Product Manager, Data Products

Prendio - BioProcure

1d•$134,000 - $145,000•Remote

About The Position

Prendio's platform runs procurement and payments for biotech companies, providing a unique view of how life sciences organizations buy. This role is responsible for owning and developing data products, transforming existing foundational reporting into valuable customer offerings. The position involves identifying commercial value in data, creating paid products from these insights, and managing their go-to-market strategy. The role will initially focus on the biotech sector and expand to the supplier side, working closely with engineering, the data team, and business line owners. This is an individual contributor role with clear ownership of data products.

Requirements

Demonstrated experience taking data products from concept through commercialization, launching products built on data that generated revenue.
Strategic product thinking with an understanding of the mechanics and risks of turning data into a commercial product.
Background in the data world (analyst, data architect, analytics, or similar) that has grown into a product and strategy role.
Comfortable with SQL and data concepts, able to engage substantively with analysts, architects, and engineers.
Ability to prototype independently using various tools to validate concepts.
Experience in a regulated industry, understanding compliance, privacy, and data-rights considerations for commercializing data.

Nice To Haves

Life sciences, biotech, procurement, or supplier-side experience (buyer or supplier).
B2B SaaS or platform experience.
Experience evaluating and selecting embedded analytics or BI tooling.
Experience pricing and packaging a product that had not been sold before.
Exposure to AI or agentic analytics in a product context.

Responsibilities

Own the data product strategy, defining what to build, for whom, and why.
Identify proprietary and non-proprietary data assets with commercial value and package them into products.
Build and sequence product roadmaps based on opportunities for success.
Take products from concept to revenue, including customer discovery, packaging, pricing, and go-to-market strategy.
Prove commercial value by generating measurable revenue from data products.
Partner with analysts, architects, and engineering to translate opportunities into concrete requirements.
Prototype concepts independently to validate ideas before roadmap inclusion.
Manage the compliance aspects of commercializing data, including data rights, privacy, contractual restrictions, and regulatory obligations.
Drive execution by managing delivery with engineering and ensuring priorities are clear.
Own underlying capabilities required for data products, driving necessary platform, reporting, or infrastructure work.
Bring customer and commercial context to the team to ensure the right products are being built.