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Talkiatry is seeking a strategic, hands-on Business Intelligence Engineering Manager to lead our growing BI Engineering team. This leader plays a critical role in advancing Talkiatry’s data strategy by guiding the technical direction and delivery of our BI and analytics systems, with a focus on scalable, reliable self-service analytics that support informed decision-making and follow modern analytics engineering best practices. You will manage a team of five BI professionals and partner closely with Engineering, Product, Operations, Marketing, and Finance to ensure data is accessible, actionable, and aligned with our mission of transforming mental health care.
Job Responsibility:
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
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