Director, Business Intelligence & Analytics (BIA)

Join Turnitin, a recognized innovator in global education for over 25 years. We partner with educators and institutions worldwide to develop learning integrity solutions. Our services are used by over 16,000 academic institutions, publishers, and corporations in more than 185 countries.

Experience a remote-first culture that empowers you to work with purpose and accountability. Our diverse community is unified by a shared desire to make a difference in education.

About the Role:

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. You will establish the foundation of our business: rigorous KPIs, unambiguous metric definitions, sound data models, and a single source of truth.

You will own the operational backbone of Revenue Operations analytics—the metrics, definitions, governance, and reporting that leadership uses to run the business. You will gather requirements, reconcile conflicting numbers, close data gaps, and transform fuzzy questions into precise, durable measures.

We are migrating from a legacy Redshift/Alteryx/Tableau stack to a modern, code-driven ecosystem built on Redshift, dbt, Dagster, and Airbyte, paired with a next-generation, version-controlled BI layer. The goal is to treat analytics like a well-engineered software product—tested, documented, version-controlled, and built to scale.

This modernization unlocks the next chapter: an AI-augmented function where a strong operational core is amplified by emerging tooling. We believe analytics teams will increasingly work from an AI coding cockpit—agentic developer tools like Claude Code and GitHub—to build, review, and ship pipelines, models, and dashboards. On top of well-defined metrics, this enables conversational analytics, AI-generated narratives, and agents that surface and act on insight.

As the subject matter expert, you will partner closely with field and operational teams, instituting leading practices that pair analytics-engineering discipline (Git, CI/CD, testing, semantic layers) with self-service access. You will lead a team of Business Intelligence & Analytics Analysts, Analytics/Data Engineers, and Data Quality Specialists.

This is a full-stack, player-coach role. You’ll lead a team but also be hands-on: refactoring a dbt model with Claude Code, debugging a Dagster pipeline, or building a board-ready presentation.

Key Responsibilities:

Operational Excellence & Metric Definition (The Foundation):

• Own and maintain a comprehensive, well-governed set of business KPIs and metric definitions (e.g., ARR, ACV, GRR, NRR, churn, bookings, pipeline, win rate, quota attainment, forecast accuracy).
• Define calculation logic explicitly, documenting it consistently across all uses.
• Establish a "single version of the truth" by reconciling conflicting numbers and ensuring traceability to clean sources.
• Gather requirements, identify and close data gaps, and translate business questions into precise measures.
• Design and document the analytics/data model for key personas (sellers, sales management, executives, operations).
• Audit and ensure data cleanliness, completeness, and reliability through automated testing and validation.
• Partner with Business Planning & Operations to co-develop and improve reporting and analysis.
• Build automated, repeatable reporting solutions.

Strategic Leadership:

• Develop and execute a BI strategy aligned with company objectives, anchored in operational rigor and trusted metrics.
• Establish architecture, standards, and governance for data trustworthiness.
• Shape the long-term vision for the analytics function and the roadmap to a modern, code-driven, AI-augmented operating model.
• Provide thought leadership and drive innovation across the enterprise analytics portfolio.

Modern Data Platform & BI-as-Code (How We Deliver):

• Lead the migration from the legacy stack to a modern ecosystem: dbt, Dagster, Airbyte, Redshift, and a code-first BI/semantic layer.
• Treat BI as a software product: version control everything in Git, with code review, testing, CI/CD, and documentation.
• Stand up and govern a code-driven semantic layer, 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.

AI & Agentic Analytics (The Amplifier):

• Champion the adoption of agentic coding tools (e.g., Claude Code, Codex) for pipeline development, model building, dashboarding, and analysis.
• Build conversational analytics experiences for natural language querying.
• Implement AI-generated narratives to explain "what happened and why."
• Pilot and operationalize AI agents that surface insight and take action.
• Stay ahead of LLM and agent tooling trends, translating them into practical productivity gains.

Collaboration and Communication:

• Partner with business users and stakeholders to translate needs into analytics initiatives.
• Communicate effectively across technical and non-technical audiences and geographies.
• Present complex analyses and insights clearly and actionably.

Team Development:

• Lead as a player-coach: set direction, mentor the team, and stay hands-on.
• Build, mentor, and manage a high-performing team.
• Upskill the team in analytics engineering practices and AI-assisted development.
• Foster a culture of innovation, continuous improvement, and data-driven decision-making.

Qualifications:

Basic Qualifications:

• Experience:
• 10+ years in business intelligence, data analytics, analytics engineering, or related fields, with 5+ years in a leadership role.
• 7+ years across business/revenue operations, business analytics, consulting, and/or IT.
• Proven track record defining KPIs and metric frameworks, establishing a trusted single source of truth.
• Deep fluency in SaaS recurring-revenue metrics (ARR, ACV, GRR, NRR, churn, bookings, pipeline, etc.) and the judgment to define them rigorously.
• Proven ability to source and integrate data from multiple systems, reconcile conflicting numbers.
• Practical end-to-end experience across requirements, design, development, testing, and deployment of analytics solutions.
• Strong SQL skills, working Python proficiency for data work and automation.
• Experience with BI and visualization tools (e.g., Tableau today, code-first BI tools) and CRM data (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 (dbt, Dagster or similar, Airbyte or similar) on a cloud warehouse (e.g., 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 engineering and analytics work.
• Skills:
• Systems thinker; able to see connections between metrics, data sources, processes, and teams.
• Strong analytical skills; able to evaluate information, reconcile conflicts, decompose requests, and abstract understanding.
• Demonstrated business acumen and ability to apply technology to solve business problems.
• Self-starter who operates independently with a track record of success.
• Ability to lead teams across functions and geographies on ambiguous, complex problems.
• Full-stack player-coach: hands-on enough to build the pipeline, polished enough to present to the C-suite.
• Strong written and verbal communication skills, with a track record of presenting to senior management.
• Ability to manage multiple competing priorities and drive projects to completion.
• Sound business judgment, proven ability to influence, and a bias for ownership.
• Education:
• Bachelor’s degree in Business, Data Science, Computer Science, or related field. Master’s degree or MBA preferred.

Preferred Qualifications:

• Experience supporting education and/or nonprofit institutions.
• Management or Financial Consulting background.
• Experience building conversational analytics, AI-generated narratives, or semantic/metrics layers.
• Experience deploying AI agents that build pipelines, dashboards, or analyses, or that act on insights.
• Familiarity with data quality and observability tooling, and governance-as-code.
• Advanced degrees, certifications, or coursework in BI, analytics, data science, or AI/ML.

Additional Information:

• Expected annual base salary range: $130,350/year to $217,250/year. This position is bonus eligible.
• Actual compensation determined by work location, experience, skills, and other relevant factors.
• Total Rewards @ Turnitin: Beyond compensation, enjoy intrinsic rewards, a positive culture, generous time off, and health and wellness programs.