Group Product Manager, Data Feeds

Description

The company is a market research and analytics firm focused on the disruptive economy. It recently raised $475M from The Carlyle Group at a valuation of over $1B. Its proprietary technology analyzes billions of alternative data points each day to surface actionable insights across software, AI, cloud, e-commerce, ridesharing, and payments.

The data and research teams turn raw data into strategic intelligence for investment funds and Fortune 500 companies. Work spans sourcing and licensing new datasets, rigorous analysis, and expert narrative framing.

The company has offices in the US, APAC, and India.

The team is building the default intelligence platform for anyone evaluating companies and markets. Data feeds deliver proprietary and exclusively licensed data into clients' research, investment, and business workflows.

This is a player-coach role leading the Data Feeds product management team. You will set the strategy for a portfolio of data products, develop a team of PMs, and help grow a more connected, scalable feeds business for fundamental investors, quantitative and systematic funds, and corporate customers.

You will also directly own one strategically important feed or quant-focused feed initiative, from customer discovery and strategy through development, launch, and ongoing performance. The role suits someone who likes switching between portfolio decisions, coaching, and hands-on product detail.

The goal is to build differentiated products around clear customer problems, combine data where it creates more value, and make feeds easier to evaluate, integrate, and use. You will help decide where to invest and how products fit together.

Responsibilities

• Manage, coach, and grow a team of product managers on customer discovery, strategic judgment, execution, and commercial ownership.
• Set clear product responsibilities, goals, and decision rights so PMs can own their products with the support they need.
• Create practices for planning, roadmap reviews, customer feedback, and performance measurement.
• Recruit and develop talent as the team grows, keeping a high bar for product thinking and accountability.
• Own the portfolio strategy, aligned with the direction set by the Head of Data Feeds. Define how the feeds fit together, meet customer needs, and deliver differentiated value.
• Help PMs write product visions and roadmaps that strengthen both their products and the portfolio.
• Prioritize across roadmaps and shared capabilities based on customer value, commercial opportunity, and resources. Work with the Head of Data Feeds on wider investment decisions.
• Validate use cases and commercial demand early with PMs, including when evaluating new data sources.
• Find portfolio gaps, overlaps, and chances to combine datasets, reuse methods, or extend products to new segments.
• Use customer feedback and performance data to recommend which offerings to scale, improve, consolidate, or retire, and lead agreed changes.
• Act as hands-on PM for one strategic feed or quant-focused feed, owning its vision, roadmap, requirements, and results.
• Run customer discovery, investigate the underlying data, and turn customer needs into clear product decisions.
• Work with Data, Engineering, Data Science, and Quant Research to assess feasibility, shape requirements, and launch products.
• Stay close to client evaluations and integrations, and use what you learn to improve the product and create reusable practices.
• Share responsibility with commercial partners for portfolio revenue, retention, expansion, and product economics.
• Work with Revenue, Client Strategy, Product Marketing, and Solutions Consulting on pricing, packaging, positioning, and sales and evaluation processes.
• Build a clear portfolio story showing customers which products fit their needs and how they work together.
• Balance urgent client requests against repeatable market opportunities so commitments feed a scalable roadmap.
• Track success through adoption, evaluation conversion, time to value, retention, and commercial results.
• Set product standards for data quality, coverage, timeliness, documentation, and delivery across the portfolio.
• Work with Data and Engineering on quality controls, monitoring, change management, and issue resolution.
• Improve how customers discover, evaluate, onboard, integrate, and get ongoing support, working with Applications and client-facing teams.
• Make sure clients understand each product's methodology, limitations, historical changes, and appropriate uses.
• Build a repeatable experience for quant and systematic customers, covering data history, consistency, and transparency.
• Align priorities and responsibilities across Product, Data, Engineering, Research, Quant, Applications, and commercial teams.
• Work with Quant Research on systematic investor needs and research-driven product improvements.
• Work with sourcing and partnerships teams to assess opportunities against customer needs, licensing limits, quality, and economics.
• Communicate strategy, tradeoffs, progress, and risks clearly to leadership and cross-functional partners.

Requirements

• Typically 7+ years of product management experience, including owning commercial data products, data feeds, or similar data-intensive B2B products.
• Experience managing and developing product managers, with proof of improving team performance and individual growth.
• A record of taking products from customer discovery through launch and scale, with measurable customer and business results.
• Strong portfolio judgment: you set priorities across products, allocate investment, and make hard tradeoffs.
• Commercial fluency, such as contributing to pricing, packaging, revenue growth, retention, or product economics.
• Hands-on analytical skills, including SQL and comfort using Python to investigate data and answer product questions.
• Technical understanding of data products, including schemas, methodologies, quality, delivery methods, and how product changes affect clients.
• Strong communication and cross-functional leadership, including aligning teams you do not manage.
• Desire to stay a hands-on product owner while building and leading a team.
• Preferred: experience with alternative data, financial data, or investment research products.
• Preferred: familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration.
• Preferred: experience building a portfolio that serves several customer segments or combines multiple data sources.
• Preferred: experience with third-party data partnerships, licensing, and vendor dependencies.
• Preferred: familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices.

Conditions

Base salary range is anticipated to be $190k - 205k, plus eligibility for an annual performance-based bonus of up to 15%. Final pay may depend on experience, knowledge, skills, abilities, and internal team benchmarks.

The role can be fully remote within the United States. The US headquarters is in NYC. If work is performed outside those offices, income may be subject to New York State tax withholding.

The company is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status.

Benefits

• Comprehensive benefits, perks, and a competitive salary.
• Equity is included in the compensation package.
• Flexible work hours and flexible vacation.
• Generous 401K match, parental leave, team events, wellness budget, and learning reimbursement.
• Growth is based on the impact you make rather than tenure or time in the office.