Director, Revenue Analytics & AI Innovation
Core
Architecting the unified semantic data layer and driving AI transformation strategy for Revenue Operations to improve forecasting, decision-making, and GTM efficiency.
Role type
Director, Revenue Analytics & AI Transformation
Builds
Unified data models, AI-driven use cases, and executive dashboards for the revenue organization.
Domain
Healthtech / Mental Health / Revenue Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Data engineering, analytics engineering, semantic modeling, AI strategy, team leadership, SQL, dbt, modern data warehousing, ETL/ELT pipelines, AI vendor evaluation
Preferred skills
B2B2C customer experience, high-growth SaaS/healthtech environment, LLM-based agents, automation platforms, Salesforce, Snowflake, BigQuery, Looker, Tableau, Python
Technologies
SQL, dbt, Snowflake, BigQuery, Salesforce, Looker, Tableau, Python, LLM-based agents
Responsibilities
Architect and own the unified semantic and data layer connecting Sales, Marketing, Customer Success, and Finance data; Define and drive the AI transformation strategy for Revenue Operations; Build and lead a small, highly technical team of data/analytics engineers; Design and maintain core data models, pipelines, and analytics products; Partner with Systems and Strategy & Operations teams to align data architecture and tooling; Evaluate, pilot, and deploy AI tools and vendors; Establish data governance, quality standards, and documentation practices; Build executive-ready dashboards and analyses.
Seniority
Director, hands-on IC leading a small technical team
