Head of Product GTM & Market Intelligence

About Oxford Data Plan Oxford Data Plan delivers institutional-grade alternative data and daily KPI estimates for 250+ global equities, enabling hedge funds and asset managers to identify inflections ahead of consensus. We combine proprietary and exclusive datasets—including a global receipt panel, exclusive advertising agency partnerships, —with multi-signal modeling to produce point-in-time estimates across 500+ KPIs. Our coverage spans TMT, consumer, financials, and real economy sectors, with daily delivery designed for systematic and fundamental workflows. Core capabilities include: • Daily revenue, orders, and operational metrics with 12-hour delivery lag • Advertiser-level digital spend tracking across 15,000+ brands and major platforms • Sector insights covering digital advertising, food delivery, airlines, and classifieds • Historical backtesting and out-of-sample validation for every tracker Built by former buy-side analysts, our platform is optimized for alpha generation, not data exploration. Clients receive structured feeds with full point-in-time integrity. Oxford Data Plan is trusted by leading quantitative and fundamental investors seeking differentiated signal with institutional rigor.

Oxford Data Plan

The Home of Alternative Data

DatasetsAlternative DataFinancial Data AnalysisFinancial MarketsNowcastingand Public Equity

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O

oxford-dp.com

51-200 employees

Market Research

London

2022

Privately Held

2.4k LinkedIn followers

• Win and deal rate analysis. Own the product level view of commercial performance: win/loss themes, conversion rates by product, segment and sector, and where deals stall for product reasons.
• Target market and TAM. Define and maintain our target market and TAM analysis by client segment, sector and KPI coverage area, so roadmap decisions are sized against addressable revenue. This becomes the reference map for where we grow next.
• Roadmap prioritisation. Recommend which products, segments, sectors and KPIs to prioritise, ranked by ARR impact, drawing on client interactions, pipeline evidence and your own analysis.
• Gap identification. Keep a live, ranked view of gaps in the current offering versus client demand, each with the revenue attached. Coverage gap closure is the company-level metric this role owns; Tech and Partnerships execute the closures.
• Product and Data Strategy Working Group. Take a leading role in the working group, holding the Revenue seat and bringing win/loss evidence and client demand ranked by ARR into every cycle.
• GTM messaging and timing. Create the messaging Sales and Account Management take to market for each product and launch: positioning, proof points, competitive counters and launch timing.
• Cross-department collaboration. Work closely with the CRO, CTO and Head of Data Partnerships so commercial signal reaches product and partnership decisions, and new capability reaches the sales floor.
• Market intelligence. Track competitor coverage, pricing and product moves, and keep our differentiation and Series B product narrative current.
• ARR from products launched through the working group, and improved win rates on deals where a roadmap gap had been cited.
• Coverage gaps closed per quarter, weighted by revenue attached.
• Shorter time from commercial signal to roadmap decision, with one ranked list.
• Sales and AM teams working from consistent, current messaging on every priority product.

• Buy side experience at a leading hedge fund or asset manager, ideally in a market intelligence or alternative data function, evaluating datasets the way our clients do.
• Strong quantitative background, with working Python and SQL. You go to the data yourself.
• Experience sizing markets and making prioritisation calls with capital or revenue at stake, for example in an investing or strategy seat.
• Experience leading a data function or workstream, and able to translate between technical and commercial teams.
• Clear communicator who can turn analysis into a short recommendation and defend it with leadership and with the sales team.