Full-Time

Senior Product Manager

Morningstar

Morningstar

10,001+ employees

Independent investment research and data provider

Compensation Overview

$121.4k - $218.5k/yr

+ Target Incentive

Company Does Not Provide H1B Sponsorship

Chicago, IL, USA

Hybrid

Hybrid role; four days on-site per week.

Category
Product (2)
,
Required Skills
Agile
Product Management
A/B Testing
REST APIs
Data Analysis
Requirements
  • Minimum of six years of relevant and progressive experience as a product manager with senior level ownership of a platform or shared capability
  • Strong knowledge of product development, lifecycle and agile methodologies
  • Ability to effectively prioritize and execute tasks in a fast-paced environment
  • Excellent written and verbal communication skills
  • Strong customer service focus
  • Demonstrated experience as a data focused product manager who: Owns metrics and instrumentation; Uses behavioral data to drive prioritization and decisions
  • Hands on experience with event based or behavioral data models
  • Strong analytical fluency (funnels, cohorts, experimentation)
  • Strong data fluency: comfortable reading segment definitions, reviewing event schemas, and working directly with analysts and engineers on data pipeline questions without needing everything translated
  • Experience managing cross-functional stakeholder relationships where you did not have direct authority — aligning engineering, marketing, compliance, and operations teams toward a shared outcome
  • Track record of shipping measurable improvements to user engagement or conversion metrics
  • Technical literacy with APIs, integrations, and data pipelines, enabling strong partnership with Engineering
  • A bachelor’s degree is required
Responsibilities
  • Own the engagement platform strategy for managed accounts, ensuring engagement supports product goals, outcomes, and ongoing participant engagement.
  • Translate managed accounts product workflows and user states into event driven engagement opportunities (e.g., step abandonment, advice completion, enrollment milestones).
  • Own the segment taxonomy and frequency capping strategy — ensuring no participant receives conflicting or redundant messages across product surfaces
  • Ensure engagement logic scales across multiple recordkeepers, RIA’s and plan configurations without custom rebuilds.
  • Own the managed account behavioral event taxonomy, segmentation logic, and eligibility rules in partnership with Engineering.
  • Define and own canonical engagement success metrics and use event‑level data (funnels, cohorts) to prioritize improvements.
  • Own KPI reporting for the engagement platform: enrollment conversion rate, time-to-enroll after nudge, cross-PM message conflicts, campaign launch velocity, and email quality metrics
  • Partner with Marketing Ops to review analytics and surface actionable insights for product and leadership stakeholders
  • Lead A/B testing strategy — hypothesis design, variant logic, sample sizing, and winner analysis — to continuously improve engagement outcomes
  • Own engagement platform canvas and journey architecture for engagement, ensuring reusability, compliance readiness, and clear governance.
  • Establish and govern a lightweight intake model so product PMs route engagement requests through this platform role.
  • Set and enforce frequency and conflict‑resolution rules across managed accounts product surfaces.
  • Prevent message conflicts and ensure a coherent, user-first experience as participants move between enrollment, allocation, contribution, and advisory product surfaces
  • Partner with Engineering on event instrumentation, data pipelines, and integrations supporting managed account engagement.
  • Work with Marketing Operations, Marketing, and Compliance to enable scalable, pre‑approved engagement execution.
  • Act as the single accountable owner for managed accounts engagement decisions across teams.
  • Own platform level quality, analytics definitions, and governance standards for managed accounts engagement.
  • Ensure product or program specific branding, disclosures, and plan level content are dynamically managed (not manually configured) via connected content.
Desired Qualifications
  • Experience operating in regulated or high-risk environments (retirement or financial services)
  • Familiarity with Braze or similar engagement orchestration platforms
  • Demonstrated experience with a modern customer engagement platform — Braze, Iterable, Salesforce Marketing Cloud, or equivalent — with hands-on involvement in campaign logic, segmentation, and journey architecture (not just stakeholder oversight)
  • Experience supporting client facing discussions in complex integration environments

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 assistant launched in Direct Advisory Suite automates advisor workflows for US rollout in 2026.
  • 8% organic revenue and 18% adjusted operating income growth in 2025 fuel $1B share buyback.
  • Anthropic partnership positions Morningstar as AI truth layer, enhancing data accuracy globally.

What critics are saying

  • S&P Global's LCD bundles undercut PitchBook's private credit share within 12-24 months.
  • OpenAI's free research agent in late 2026 obliterates individual investor subscriptions.
  • SEC ESG scrutiny post-Sustainalytics slashes ratings revenue 20-30% by mid-2028.

What makes Morningstar unique

  • Morningstar integrates proprietary data, independent research, and AI across PitchBook and Direct Advisory Suite.
  • Acquired CRSP for $375M in February 2026, rebranding indexes benchmarked to $3T in US equities.
  • Sustainalytics acquisition bolsters ESG ratings, distinguishing from general financial data providers.

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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.