Operations & Project Management

Product Manager

Advanced Tech PlacementParsippany-Troy Hills, NJ🇺🇸United StatesPosted Sep 21, 2026

Why This Role Stands Out

This hybrid Product Manager role offers a unique opportunity to transform vast workforce data into innovative financial products, perfect for someone passionate about strategy, analytics, and bringing new ideas to market. You'll drive the operationalization of cutting-edge data offerings, collaborating with diverse teams to shape the future of data-driven solutions.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Parsippany-Troy Hills, NJ, United States

Posted

6 days ago

Job Description

We are seeking a contract Product Manager will help transform one of the largest workforce datasets in the world into scalable, market-ready data products. With data on more than 30 million U.S. workers, our organization is uniquely positioned to develop differentiated products that create value for financial markets, businesses, and strategic partners. This role will play a key part in operationalizing product strategy, validating new opportunities, and bringing innovative data offerings to market.

Are you passionate about transforming proprietary data into scalable commercial financial products?
Do you enjoy working across strategy, analytics, product management, and data science?
Are you excited by identifying new applications for data and bringing them to market — from workforce intelligence and business insights to validated market signals?
Are you energized by taking ideas from concept and validation through launch?

If so, this may be the role for you. In this role, you will:

Lead the operationalization of new data-driven products, including analytics, financial and macroeconomic indices, and other commercial solutions
Translate strategic opportunities into clearly defined product requirements, methodologies, and execution plans
Partner with strategy, product, engineering, economists, and data science teams to bring new offerings to market
Support product validation through back testing, use case validation, performance analysis, and market feedback
Define product packaging, delivery models, governance, and operational processes
Evaluate and prioritize new use cases for proprietary workforce data across financial markets and adjacent industries
Establish scalable production, quality assurance, and product management processes
Help shape the roadmap for a growing portfolio of data and analytics offerings

No two days are the same. One day you may be evaluating the viability of a workforce-based market signal. Another day, you may be working with economists, data scientists, and engineers to operationalize a new dataset or analytics product. You will help bridge strategy and execution — turning ideas into products that customers can adopt and value.
This role provides broad exposure across our data commercialization efforts while also offering the opportunity to build and launch innovative products from the ground up.
Ready to design what's next? Apply now!

Your product only wins if it materially improves investment decisions, not just provides more data: Unique Data + Strong Signal + Seamless Delivery + Proven Alpha Impact = Commercial Success
TO SUCCEED IN THIS ROLE:

Bachelor's degree required; advanced degree preferred
8–12+ years of experience in product management building, launching, and operationalizing commercial financial data products
Deep investment understanding of financial markets (e.g., Equity, Long/Short, Interest Rates, Credit, Private Markets, Alpha generation, etc.), including understanding of investment workflows and how work happens
Financial data landscape awareness (e.g., Bloomberg, FactSet, Refinitiv) and alternative data ecosystems (e.g., satellite, credit card, geolocation, web scraping), including understanding of where investors are making decisions with weak or incomplete information and translating that into investment signals
Data product capability (e.g., data sourcing, ingestion, cleaning, normalization, entity resolution, latency, accuracy, data lineage, methodology transparency, and data integration workflows), including familiarity with index governance & methodologies
Quantitative & analytical capability (e.g., time series, correlation, regression, machine learning models, data biases, noise reduction techniques), especially back testing and other concepts that prove value to buyers that drive purchasing behavior
Experience with large-scale data sets on modern data and cloud platforms such as Databricks, AWS, Snowflake, or similar technologies
Direct engagement with financial professionals (e.g., interviewing portfolio managers, research analysts, credit/equity analysts, traders, risk managers, etc.)
Strong go-to-market acumen with financial data products (pricing, positioning, differentiation, sales enablement, and moat development)
Demonstrated ability to deliver results (e.g., fast, consistent, increment