Data Product Manager
Chicago, United States
Full Time Mid-level / Intermediate USD 80K - 157K
Morningstar
Morningstar is an investment research company offering mutual fund, ETF, and stock analysis, ratings, and data, and portfolio tools. Discover actionable insights today.About Morningstar
Morningstar brings inspired problem solvers together with one goal in mind—to help investors reach their financial goals. At our core, we’re one of the world’s top investment research and data companies. But where we set ourselves apart is how we use that data and research to serve a diverse range of users. Our investment data and research enable us to deliver analytics and insights with a purely independent view, and then we leverage the latest in technology and design to deliver an array of solutions that best meet our users’ needs. This foundation of research, data, technology, and design uniquely positions us to provide a more complete set of services to investors all around the world—ultimately helping people make better decisions about their money, or the money they manage for millions of people all over the world.
The Role
We are looking for a Data Product Manager to join the Central Technology Product Development team in support of Morningstar’s Business Intelligence Reporting. As a Data Product Manager, you will play a key role in the development and delivery of data products that drive business decisions and enhance customer experiences. This position is based out of our Chicago office. You will work closely with cross-functional teams including data engineers, data scientists, business stakeholders, and design teams to define, develop, and launch innovative data-driven products. Your goal will be to create and optimize products that provide measurable value to the organization and its customers.
Job Responsibilities
- Define the product vision, goals, and roadmap for data products
- Execute product roadmap collaborating within Agile principles managing the backlog and planning the iterations.
- Collaborate closely with business stakeholders to understand data needs, pain points, and goals.
- Gather requirements, translating business needs into data product specifications.
- Act as the bridge between data engineering and business teams to ensure alignment.
- Ensure that data products adhere to data governance standards, including data quality, security, and privacy
- Work with data engineering and business teams to oversee product development, ensure timelines are met, and manage dependencies
- Develop training materials, documentation, and user guides to drive product adoption.
- Monitor data quality and reliability, working with engineering teams to address issues and continuously improve data products.
- Leverage AI across all aspects of central technology to support automation enabled infrastructure.
- Partner with vendors and assist with regular vendor communications.
Requirements
- Bachelor’s degree and 6-8 years of product management experience.
- Strong understanding of data engineering, analytics, and data science concepts.
- Experience with data visualization tools like Tableau, Power BI and familiarity with SQL or other query languages.
- Basic understanding of Data Transformation techniques (ELT vs ETL, Data deduplication, Data aggregation etc.)
- Ability to translate complex data concepts into clear, actionable product requirements.
- Excellent communication skills, both technical and non-technical, with the ability to present complex ideas to a wide range of audiences.
- Familiarity with Agile methodologies and product management tools like JIRA, Asana etc.
- Balance competing demands and manage the product backlog.
- Familiarity with data discovery tools like Postman and Database tools like DBeaver.
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
Base Salary Compensation Range
$80,457.00 - 136,761.00 USD AnnualTotal Cash Compensation Range
$92,525.00 - 157,275.00 USD AnnualMorningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days 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.
001_MstarInc Morningstar Inc. Legal EntityTags: Agile Asana Business Intelligence Data governance Data quality Data visualization ELT Engineering ETL Jira Power BI Privacy Research Security SQL Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Home office stipend Insurance Medical leave Paid sabbatical Parental leave Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.