Product Manager, Data Products

Title: Product Manager, Data Products Location: Remote - Headquarters located in Burlington, MA

Job Type: Remote

FLSA Classification: Exempt Reports to: Chief Product Officer Department: Product Compensation: Base salary range: $134,000 - $145,000(This role is compensated as base salary plus a company discretionary bonus. The bonus is determined by company performance and is not guaranteed.)

The Opportunity

Prendio's platform runs procurement and payments for biotech companies. That gives us a distinctive view of how life sciences organizations buy — what they purchase, from which suppliers, at what price, and how all of that shifts over time. We have solid foundational reporting on top of that today. What we have not done yet is turn it into products.

That is what this role is for. You will own data products at Prendio: figure out what our data can tell customers that nobody else can, turn those insights into products people will pay for, and take them to market. This is close to a blank sheet. The business case is already identified and the revenue behind it is significant. You are being brought in to convert that into real products, not to maintain reporting that already exists.

You will start on the biotech side of the business and expand into the supplier side as the area matures. You will work directly with engineering and the data team, alongside the owner of the business line, and you will own commercialization and go-to-market. This is an individual contributor role with clear ownership of the area.

Key Responsibilities:

Own the data product strategy

• Define what we build, who it is for, and why. Identify which proprietary and non-proprietary data assets carry commercial value and determine how they get packaged into products.
• Build the roadmap and sequence it around where we have the best chance to win.

Take products from concept to revenue

• Run discovery with customers to validate what is worth building before we build it.
• Own packaging, pricing, and go-to-market in partnership with the business line owner, sales, and marketing.
• Prove commercial value. These products are expected to generate measurable revenue, not just usage.

Work close to the data

• Partner with analysts, architects, and engineering to translate opportunities into concrete requirements: datasets, calculations, and functionality.
• Prototype your own concepts. We are tool-agnostic — there are plenty of ways to do this now — but we expect you to be able to stand something up yourself and pressure-test an idea before it goes into the roadmap.

Handle the compliance side of commercializing data

• Understand what we can and cannot do with the data we hold: data rights, privacy, contractual restrictions, and regulatory obligations.
• Surface those constraints early and design around them rather than discovering them at launch.

Drive execution

• Project manage delivery with engineering. Keep priorities clear and the work moving.
• Own the underlying capabilities your products depend on. Where a data product needs platform, reporting, or infrastructure work to happen first, you drive that to completion with the teams and owners responsible for it.
• Bring the customer and commercial context into the room so the team is building the right thing, not just building.

Where This Role Can Go

• You will start by proving out the first data products on the biotech side of the business, then expand into the supplier side as the area matures.
• The near-term focus is depth of ownership as an individual contributor rather than building a team. As data products grow into a business in their own right, the role is positioned to grow with it.

What Success Looks Like

• We know which of our data assets are commercially viable, and which are not, because you have tested the hypotheses rather than argued them.
• At least one data product is in market, priced, and generating revenue.
• There is a roadmap the business believes in, sequenced by where the opportunity is real.
• Engineering and the data team know what they are building and why, and the work is moving on a predictable cadence.
• Compliance and data-rights questions get answered early in the process, not at launch.

Your First 90 Days

• Learn the data. Understand what we hold, where it comes from, and what we are contractually and legally permitted to do with it.
• Talk to customers. Run structured discovery on the biotech side to find the problems worth solving.
• Inventory the opportunities and rank them by commercial potential and feasibility.
• Pick the first bet and build the case for it: the product concept, the packaging, the pricing hypothesis, and the path to market.
• Deliver a sequenced roadmap for the first year of data products.

Qualifications

• Demonstrated experience taking data products from concept through commercialization. You have launched products built on data and they made money.
• A strategic product thinker who understands the mechanics and the risks of turning data into a commercial product, including the difference between reporting on data and building a product out of it.
• A background in the data world earlier in your career — analyst, data architect, analytics, or similar — that you have grown into a product and strategy role.
• Comfortable with SQL and data concepts, and able to engage substantively with analysts, architects, and engineers.
• Able to prototype independently. We do not care which tool you use, but we expect a product manager at this level to build enough to validate a concept without waiting on someone else.
• Experience in a regulated industry, where commercializing data carries compliance, privacy, and data-rights considerations that have to be understood up front. The mindset matters here more than the specific vertical.

Helpful Background

• Life sciences, biotech, procurement, or supplier-side experience, from either the buyer side or the supplier side.
• 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.

Benefits:

• Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid
• BCBS Dental insurance - 100% of employee premiums paid
• VSP Vision Coverage
• Flexible Spending Account Healthcare
• Health savings account with employer contribution
• 401K/Roth 401k
• Paid holidays
• Paid vacation/Unlimited PTO
• Other benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more

Prendio is an equal opportunity employer and is committed to creating a diverse and inclusive workplace. We prohibit discrimination and harassment of any type and afford equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, age, disability status, genetic information, or any other characteristic protected by law.

This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

US Base Pay Range

US Avg Base Pay Range $134,000—$145,000 USD

Originally posted on Himalayas