Head of GTM Analytics

Why You’ll Love This Job
As the Head of GTM Analytics, you will be the analytical intelligence behind Apptegy's go-to-market strategy. This is not a reporting role — it is a strategic one. You will define and establish the GTM Analytics function at Apptegy, owning the insights, models, and analytical frameworks that help our Sales, Marketing, and Client Success teams understand what's working, what isn't, and where to move next. You will start as a hands-on practitioner and build a team around you over time.

The best GTM analytics functions don't report on the business — they shape it. They surface insights before anyone needs to ask. They serve as the early warning system and the strategic compass. They make the business smarter just by being in the room. And increasingly, they define how AI makes all of that faster, sharper, and more ambitious in scope. That is the standard we are hiring to, and the opportunity in front of you. Reporting directly to the VP of Revenue Operations, you will work at the intersection of data, AI, and GTM strategy — translating analytical findings into clear recommendations that influence how we go to market, how we allocate resources, and how we grow.

What You’ll Do

• Lead diagnostic analytics across the full GTM funnel — segmentation, ICP refinement, pipeline conversion, win/loss, and cohort analysis — proactively surfacing trends, risks, and inflection points before they become problems, and always bringing a point of view on what to do next.
• Own the analytical inputs to executive reporting — the data, diagnostics, and narratives that power ELT reviews, QBRs, and Board reporting — ensuring leadership always has a clear, accurate picture of GTM performance and risk.
• Define the vision and roadmap for how AI augments and accelerates the GTM Analytics function — from applying LLMs to unstructured data sources, to building AI-assisted analytical workflows that expand what's analytically possible, not just what's faster.
• Build and maintain a suite of predictive models and data products — including propensity to buy, churn risk, expansion likelihood, forecast accuracy, and account and territory scoring — that help GTM teams prioritize and act with confidence.
• Partner with Sales, Marketing, and Client Success leadership to develop analytical frameworks that inform territory design, quota setting, headcount allocation, and GTM strategy.
• Design and oversee GTM experimentation — test design and measurement frameworks for sales motions, campaigns, and retention initiatives — to drive evidence-based decision-making across the revenue org.
• Design and maintain a core reporting suite in Tableau covering executive, operational, and self-service analytics that give every level of the business a trusted, single view of GTM performance.
• Own and evolve the core GTM metrics framework — defining what we measure, ensuring consistent definitions, and governing change over time — and act as the primary analytical requirements owner for the Data team, translating GTM business needs into clear data requests and partnering on prioritization and governance.
• Define the vision and operating model for the GTM Analytics function, including hiring, developing, and leading a team of analysts as the business scales.

What You’ll Do

• Lead diagnostic analytics across the full GTM funnel — segmentation, ICP refinement, pipeline conversion, win/loss, and cohort analysis — proactively surfacing trends, risks, and inflection points before they become problems, and always bringing a point of view on what to do next.
• Own the analytical inputs to executive reporting — the data, diagnostics, and narratives that power ELT reviews, QBRs, and Board reporting — ensuring leadership always has a clear, accurate picture of GTM performance and risk.
• Define the vision and roadmap for how AI augments and accelerates the GTM Analytics function — from applying LLMs to unstructured data sources, to building AI-assisted analytical workflows that expand what's analytically possible, not just what's faster.
• Build and maintain a suite of predictive models and data products — including propensity to buy, churn risk, expansion likelihood, forecast accuracy, and account and territory scoring — that help GTM teams prioritize and act with confidence.
• Partner with Sales, Marketing, and Client Success leadership to develop analytical frameworks that inform territory design, quota setting, headcount allocation, and GTM strategy.
• Design and oversee GTM experimentation — test design and measurement frameworks for sales motions, campaigns, and retention initiatives — to drive evidence-based decision-making across the revenue org.
• Design and maintain a core reporting suite in Tableau covering executive, operational, and self-service analytics that give every level of the business a trusted, single view of GTM performance.
• Own and evolve the core GTM metrics framework — defining what we measure, ensuring consistent definitions, and governing change over time — and act as the primary analytical requirements owner for the Data team, translating GTM business needs into clear data requests and partnering on prioritization and governance.
• Define the vision and operating model for the GTM Analytics function, including hiring, developing, and leading a team of analysts as the business scales.