Grafanalabs
Marketing Analytics Director | United States | Remote
United States (Remote). Posted 4 months ago
The role
You will lead the evolution of the marketing data stack and raise analytical rigor across the marketing organization. You will build data-driven growth engines, predictive models, and AI-driven systems using Google BigQuery and agentic AI.
What you will do
- Serve as the primary strategic partner to the GTM Leadership team.
- Architect and own a forecasting framework for top-of-funnel and high-intent lead quality.
- Develop and maintain machine learning models for Attribution, MMM, and LTV.
- Oversee the structure of marketing data within Google BigQuery.
- Perform causal inference and predictive trend analysis.
- Transform technical data outputs into narratives for the executive team and board.
- Deploy LLM-powered agents to monitor BigQuery datasets.
- Implement orchestration patterns to build self-healing data pipelines.
- Build and deploy AI-driven scoring models.
- Build target-setting frameworks from scratch.
Required qualifications
- 8+ years in Marketing Analytics, GTM Strategy, or Data Science.
- At least 2 years in a lead architect capacity within a high-growth SaaS or PLG environment.
- Demonstrated history as a force multiplier through building tooling, rituals, or frameworks.
- Mastery of SQL and Python.
- Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
- Hands-on AI fluency as a builder, including building and shipping agentic systems with Claude Code, MCP, or comparable tools.
- Experience building evaluator agents, prompt-grading systems, or analytical quality tooling in production.
- Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
- Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau).
- Ability to create structure in highly ambiguous environments.
- Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
- Executive presence with experience presenting to executive and board audiences.
Nice to have
- Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics).
- MBA or MS in Data Science is a significant plus.
Benefits
- 100% Remote, Global Culture
- Restricted Stock Units (RSUs)
- In-Person onboarding
- 30 days annual leave per annum, including 3 days for Grafana Shutdown Days
About the company
Grafana Labs is the company behind Grafana Cloud, a fully managed observability platform. It is a 100% remote company with team members across 40+ countries.