Director, Business Intelligence & Analytics; BIA - Remote

Director, Business Intelligence & Analytics (BIA)

We are seeking a Director, Business Intelligence & Analytics (BIA) to report to the Vice President of Revenue Operations. This is a builder’s role for a leader who thinks in systems, treats analytics like a product, and is excited to operate at the frontier of AI‑augmented decision‑making. The successful candidate establishes a rigorous set of KPIs, unambiguous metric definitions, sound data models, and a single version of the truth that executives and sellers alike can rely on.

• Own and maintain a comprehensive, well‑governed set of business KPIs and their precise metric definitions, including core recurring‑revenue metrics such as ARR, ACV, GRR, NRR, churn, bookings, pipeline, win rate, quota attainment, and forecast accuracy.
• Define calculations for metrics with nuance (e.g., contraction vs. NRR, churn vs. downgrade, ACV vs. TCV, new vs. expansion vs. renewal).
• Establish a “single version of the truth” by reconciling conflicting numbers and ensuring every figure traces back to a clean, documented source.
• Gather requirements across teams, identify and close data gaps, and turn fuzzy questions into durable, precise measures.
• Design and document analytics/data models for key personas across Turnitin—sellers, sales management, executives, and operations staff.
• Audit and ensure the cleanliness, completeness, and reliability of data through automated testing and validation.
• Partner with the Business Planning & Operations group to co‑develop and continuously improve reporting and analysis, including preparation for Quarterly Business Reviews.
• Build automated, repeatable reporting solutions rather than one‑off manual reports.

• Develop and execute a BI strategy aligned with company objectives, anchored in operational rigor and trusted metrics, and built to scale with business growth.
• Establish the architecture, standards, and governance that keep data trustworthy as the function and the business scale.
• Shape the long‑term vision for the analytics function and the roadmap that takes the team from today’s stack to a modern, code‑driven, and ultimately AI‑augmented operating model.
• Provide thought leadership and drive innovation across the enterprise analytics portfolio.

• Lead the migration from the legacy stack (Redshift, Alteryx, Tableau) to a modern ecosystem: dbt for transformation and modeling, Dagster for orchestration, Airbyte for ingestion, Redshift as the warehouse, and a modern code‑first BI/semantic layer.
• Treat BI as a software product—version control everything in Git, with code review, testing, CI/CD, and documentation as the default way of working.
• Stand up and govern a code‑driven semantic layer that turns metric definitions into reusable, testable, single‑source assets, replacing brittle GUI‑built reporting.
• Drive data quality, governance, security, and access controls as code, with automated validation and monitoring.
• Develop intuitive self‑service dashboards that support global requirements.

• Champion the adoption of agentic coding tools (e.g., Claude Code, Codex) across the team for pipeline development, model building, dashboarding, and analysis.
• Build conversational analytics experiences that let stakeholders query data in natural language and receive trustworthy, governed answers—only on top of well‑defined metrics.
• Implement AI‑generated narratives that automatically explain “what happened and why” on top of dashboards and KPIs.
• Pilot and operationalize AI agents that surface insight and take action—drafting analyses, opening pull requests, flagging anomalies, and proposing next steps.
• Stay ahead of the rapidly evolving LLM and agent tooling landscape and translate it into practical productivity gains for Revenue Operations.

• Work closely with business users, stakeholders, and the broader Go‑To‑Market and Revenue Operations teams to translate business needs into analytics initiatives.
• Communicate…