Director, Business Intelligence & Analytics (BIA) - USA Remote
$130,350–$217,250 year
Remote · United States
Job Summary
Director, Business Intelligence & Analytics (BIA) to lead a full-stack analytics function at Turnitin, owning KPI definitions, data governance, and a trusted single source of truth while driving a code-first modernization (dbt, Dagster, Airbyte, Redshift) and AI-augmented analytics. Build and maintain a scalable analytics backbone, convert fuzzy questions into durable metrics, deliver automated reporting, and partner with Revenue Operations to align analytics with business strategy. Lead a team of BI analysts, analytics/data engineers, and data quality specialists, while staying hands-on in data engineering tasks and translating insights into board-ready narratives for executive audiences.
Required Qualifications
- Minimum of 10 years in business intelligence, data analytics, analytics engineering, or related fields, with at least 5 years in a leadership role
- 7+ years across business/revenue operations, business analytics, consulting, and/or information technology
- Demonstrated track record defining KPIs and metric frameworks, and establishing a trusted single source of truth across an organization
- Deep fluency in SaaS recurring-revenue metrics — ARR, ACV, GRR, NRR, churn/contraction, bookings, pipeline, win rate, quota attainment, and forecast accuracy
- Proven ability to source and integrate data from multiple systems into a single, trusted view, and to reconcile conflicting numbers
- Practical end-to-end experience across requirements, design, development, testing, and deployment of analytics solutions at varying scale
- Strong SQL skills, plus working proficiency in Python for data work and automation
- Experience with BI and visualization tools (e.g., Tableau today, with a clear point of view on code-first BI tools) and with CRM data for revenue reporting and forecasting (e.g., Salesforce)
- Proven track record implementing and managing self-service BI solutions
- Experience analyzing complex data relationships and exploring 'what-if' scenarios
- Hands-on experience with a modern, code-driven data stack — including transformation (dbt), orchestration (Dagster or similar), and ingestion/ELT (Airbyte or similar) — on a cloud warehouse such as Redshift
- Comfort working in a version-controlled, code-first environment (Git/GitHub), including code review and CI/CD for analytics
- Demonstrated, hands-on use of LLMs and agentic coding tools (e.g., Claude Code, Codex) for real engineering and analytics work — not just chat-based prompting
Desired Qualifications
- Bachelor's degree in Business, Data Science, Computer Science, or a related field
- Master's degree or MBA preferred
- Experience leading BI/Analytics teams
- Experience deploying AI-assisted analytics and agentic tooling
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.