Sr Manager, Business Intelligence

About the Role

Key Responsibilities

• Lead the strategic vision and execution of the Business Intelligence function, aligning BI efforts with company-wide goals and operational KPIs.
• Define and enforce a BI roadmap and intake model, shifting the team from reactive reporting to a proactive, insight-driven function.
• Resolve data fragmentation across systems (Salesforce, ManageXR, xAPI, backend, docs) by defining system-of-record standards and data contracts.
• Create scalable, secure access models that balance visibility with data governance and PII protection. Collaborate with Data Engineering to provide clear, well-scoped requirements and ensure reliable, production-grade pipelines.
• Define standardized reporting requirements and cadences for teams including GTM, Finance, Product, and Operations.
• Partner with cross-functional leaders to ensure dashboards, KPIs, and reports are actionable, trustworthy, and aligned with strategic objectives.
• Cultivate a data-forward culture by championing data literacy, adoption, and responsible use across the company.
• Grow and lead a high-performing team of analysts across three focused workstreams: Product Utilization, Revenue Operations, and Project Analytics.
• Clarify roles, elevate ownership, and drive career development within the BI team.

Requirements

• Minimum of 7 years of experience in Business Intelligence, Analytics, or Data Strategy, with the past 3 years in a leadership role.
• Proven success leading BI teams in cross-functional, high-growth environments.
• Deep familiarity with modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker).
• Strong grasp of data governance, stakeholder communication, and product-led reporting.
• Experience working closely with Data Engineering, Data Scientists, Program Managers, Product Managers, and Revenue Operations Leadership.
• Ability to translate complex data into simple, actionable insights.
• Highly organized, strategic, and capable of balancing high-level planning with tactical execution.
• Proficient in SQL and PostgreSQL for writing complex queries.
• Skilled in BI tools including Looker, Tableau, Power BI, and Mode.

Nice to Have

• Experience working in or supporting Product-led organizations (edtech, SaaS, platform companies).
• Comfortable presenting dashboards, analysis, and recommendations to varied audiences, including executives.
• Familiarity with xAPI, Salesforce, and GTM reporting systems.
• Previous success creating or maturing a BI function from early stages.
• Experienced with machine learning and predictive analytics.

Qualifications

• Not explicitly separated, but implied: educational background or certifications are not specified; formal qualifications are not required beyond experience.

Benefits & Perks

• The base salary range for this position is expected to be between $130,000-140,000, with the actual base salary amount dependent on a number of factors, including but not limited to a candidate's credentials, relevant experience, and primary job location.
• In addition to salary, this role may be eligible for additional company benefits such as stock options, 401(k), paid vacation and sick time, and health benefits.