Senior PM, Agentic AI for Finance (Hybrid Chicago)

Morningstar, Inc.; Chicago (IL); Híbrido; USD 125 000 - 192 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Stock Ownership Potential

401k match up to 6%

Life insurance - 1x salary +commission

Health benefits (medical/dental/vision

HSA contributions

Sabbatical program

Parental leave

Tuition Reimbursement

Volunteer program

Employee Resource Groups

Resumo da oferta

Morningstar, Inc. in Chicago, IL is seeking a Senior Product Manager for Agentic Solutions to own discovery, validation, and delivery of high-impact use cases across Morningstar Direct and agentic capabilities.

You will run experiments, talk with clients, and make evidence-based decisions on what to build and when, aiming to improve tools for asset managers, wealth managers, and advisors. You may come from roles such as advisor, fund analyst, or financial software provider, with familiarity in

Qualificações

• Bachelor's degree in finance, economics, computer science, or related field.
• 5–10 years of relevant industry and/or product management experience.

Responsabilidades

• Own the subject matter expertise on the needs, processes, and workflows of asset managers, wealth managers, and advisors.
• Design and run experiments and prototypes to validate use cases and move bets from discovery to development.
• Define market requirements for data, analytics, and workflow needs with data and software teams.
• Partner with leaders to develop a product vision and execution plan.
• Gather client input to shape capabilities and adoption of agentic solutions.

Conhecimentos

Product management experience

Formação académica

Bachelor's degree in finance, economics, computer science, or related field

Descrição da oferta de emprego

Morningstar, Inc. in Chicago, IL is seeking a Senior Product Manager for Agentic Solutions to own discovery, validation, and delivery of high-impact use cases across Morningstar Direct and agentic capabilities.

You will run experiments, talk with clients, and make evidence-based decisions on what to build and when, aiming to improve tools for asset managers, wealth managers, and advisors. You may come from roles such as advisor, fund analyst, or financial software provider, with familiarity in