Full-Time

Product Manager

Data Technology

Posted on 7/16/2025

Morningstar

Morningstar

10,001+ employees

Independent investment research and data provider

No salary listed

Mumbai, Maharashtra, India

Hybrid

Hybrid work environment requires in-person collaboration at least three days a week.

Category
Product (1)
Required Skills
Market Research
Product Management
Requirements
  • Bachelor’s degree in Math, Finance, Economics, or related field.
  • 2+ years of product management experience.
  • 3+ years in Product adjacent roles (BA, Product Owner).
  • Experience gathering customer-centric requirements and writing functional specification documents.
  • Superior attention to detail including the ability to manage multiple projects simultaneously.
  • Excellent verbal and written communication skills, including strong audience awareness.
Responsibilities
  • Validate client needs, pain points, and business opportunities through ongoing user and market research.
  • Be a SME for your product area(s) and resource for team members across PitchBook.
  • Actively define product roadmap priorities across new opportunities, scaling initiatives, and user needs.
  • Work collaboratively with key stakeholders and project teams to execute your product roadmap.
  • Create detailed functional specifications from prioritized requirements.
  • Communicate requirements and technical details to stakeholders, including engineering teams.
  • Continuously improve our external and internal deliverables and operational processes.
  • Establish project goals, measure your business impact and identify additional opportunities for success.
  • Give compelling presentations to stakeholders on projects and vision.
  • Be a resource for junior team members on the Product Management process.
  • Support the vision and values of the company through role modeling and encouraging desired behaviors.
  • Participate in various company initiatives and projects as requested.
Desired Qualifications
  • Experience working with internal systems, teams, workflow tools, and operational objectives.
  • Experience with Public Equity datasets.
  • Understanding of Data Pipelines and data products.
  • Demonstrate application of artificial intelligence/machine learning solutions to improve process efficiency. This includes knowledge of OCR, Classifier training, and Prompt Engineering.
  • Delivered insights to teams from user research.

Morningstar provides independent investment research and data to individual investors, financial advisors, and asset managers. It offers subscription-based access to a broad database of investment information, analytics, and tools through platforms like Morningstar Advisor Workstation, Morningstar Office Cloud, and Morningstar Cloud, plus managed portfolios and retirement services. The company differentiates itself with a wide breadth of data across retail and professional channels, strong ESG offerings through Sustainalytics, and an ecosystem that combines research, portfolio management, and retirement services. Its goal is to help users make informed investment decisions by delivering reliable data, analytics, and ESG insights while growing its subscription business.

Company Size

10,001+

Company Stage

IPO

Headquarters

Chicago, Illinois

Founded

1984

Simplify Jobs

Simplify's Take

What believers are saying

  • AI assistants can expand advisor productivity and justify premium platform pricing.
  • Private credit analytics opens a large, under-standardized market with clear demand.
  • Retirement personalization and ESG products extend cross-sell across existing distribution channels.

What critics are saying

  • OpenAI and Microsoft can commoditize research workflows inside advisor software.
  • CRSP integration failures would delay cross-sells and weaken Morningstar Indexes renewals.
  • AI-native and free data tools can compress subscription pricing before Morningstar repositions.

What makes Morningstar unique

  • Trusted independent research and proprietary data support advisor and investor workflows.
  • Subscription seats, APIs, and ratings create recurring revenue across multiple customer segments.
  • Deep workflow embedding and data normalization raise switching costs for clients.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Unlimited Paid Time Off

Sabbatical Leave

401(k) Retirement Plan

401(k) Company Match

Paid Sick Leave

Parental Leave

Adoption Assistance

Hybrid Work Options

Stock Options

Professional Development Budget

Tuition Reimbursement

Mentorship Program

Employee Referral Bonus

Company Social Events

Company News

Yahoo Finance
Apr 1st, 2026
Snowflake appoints Jonathan Beaulier as CRO as Morningstar expands financial datasets on marketplace

Snowflake appointed Jonathan Beaulier as chief revenue officer on 31 March 2026, whilst Morningstar expanded its investment datasets on Snowflake Marketplace for institutional clients. The moves strengthen Snowflake's position in financial data workflows and place an experienced insider in charge of monetisation. The Morningstar expansion demonstrates how third-party content can deepen usage in key verticals like financial services. If Snowflake replicates this pattern across other data providers and industries, marketplace activity could become a more significant driver of consumption growth and customer retention, helping offset potential slowdowns in migration-driven revenue. However, Snowflake's dependence on hyperscaler infrastructure pricing remains a risk. The company's narrative projects $7.8 billion revenue by 2028, with some analysts forecasting $10.1 billion by 2029.

Business Wire
Mar 9th, 2026
Morningstar launches AI assistant for financial advisors embedded in Direct Advisory Suite

Morningstar has introduced an AI assistant embedded in Direct Advisory Suite, its flagship advisor platform. The tool integrates investment research, portfolio analysis and proposal generation into a single workspace, using natural-language requests to streamline advisor workflows. The AI assistant automates multi-step tasks including identifying rating changes, preparing meeting briefs and converting client statements into actionable proposals. It draws on Morningstar's independent data and research whilst maintaining enterprise-grade security, with client data never used for AI model training. The launch is part of Morningstar's strategy to become "the intelligence layer for investing". Initial rollout is available to select US-based users, with broader availability planned for US and Canadian clients throughout 2026. The tool can also be accessed through other AI platforms via Morningstar's Model Context Protocol connections.

Yahoo Finance
Feb 28th, 2026
Morningstar beats peer earnings and climbs 14.8% on strong revenue and EBITDA growth

Morningstar has raised $120 million in a Series C round led by Ribbit Capital, valuing the financial data and analytics company at $1.45 billion. The investment follows quarterly results that exceeded analyst expectations on revenue, earnings per share and EBITDA. Chief executive Kunal Kapoor highlighted meaningful growth in revenue, operating income and adjusted operating income for 2025. The results outperformed peers in the financial exchanges and data sector. Founded in 2023, the company is developing new foundation series collective investment trusts for retirement solutions and has hired Scott Brown to lead its direct platform with AI-enabled product rollouts. However, heavy investment in AI and platforms could pressure margins before revenue growth materialises. Community fair value estimates range from $115.77 to $595.65 per share.

Bloomberg L.P.
Feb 27th, 2026
AI gains can be unlocked without cutting jobs, Morningstar says

Companies are using artificial intelligence to justify cutting headcount rather than redeploying workers to boost productivity, according to Morningstar. Analyst Lochlan Halloway wrote that the market is focused on what AI might destroy instead of the value it could create. Firms including Australian logistics software company Wisetech Global have reduced their workforce in response to AI adoption. However, Halloway noted that such redundancies were already a pattern before AI emerged as justification for job cuts. The analysis suggests companies are missing opportunities to unlock AI's potential gains through workforce redeployment rather than eliminating positions.

Yahoo Finance
Jan 30th, 2026
Berkeley buys $3.8M stake in Morningstar as stock trades at lowest valuation since 2019

Berkeley acquired 17,382 shares of Morningstar for approximately $3.78 million during the fourth quarter of 2025, according to an SEC filing. The new position represents 1.2% of Berkeley's $314.47 million in reportable assets under management. Morningstar shares traded at $204.66 as of 28 January 2026, down 38.65% over the past year. The stock now trades at 23 times earnings, its lowest valuation since 2019, whilst its 0.9% dividend yield has reached its highest level since 2020. Morningstar provides investment research, financial data platforms and portfolio management tools to financial advisors, asset managers and institutional investors globally. The company operates a subscription-based business model and generated $2.40 billion in revenue over the trailing twelve months.

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