Summary
Location
Chicago
Salary
$203k - $262k
Type
full-time
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About this role
About Morningstar
Morningstar’s mission is to empower investor success. The Direct Platform team does this by creating products that help financial professionals, and the investors they serve, achieve their financial goals. The Morningstar Direct Platform team is one of the largest business units that strive to give clients access to the data, analytics, and tools that help financial professionals be more efficient, innovative, and connect with their clients in a more meaningful way.
This role is based in our Chicago office, and we follow a hybrid policy of 4 days onsite. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.
Role Overview
We are seeking a Senior Product Manager to turn financial advisor pain points into validated, high-impact AI use cases. This role is a critical member of a dedicated discovery team, responsible for deeply understanding advisor workflows, designing experiments, and providing evidence-based recommendations for what should be built.
Success is measured by the clarity, validity, and impact of use cases, and by how quickly they move from discovery to validated prototypes.
What Success Looks Like:
- High-priority financial advisor workflows are clearly validated and actionable
- Experiments produce clear evidence for go/no-go decisions
- Prototypes effectively communicate workflow improvements
Why This Role Matters
This role bridges the gap between financial advisor needs and AI execution. You ensure what gets built is meaningful, usable, and impactful, reducing wasted effort downstream and increasing adoption.
Key Responsibilities
- Conduct in-depth research and interviews to uncover financial advisor pain points and workflows
- Translate findings into prioritized, actionable AI use cases
- Define success metrics and go/no-go criteria for experiments
- Collaborate with AI Experience Designers and Forward-Deployed Engineers to prototype solutions
- Partner with Head of Product to align on priorities and roadmap
- Document workflow patterns, adoption insights, and validation evidence
- Continuously iterate on experiments based on user feedback
Required Skill Sets
- AI product leadership – Experience owning and scaling AI-powered products from concept to production.
- LLM & model fluency – Working knowledge of modern AI approaches (ML, LLMs, RAG, prompt design, evaluations, quality trade-offs).
- Experimentation & validation – Ability to design experiments to validate product ideas and AI behavior before and after launch.
- User workflow discovery – Proven strength in translating complex user workflows into effective AI-assisted experiences.
- Data-driven decision-making – Defines and tracks success metrics across adoption, impact, and AI performance.
- Technical collaboration – Credible partner to ML, engineering, design, and compliance teams on feasibility, risk, and delivery.
- Responsible AI awareness – Understands bias, safety, privacy, and reliability considerations in AI products.
- Strategic prioritization – Balances short-term delivery with long-term AI platform and product vision.
Qualifications
- 7+ years of product management experience
- Experience with AI and SaaS
- Strong analytical, research, and synthesis skills
- Excellent communication and documentation skills
Total Cash Compensation Range
$203,970–262,230 USD Annual
Inclusive of annual base salary and target incentive
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide-range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
- Financial Health
- 75% 401k match up to 7%
- Stock Ownership Potential
- Company provided life insurance - 1x salary + commission
- Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
- Additional medical Wellness Incentives - up to $300-$600 annual
- Company-provided long- and short-term disability insurance
- Emotional Health
- Trust-Based Time Off
- 6-week Paid Sabbatical Program
- 6-Week Paid Family Caregiving Leave
- Competitive 8-24 Week Paid Parental Bonding Leave
- Adoption Assistance
- Leadership Coaching & Formal Mentorship Opportunities
- Annual Education Stipend
- Tuition Reimbursement
- Social Health
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15+ Employee Resource & Affinity Groups
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
Other facts
About Morningstar
Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, institutional
investors in the debt and private capital markets, and alliances and redistributors. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly listed companies, private capital markets, debt securities, and real-time global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $369 billion in AUMA as of Sept. 30, 2025. The Company operates through wholly-owned subsidiaries in 32 countries.
What you'll do
- The Senior Product Manager will conduct in-depth research to uncover financial advisor pain points and translate findings into actionable AI use cases. They will collaborate with various teams to prototype solutions and document insights for continuous improvement.
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