Sr. Data Product Manager, Enterprise Data Platform

As a Senior Data Product Manager at PitchBook, a Morningstar company, you will be a key member of the Enterprise Data Platform team within the Enterprise Technology organization. Your role will involve leading the strategy, vision, and development of data products that drive business value and prioritize user-centric principles. Here's what you can expect in this role: Role Overview: At PitchBook, we foster a culture of curiosity, collaboration, and innovation. We value customer empathy and strive to create excellent customer experiences through product innovation. As a Senior Data Product Manager, you will play a crucial role in developing data products that enable the enterprise to grow and run more efficiently. Key Responsibilities: - Product Strategy & Vision: Develop and execute a strategic roadmap for data products aligning with company goals - User-Centric Design: Ensure products prioritize end-user needs and experiences by gathering feedback and leveraging data insights - Cross-Functional Collaboration: Work closely with various stakeholders to deliver impactful data products - Data Accessibility & Governance: Lead development with a strong focus on accessibility, governance, and ethical data practices - Quality Assurance: Implement processes to maintain data integrity and compliance with quality standards - Data Literacy: Translate complex data concepts into actionable strategies for technical and non-technical audiences - Innovation & Differentiation: Identify opportunities for innovation that empower internal and external customers - Mentorship: Foster a culture of growth and excellence within the Product organization by mentoring team members Qualifications Required: - Bachelors degree in Computer Science, Business, Finance, or related field - 5+ years of product management experience in financial services or data-related roles - Expertise with public equity datasets and hands-on experience applying data to deal workflows - Strong data literacy and proficiency in data analysis and interpretation - Excellent communication and collaboration skills, including with executive-level stakeholders - Familiarity with data governance, data quality, and accessibility principles - Strategic mindset aligning data products with business objectives - Experience influencing senior leadership through data-driven insights - Proficiency with tools such as Snowflake, SQL, Tableau, modeling platforms, Mixpanel, FullStory Additional Company Details: PitchBook values collaboration, diverse points of view, and constructive discussions. The company believes in investing heavily in its people, fostering a respectful working environment built on integrity, growth, and business value. The hybrid work environment at Morningstar provides the opportunity for in-person collaboration each week, enhancing flexibility and engagement with global colleagues. Please note that the job conditions for this position involve a standard office setting with the use of a PC and phone throughout the day. Limited corporate travel may be required for remote offices or business meetings and events. As a Senior Data Product Manager at PitchBook, a Morningstar company, you will be a key member of the Enterprise Data Platform team within the Enterprise Technology organization. Your role will involve leading the strategy, vision, and development of data products that drive business value and prioritize user-centric principles. Here's what you can expect in this role: Role Overview: At PitchBook, we foster a culture of curiosity, collaboration, and innovation. We value customer empathy and strive to create excellent customer experiences through product innovation. As a Senior Data Product Manager, you will play a crucial role in developing data products that enable the enterprise to grow and run more efficiently. Key Responsibilities: - Product Strategy & Vision: Develop and execute a strategic roadmap for data products aligning with company goals - User-Centric Design: Ensure products prioritize end-user needs and experiences by gathering feedback and leveraging data insights - Cross-Functional Collaboration: Work closely with various stakeholders to deliver impactful data products - Data Accessibility & Governance: Lead development with a strong focus on accessibility, governance, and ethical data practices - Quality Assurance: Implement processes to maintain data integrity and compliance with quality standards - Data Literacy: Translate complex data concepts into actionable strategies for technical and non-technical audiences - Innovation & Differentiation: Identify opportunities for innovation that empower internal and external customers - Mentorship: Foster a culture of growth and excellence within the Product organization by mentoring team members Qualifications Required: - Bachelors degree in Computer Science, Business, Finance, or related fi