At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.

About The Role

: The Enterprise Data Platform team enables data-driven decision-making across PitchBook by delivering scalable, trusted, and accessible data products and services. Our mission is to empower teams across the Enterprise with high-quality data that drives operational efficiency, strategic insights, and faster, more confident decision-making. As PitchBook continues to grow, the Enterprise Data Platform plays a critical role in advancing our data strategy through modern data capabilities, strong governance practices, and scalable platform solutions.

We partner closely with business, analytics, and engineering teams to build reliable data foundations that support innovation, improve accessibility, and unlock enterprise value at scale. The Data Product Manager leads the development of data products that drive business value and support user-centric decision-making. This role is responsible for advancing data accessibility, governance, and quality while partnering cross-functionally with engineering, analytics, and business teams to deliver scalable, high-impact solutions.

Operating at the intersection of data strategy, product delivery, and business outcomes, the role owns the end-to-end lifecycle of data products — from discovery and prioritization through delivery and continuous improvement. Success in this role requires strong systems thinking, the ability to manage data dependencies and remove bottlenecks, and a focus on delivering reliable, high-quality data products efficiently. This is an excellent opportunity for a growth-oriented product manager to expand their expertise in data, analytics, and platform product management within a fast-growing environment.

If you enjoy building customer-centric solutions, thrive in collaborative environments, and are passionate about delivering impactful products, we’d love to hear from you.

Responsibilities

: Own the data product roadmap, aligning priorities with business goals, enterprise data strategy, and measurable outcomes Lead prioritization across initiatives using value, impact, effort, risk, and dependency frameworks Continuously improve delivery flow by reducing bottlenecks, managing dependencies, and increasing delivery predictability Partner with PMO and cross-functional teams to align data products with enterprise initiatives and platform priorities Partner closely with data engineering on data modeling, pipeline design, and scalable architecture decisions Maintain a prioritized product backlog with clearly defined epics, stories, and acceptance criteria Support agile delivery by clarifying

Requirements

, removing blockers, and driving consistent sprint outcomes Use retrospectives and delivery metrics to identify and implement continuous improvement opportunities Lead discovery efforts through stakeholder engagement, usage analysis, and data assessments to identify high-value opportunities Translate business needs into clear problem statements, product

, and measurable success metrics Ensure data products are intuitive, accessible, and aligned to the needs of technical and non-technical users Define and monitor adoption, da