Manager, Data Product Strategy; Funds

• Company-wide events

At Pitch Book, 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, Pitch Book is the place for you.

As a member of the Product and Engineering team at Pitch Book, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve.

Join our team and grow with us!

The Product Management team within Pitch Book’s Product organization works to strategically align Pitch Book’s product initiatives with core customer needs and ruthlessly prioritize development efforts to drive both increased user engagement and increased win rates vs competitors.

The Pitch Book product team is seeking a leader to join our Data Product team. This leader will be responsible for setting the direction and driving results for Funds Data s requires a deep understanding and experience with private markets, particularly in how data is collected, captured, displayed, and used by clients. You will work closely with our data operations, technology, marketing, sales, and product teams, to define the product strategy, develop roadmaps, and drive new user engagement through delivering intuitive and seamless product improvements.

• Lead the strategic vision and roadmap for the Funds dataset, translating executive vision into prioritized, measurable initiatives that deliver customer and business impact
• Lead, mentor, and develop a high‑performing team responsible for the Funds dataset, fostering clear ownership, strong collaboration, and professional growth
• Lead cross‑functional execution of complex data initiatives by partnering closely with Data Operations, Engineering, and Platform teams to design, implement, and continuously refine pipelines, tooling, and processes to meet performance, quality, and delivery requirements
• Manage data governance for the Funds Dataset, establishing clear standards for data models, schemas, lineage, quality controls, and delivery, ensuring accurate, timely, and ethical data collection
• Compile and communicate market intelligence on your dataset’s competitive landscape, highlighting opportunities for differentiation and strategic positioning
• Ensure datasets are reliable, scalable, and optimized for machine interpretation for advanced analytics, APIs, AI, and other internal and external client use cases
• Act as a subject matter expert in internal and external discussions, representing the company’s data capabilities, governance rigor, and operational excellence
• Partner closely with Product Managers to ensure datasets are designed and structured to meet external delivery needs (Feeds, platform integrations, Index‑ready, and AI/ML formats)
• Collaborate on schema alignment, service‑level targets, and data accessibility to optimize…