Head of Data Feeds

YipitData is seeking a strategic business leader to turn their growing portfolio of data feeds into a major, repeatable growth engine. As the Head of Data Feeds, you will own strategy and performance across Quant products, consumer transaction data, and other data feeds. You will set the direction for the portfolio, unite leaders across various functions, and determine where to compete, how to win, and where to invest.

Responsibilities:

• Own business performance, including ARR growth, retention, profitability, and overall financial performance
• Translate the strategy into a multi-year business plan with clear targets, assumptions, resource requirements, and risks
• Establish the business scorecard and provide a clear view of performance, trajectory, and required decisions
• Define the portfolio and investment strategy, including determining which markets, buyer segments, and systematic workflows to pursue
• Shape transaction data, B2B data, Quant products, and other feeds into a coherent portfolio
• Identify opportunities to turn existing data into new products, use cases, and revenue streams
• Allocate investment across the portfolio, making explicit decisions about where to scale, maintain, change course, or stop
• Prioritize capabilities and data assets that can be reused across multiple products, workflows, and markets
• Build the commercial engine, including defining a clear portfolio proposition, packaging, pricing, bundling, entitlements, and other core business-model decisions
• Partner with Revenue and Client Strategy to build repeatable sales, trial, onboarding, adoption, retention, and service motions for systematic-data buyers
• Build strong relationships with quantitative researchers, data scientists, portfolio managers, and other sophisticated data buyers
• Establish a scalable operating model, including creating an operating cadence, establishing clear decision rights and accountability, and resolving cross-product dependencies
• Prepare the business for the future of data consumption, including setting business requirements for systematic products and shaping the portfolio's distribution strategy

Requirements:

• Senior leadership experience building or scaling a data, financial-technology, information-services, analytics, or enterprise-software business
• Direct ownership of a P&L or business line, including revenue performance, multi-year planning, resource allocation, and investment tradeoffs
• A record of turning individual products or differentiated data assets into a coherent, repeatable commercial business
• Strong market and portfolio judgment, with the ability to choose among competing buyer segments, growth opportunities, and investments
• Experience developing pricing, packaging, go-to-market, onboarding, and service models for sophisticated enterprise or technical customers
• The ability to build strong client relationships and translate market evidence into clear business and product choices
• Experience leading through a matrixed organization, establishing decision rights, aligning functional leaders, and creating execution discipline
• Sufficient technical fluency to engage credibly on data quality, methodologies, schemas, APIs, infrastructure, and delivery reliability
• A demonstrated ability to build teams, develop leaders, and design organizations that can scale
• Exceptional written, verbal, and executive communication skills

Preferred Skills:

• Experience serving quantitative investors, systematic funds, data scientists, or other technical investment personas
• Experience in alternative data, market data, financial information services, or investment-research products
• Familiarity with systematic-data requirements such as point-in-time integrity, backtesting, identity mapping, schema stability, lineage, and reproducibility
• Experience commercializing data through feeds, APIs, cloud platforms, MCPs, marketplaces, third-party integrations, or agentic interfaces
• Experience evaluating, sourcing, licensing, or managing third-party data partnerships
• Experience using AI and automation to improve data-product development, quality, evaluation, or client delivery

Benefits:

• Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more
• Base Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $225k-$250k, with eligibility for an annual performance-based bonus of up to 25%