AI-Driven Marketing Analytics Leader

The Wrap; United States; Hybrid; USD 145,000 - 188,000; Full time

Job summary

Greenhouse is seeking a Principal Marketing Analytics Manager to own the analytics strategy, reporting architecture, and performance insights for the entire marketing organization. This high-visibility role serves as the strategic engine behind our growth.

You will translate complex data into compelling narratives, lead executive reviews and QBR preparation, and partner with Demand Gen, Content, Brand, Revenue Analytics, Data Engineering, and Finance to enable fast, data-driven decision making

Qualifications

• 8+ years of experience in B2B Marketing Analytics or Revenue Operations.
• Expert SQL and Snowflake skills; comfortable transforming data without hand-holding.
• Executive presence; proven experience prepping and presenting to C-Suite/VP-level stakeholders.
• Bias for action; track record of driving projects to completion.
• AI tools (Cursor, LLMs, agents) to automate workflow and scale impact.

Responsibilities

• Build & Automate: Own the Single Source of Truth and central dashboards in Snowflake and Tableau.
• Analyze & Synthesize: Audit marketing spend and attribution models to uncover opportunities.
• Executive Storytelling: Lead Marketing Operating Reviews and QBRs for ELT.
• Enable the Team: Define 3–5 KPIs per function and build self-service intelligence bots.
• Cross-Functional Catalyst: Partner with Revenue Analytics, Data Engineering, and Finance to standardize marketing data.

Skills

Executive presence

Bias for action

AI power user

Data storytelling

Cross-functional collaboration

Narrative data translation

Tools

SQL

Snowflake

Tableau

Job description

Greenhouse is seeking a Principal Marketing Analytics Manager to own the analytics strategy, reporting architecture, and performance insights for the entire marketing organization. This high-visibility role serves as the strategic engine behind our growth.

You will translate complex data into compelling narratives, lead executive reviews and QBR preparation, and partner with Demand Gen, Content, Brand, Revenue Analytics, Data Engineering, and Finance to enable fast, data-driven decision making