Head of Data Feeds

🕒 October 12

🇺🇸 United States – Remote

💵 $225k - $250k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 6%

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Own ARR growth, retention, profitability, and overall financial performance • Translate strategy into a multi-year business plan with targets, assumptions, resource requirements, and risks • Establish the business scorecard and provide leadership with visibility into performance, trajectory, and required decisions • Determine target markets, buyer segments, systematic workflows, and competitive strategy • 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 and decide where to scale, maintain, change course, or stop • Define the portfolio proposition and own packaging, pricing, bundling, and entitlements • Partner with Revenue and Client Strategy on sales, trial, onboarding, adoption, retention, and service motions • Build relationships with quantitative researchers, data scientists, portfolio managers, and sophisticated data buyers • Establish operating cadence, decision rights, accountability, and cross-functional alignment • Build the leadership structure, talent, and organizational capabilities required to scale • Set requirements for data integrity, coverage, identities, lineage, joinability, and delivery reliability • Shape distribution across feeds, APIs, MCPs, agents, cloud platforms, notebooks, marketplaces, and integrations • Apply AI and automation to dataset evaluation, quality assurance, documentation, signal testing, support, and implementation • Anticipate changes in systematic and agentic investor workflows and translate them into business and product opportunities

🎯 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 • Record of turning individual products or differentiated data assets into a coherent, repeatable commercial business • Strong market and portfolio judgment • Experience developing pricing, packaging, go-to-market, onboarding, and service models for sophisticated enterprise or technical customers • 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 • Technical fluency in data quality, methodologies, schemas, APIs, infrastructure, and delivery reliability • Ability to build teams, develop leaders, and design scalable organizations • Exceptional written, verbal, and executive communication skills • Preferred: experience serving quantitative investors, systematic funds, data scientists, or other technical investment personas • Preferred: experience in alternative data, market data, financial information services, or investment-research products • Preferred: familiarity with systematic-data requirements such as point-in-time integrity, backtesting, identity mapping, schema stability, lineage, and reproducibility • Preferred: experience commercializing data through feeds, APIs, cloud platforms, MCPs, marketplaces, third-party integrations, or agentic interfaces • Preferred: experience evaluating, sourcing, licensing, or managing third-party data partnerships • Preferred: experience using AI and automation to improve data-product development, quality, evaluation, or client delivery

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity • Annual performance-based bonus of up to 25%

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