Head of Data Feeds

YipitData

. Own ARR growth, retention, profitability, and overall financial performance .

Posted 10/12/2026full-timeRemote • United StatesLead💰 $225,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving ARR growth, retention, and profitability through strategic planning and execution. Proficient in building scalable organizations, developing pricing and packaging strategies, and leveraging data to create new revenue streams.

Highest-signal resume keywords

Senior Leadership ExperienceP&L OwnershipData Quality MethodologiesClient Relationship BuildingAI and Automation Application

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QualityAPIsMulti-Year PlanningResource AllocationPricing StrategyMarket AnalysisPortfolio ManagementData IntegrationProduct CommercializationInvestment Tradeoffs

Soft Skills

Executive CommunicationTeam BuildingCross-Functional AlignmentExecution DisciplineRelationship Management

Tools & Technologies

Cloud PlatformsMCPsMarketplacesThird-Party IntegrationsData Feeds

Industry Keywords

Financial TechnologyInformation ServicesAnalyticsEnterprise SoftwareAlternative DataMarket DataInvestment ResearchQuantitative InvestorsSystematic FundsData Partnerships

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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%