Director, Analytics Engineering & BI Platform (Remote Eligible)

Description

The Business Intelligence team exists to unlock the power of data — providing trusted access, actionable insights, and the platforms that power data-driven decisions across the company. We are looking for a seasoned analytics engineering leader to drive the next chapter of our data platform, governance, and intelligence capabilities.

The ideal candidate combines deep technical expertise in modern analytics engineering with a strong command of financial and revenue analytics, and a passion for data quality and governance. This role sits at the intersection of analytics engineering, finance data ownership, and platform strategy — partnering closely with Finance, RevOps, Product, and Engineering to ensure our data assets are trusted, discoverable, and AI-ready.

You Will:

• Lead analytics engineering strategy and execution, owning the design and evolution of core data models using modern practices — Data Vault, dimensional modeling, dbt on Snowflake — with a clear roadmap toward a Databricks lakehouse architecture.
• Own the company-wide semantic layer and metrics store, ensuring Bookings, ARR, NDRR, and other critical business metrics have a single, version-controlled, trusted definition consumable by every downstream tool and AI agent.
• Drive Finance Analytics, including ownership of Bookings, ARR, NDRR, segment and territory reporting, and month-end close pipelines, partnering closely with Finance and Revenue Operations.
• Set the standard for data governance and data quality, including discoverability, lineage, access controls, and data contracts between upstream producers and downstream consumers — leveraging Atlan, Unity Catalog, and Monte Carlo.
• Own data egress and reverse-ETL strategy, governing pipelines from the data warehouse to downstream platforms including Salesforce, Marketo, Gainsight, Outreach, Thoughtspot, Tableau, and Amplitude.
• Shape our AI data strategy, ensuring data assets are structured, documented, and governed to serve as reliable foundations for AI agents, LLM-based analytics, and intelligent product features — while driving data-as-a-product principles and platform cost discipline.
• Lead cross-functional strategic programs including Quote-to-Cash modernization, unified customer data modeling, and the Snowflake-to-Databricks migration, acting as a key decision-maker across multi-quarter initiatives.
• Develop cross-team relationships across functional leadership and BI partners to ensure we are meeting existing analytics needs and are well-positioned to meet the needs of the future.
• Build, develop, and lead a high-performing team, managing vendor and partner relationships, and evolving team capabilities to meet the demands of a rapidly maturing data platform.

You Have:

• 10+ years in analytics engineering, data engineering, or a closely related technical discipline, with 5+ years of people management and a track record of developing high-performing teams.