Director, Data and Analytics

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at

Later seeks a dynamic Director of Data Analytics to oversee our Insights & Analytics team. This leadership role involves guiding a diverse, cross‑functional group of embedded analysts who support Marketing, Sales, Client Services, Creator Success, Rev Ops, and Product departments. You’ll own the analytics roadmap, our BI layer, and how the company uses data to make decisions. It is a player‑coach role: you’ll set the strategic vision and grow the team while staying hands‑on delivering high‑impact analyses alongside your reports.

The time split is roughly equal across three dimensions: strategic leadership, individual contribution, and people management.

Own the Analytics Roadmap

• Define quarterly and annual analytics priorities, aligning to company OKRs across Later Social, Later Influence, and Mavely
• Balance strategic builds (predictive models, campaign forecasting, self‑serve dashboards) with operational support and ad‑hoc stakeholder requests
• Drive the shift from reactive reporting to proactive, insight‑driven analytics that directly influences business outcomes

Own the BI Layer

• End‑to‑end ownership of the business intelligence layer, including dashboard strategy, semantic modeling, and data governance
• Lead BI platform consolidation and modernization, expanding self‑serve analytics capabilities across the organization
• Build enterprise data products: forecast calculators, benchmarking tools, client‑facing dashboards, and operational reports
• Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric standardization

Partner Cross‑Functionally

• Serve as the primary analytics partner to senior stakeholders across the business:
  • Marketing: demand generation, paid media, ABM, attribution, and marketing ROI
  • Sales: pipeline analytics, revenue forecasting, and CRM reporting
  • Client Services: campaign performance, client health, utilization, and enterprise account analytics
  • Creator Success: creator scoring, GMV attribution, account management dashboards, and creator‑facing reports
  • Rev Ops & Finance: MRR/ARR modeling, churn analysis, pricing analytics, and operational reporting
  • Product & Engineering: product analytics strategy, data infrastructure, and feature adoption
• Translate complex data insights into clear, actionable recommendations for executive audiences
• Manage a structured service desk intake process for analytics requests with business priority scoring

Lead the Team

• Manage and grow a cross‑functional team of analysts across marketing analytics, client/creator analytics, commerce analytics, data science, and BI engineering
• Operate as a player‑coach: set direction and remove blockers while personally contributing to high‑impact analyses and data products
• Run sprint planning, resource allocation, and capacity planning across concurrent work streams
• Build career development frameworks and onboarding programs for new analysts
• Own the hiring roadmap to scale the team in line with business growth

• 8+ years of progressive experience in data analytics, business intelligence, or a related quantitative field
• 3+ years managing analytics teams,…