Business Intelligence Engineering Manager

Talkiatry is a national mental health practice focused on transforming psychiatry with accessible care. They are seeking a strategic, hands-on Business Intelligence Engineering Manager to lead their BI Engineering team, guiding the technical direction and delivery of BI and analytics systems to support informed decision-making.

Responsibilities:

• Lead and mentor a team of 5 BI professionals, fostering a culture of ownership, strategic thinking, and continuous improvement
• Build, evolve, and maintain our analytics engineering standards and products including our data model repository and self-service analytics infrastructure to maximize usability and data trust
• Ensure BI systems follow engineering best practices, including SDLC, version control, CI/CD, and production readiness, and serve as an escalation point for data correctness or reliability issues
• Partner cross-functionally with Engineering, Product, Operations, Marketing, and Finance to understand business needs and deliver scalable BI solutions
• Drive adoption of data tools and insights by championing user enablement and intuitive data experiences
• Provide hands-on guidance and technical oversight for complex analytical challenges, ensuring data product accuracy, efficiency, and performance
• Translate complex data and technical concepts into clear, actionable narratives to inform leadership decision-making
• Guide your team in prioritizing and sizing analytical work for speed and impact, ensuring rigorous scoping of all BI initiatives
• Promote data governance and best practices to ensure data quality, compliance, and integrity across all outputs

Requirements:

• 6+ years of experience in Business Intelligence, Analytics Engineering, or a related field, including 3+ years of experience managing BI teams
• Proven success delivering scalable BI solutions and managing large, complex analytics projects end-to-end
• Hands-on experience building and maintaining analytics codebases using modern engineering practices (e.g., dbt, version control, CI/CD)
• Deep technical expertise with BI tools (e.g., Looker, Tableau, Power BI), cloud data warehouses (e.g., Snowflake, Redshift), and transformation and orchestration tools (e.g., DBT, Airflow)
• Fluency in SQL and data modeling best practices
• Experience analyzing A/B tests and partnering with product teams to define and measure success
• Demonstrated ability to turn ambiguous business questions into structured analysis, technical designs, and strategic recommendations
• A proactive, systems-thinking mindset with the ability to identify leverage points across business, product, and operations
• Strong collaboration and communication skills, with the ability to influence stakeholders across technical and non-technical teams