Data Product Manager

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.