Director, Business Intelligence & AI to join our Business Applications organization. This is a senior individual contributor role with a director title and light team leadership (5 people), sitting at the intersection of data strategy, architecture, and execution. You'll own the data foundation that powers our company's most critical business decisions - from GTM and revenue analytics to operational intelligence across the organization.
You'll report to the VP of Business Applications and work closely with stakeholders across Finance, Sales, Marketing, Customer Support, Product, R&D, and HR to ensure our data assets are trustworthy, scalable, and increasingly AI-ready
What will you do?
Architecting the data foundation that makes it possible for business users to ask questions in plain English and get trusted, real-time answers.
Define and execute a strategy to migrate from traditional BI (dashboards, scheduled reports) toward AI-powered, natural language interfaces for business intelligence
Architect the data layer that enables LLM-based querying - including semantic layers, vector stores, knowledge graphs, and metadata enrichment - so that AI agents can reliably reason over company data
Design and own a scalable, AI-ready data architecture - warehouse/lakehouse structure, semantic layer, and data contracts - that supports both analytical and AI/ML workloads
Build robust data modeling foundations (clean entities, clear metrics definitions, consistent taxonomies) that LLMs can reason over accurately
Serve as a trusted advisor to business leaders across GTM, Customer Success, Finance, and Product - proactively engaging them to understand their decision-making needs
Translate ambiguous business questions ("why is churn spiking in the mid-market?") into well-defined data problems, and then into scalable, AI-powered solutions
Build strong relationships with stakeholders at all levels - from individual analysts to VP and C-suite - and maintain a prioritized roadmap that reflects real business value
Requirements: 6+ years in data engineering, data architecture, or BI, with strong hands-on technical depth
Proven experience or deep knowledge of architectures that power natural language querying over structured business data - including semantic layers, LLM-to-SQL patterns, and AI/BI platforms
Solid data modeling foundations - dimensional modeling, data contracts, metrics layers - and an understanding of how these underpin reliable AI outputs
Experience with modern data stack: Snowflake, dbt, ETL/ELT tooling
Experience with automation and integration platforms (WORKATO, e.g.)
Genuine excitement about the shift from traditional BI to conversational, agentic intelligence - and the technical judgment to do it right
Strong business acumen - able to understand GTM, CS, and Support workflows deeply enough to proactively identify where data and AI can create leverage
Proven track record of building trusted partnerships with business stakeholders, influencing roadmaps, and driving adoption of data solutions.
Genuine curiosity about how businesses operate, and the ability to ask the right questions before jumping to solutions.
Strong communicator who can bridge technical architecture decisions with business use cases for non-technical stakeholders.
This position is open to all candidates.