Director, Business Intelligence & Analytics (BIA) - USA Remote
$130,350–$217,250 year
Remote · Washington, District of Columbia, United States
Job Summary
Director, BI & Analytics (BIA) – Remote USA role leading a full-stack analytics function for Revenue Operations. Own and define a rigorous KPI set and single source of truth, govern data definitions, and drive AI-augmented analytics at scale. Lead a team of BI Analysts, Analytics/Data Engineers, and Data Quality Specialists; modernize from Redshift/Alteryx/Tableau to a code-driven stack (Redshift, dbt, Dagster, Airbyte) with a governance-first, software-like approach to BI; champion agentic analytics and AI-assisted development; collaborate cross-functionally to deliver self-service dashboards and trusted insights for executives and field teams. Responsibilities emphasize metric definition, data governance, requirements gathering, data quality, and scalable reporting; required qualifications emphasize extensive BI leadership, KPI discipline, data integration, and hands-on experience with modern data stacks and AI tools. Education: Bachelor's degree required; Master's preferred.
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 — including the judgment to define them rigorously and defend the calculation logic.
- 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.
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