CME Group is seeking a data product owner to translate the data curation strategy into a prioritized backlog that drives value across analytics, reporting, and external commercial solutions.

You will collaborate with enterprise stakeholders, prototype data products using BigQuery/Snowflake, and lead Agile ceremonies while promoting data governance and lakehouse adoption.

Qualifikationen

• Bachelor's degree in Business, CS, Data Science, PM, or related field.
• 3+ years as Product Owner/Technical Product Manager/Data Manager in modern enterprise data platforms (Snowflake, Databricks, BigQuery, AWS, Azure).
• Strong understanding of Agile methodologies; SAFe experience preferred (POPM/CSPO a plus).
• Proficient in querying data (SQL basics) to validate assumptions and drive decisions.
• Deep understanding of the complete trade lifecycle and financial derivatives (futures, options).
• Hands-on knowledge of CME Group Exchange Data sets preferred.
• Experience with data lakehouse architectures and BI visualization tools (Looker/Tableau/Power BI).
• Ability to translate complex data architecture into clear business value.
• Experience collaborating with business, analytics, data science, and external data teams.

Aufgaben

• Define & execute vision by translating data curation strategy into a prioritized product backlog.
• Collaborate with enterprise stakeholders to gather requirements and balance demand with objectives.
• Prototype data products using datasets (e.g., BigQuery SQL) to validate assumptions and guide eng.
• Drive adoption of the data lakehouse and promote responsible data ownership.
• Lead Agile ceremonies for the Pod and participate in PI Planning.
• Advise on governance standards and metadata management across the enterprise.
• Ensure data quality and usability of curated assets for consumers.
• Automate data validation against trusted sources.

Kenntnisse

Product ownership

SAFe

SQL basics

Derivatives domain

Stakeholder communication

BigQuery

Snowflake

Databricks

AWS

Azure

Looker

Tableau

Power BI

Data lakehouse

Ausbildung

Bachelor's degree

Tools

BigQuery

Snowflake

Databricks

Looker

Tableau

Power BI

AWS

Azure

Jobbeschreibung

Key Responsibilities

• Define & Execute Vision: Translate the overall data curation strategy into a cohesive, prioritized product backlog that accelerates business value across analytics, reporting, and external commercial solutions.
• Stakeholder Alignment: Collaborate directly with key enterprise stakeholders to obtain requirements, and prioritize features balancing between real-time client demand and enterprise objectives
• Data Prototyping & Product Conceptualization: Advanced proficiency in querying datasets (e.g., BigQuery SQL) to perform hands-on exploration and prototyping against datasets. Build small-scale data proofs-of-concept (POCs) to conceptualize data products, validate business assumptions, and communicate requirements clearly to engineering teams and technical leads.
• Adoption & Domain Ownership: Drive enterprise-wide adoption of the data lakehouse, fostering a culture of responsible data domain ownership and consistent platform utilization.
• 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.
• Enterprise Data Curation & Governance Standards Advisory Partner: Serve as a strategic advisory partner across business units to uphold data lakehouse platform standards and improve enterprise-grade data management practices.
• Quality & Metadata Excellence: Ensure curated data assets meet consumer-desired quality, usability, and experience standards by enforcing robust metadata management.
• Process Automation: Spearhead the implementation of scalable, reusable, and automated data validation processes to continuously verify curated data assets against trusted source systems.

Required Qualifications & Skills

• Education & Core Experience
• Education: Bachelor's degree required (Business, Computer Science, Data Science, Product Management, or related field).
• Experience: 3+ years of experience as a Product Owner, Technical Product Manager, or Data Manager within modern enterprise data platform environments (Snowflake, Databricks, BigQuery, AWS, Azure, etc.).
• 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).
• Data Literacy: Proficient in querying data (e.g., SQL basics) to validate assumptions, investigate issues, and drive data-informed decisions.
• Domain Knowledge: Deep understanding of the complete trade lifecycle and financial derivatives (futures, options), including market liquidity, order book mechanics, post-trade processing, clearing workflows, and risk management inputs.
• Preferred Experience Exchange Data Expertise: Hands-on knowledge and familiarity with CME Group's Exchange Data sets (e.g., product reference, market/tick data, post-trade, order book, settlement data, and market data feeds).
• Data Infrastructure & Analytics: Hands-on experience or working familiarity with modern data lakehouse architectures (e.g., BigQuery, Snowflake) enterprise data warehousing concepts, and Business Intelligence (BI) visualization tools (e.g., Looker, Tableau, Power BI).
• Technical Translation & Alignment: Exceptional ability to bridge the gap between technical engineering teams and business stakeholders, seamlessly translating complex data architecture into clear business value, and converting commercial goals into actionable technical requirements.
• Cross-Functional Collaboration: Direct experience working alongside business stakeholders, applied analytics, data science, or external data product delivery teams.

Compensation & Benefits

The pay range for this role is -.

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.

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.

We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data - empowering market participants worldwide to efficiently manage risk and capture opportunities.

CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes foreign exchange energy agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world.

Hear more about our employee experience Get a look inside CME Group and see what makes us tick A rewarding career is only the beginning Best Place to Work

Additionally, CME Group does not communicate with job applicants over Telegram.

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) companied 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. See posters below for more details. E-Verify Notice E-Verify Notice Español U.S. Right to Work Notice U.S. Right to Work Notice Español