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HarveyHarvey

Head of Marketing Operations & Analytics

Lead marketing operations and analytics at Harvey AI by owning the tech stack, building AI-driven automations, unified analytics/attribution frameworks, lead lifecycle infrastructure, data governance, and cross-functional partnerships to connect marketing to pipeline and revenue in a high-growth SaaS environment. Requires 10+ years in marketing ops/analytics with team leadership experience.

About the job

What You'll Do

  • Own the marketing technology stack — evaluate, implement, and optimize tools across marketing automation, CRM, ad platforms, attribution, lead routing and enrichment, and data visualization to support a modern, AI-first operating model.
  • Lead AI and automation adoption — identify and ship agentic workflows and automation that remove manual work across the funnel; go beyond piloting tools to running them in production.
  • Build unified marketing analytics and reporting — attribution models, pipeline dashboards, and campaign ROI measurement that serve as a single source of truth for marketing, finance, and sales leadership, and translate into clear, actionable insight.
  • Architect lead lifecycle infrastructure — define funnel stages, scoring models, routing logic, and handoff criteria in partnership with revenue operations and sales development.
  • Own marketing data governance and compliance — ensure data quality, consent management, and privacy frameworks are built into every system and workflow.
  • Drive operational excellence — build scalable workflows, automations, experimentation and optimization practices (e.g., A/B testing), and QA processes that ensure data integrity and let the team move fast without sacrificing quality.
  • Own budget and vendor management — manage the marketing operations budget and technology renewals, and evaluate/negotiate vendor contracts in partnership with finance and procurement.
  • Lead and develop the team — lead and develop a high-performing global organization as Harvey scales its marketing investment.
  • Partner cross-functionally — work with GTM systems, product marketing, customer engagement, sales leadership, and finance to align on targets, surface insights, inform investment decisions, and lead change management across a fast-moving organization.

What You Have

  • 10+ years of experience in marketing operations, marketing analytics, or growth operations, including 5+ years managing and developing teams.
  • Deep, hands-on expertise in the modern B2B marketing technology stack across marketing automation, CRM, attribution tools, lead routing/enrichment, automation/orchestration platforms and data visualization tools.
  • Working fluency in SQL and marketing data pipelines, with the ability to query, QA, and troubleshoot data directly.
  • Demonstrated experience applying AI, automation, and agentic workflows to marketing operations. You've shipped production systems, not just piloted tools.
  • Proven track record building marketing analytics and attribution frameworks that connect marketing activity to pipeline and revenue in a sales-led SaaS environment.
  • Experience owning data governance, privacy, and consent frameworks for a marketing organization.
  • Experience managing marketing technology budgets and negotiating vendor contracts.
  • Experience managing and developing teams in high-growth environments, ideally at fast-growing, AI-native companies familiar with modern technology stacks.
  • Strong cross-functional partnership and change-management skills, with demonstrated ability to align marketing, sales, finance, and systems teams around shared goals and data, and to translate complex data into clear insight for executive decision-making.
  • A builder's mindset - you have taken marketing operations infrastructure from early-stage to scaled, and you thrive in environments where you can design systems rather than inherit them.

Compensation

$206,800 - $310,200 USD

Skills

Marketing Operations, Marketing Analytics, SQL, Marketing Automation, CRM, Attribution Tools, Lead Routing, Data Visualization, AI Workflows, Automation Platforms, Data Governance, A/B Testing

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