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Metropolis Technologies is seeking a Director of Business Intelligence to lead the vision, strategy, and execution of the company's Business Intelligence function, with a focus on Finance. You will own the multi-year strategy to build, govern, and scale the finance data environment from pipeline architecture to self-serve analytics and board-level reporting.
Key responsibilities include hiring and developing the function's first Business Intelligence Engineers, data scientists, and analysts to build a high-performing, multi-disciplinary team. You will evolve Finance analytics from traditional reporting to advanced intelligence by developing predictive modeling, AI-powered anomaly detection, driver-based forecasting, and scenario simulation capabilities.
You will serve as the executive-level data partner to the Finance organization, translating strategic priorities into data infrastructure investments. You'll design and govern the intake, prioritization, and delivery framework for all Finance data work, operating as a high-velocity, trusted product team. Additionally, you will drive company-wide Finance data governance by establishing policies, standards, and ownership models that make metrics authoritative, discoverable, and auditable.
You will evaluate and select tools, platforms, and integrations for the Finance data stack in partnership with the CTO and Data Platform team. The role requires 10+ years in Data Engineering, Business Intelligence, Data Science, or Financial Technology, including 4+ years leading data teams and building organizations from the ground up. You should have a track record of building and scaling a multi-disciplinary data function at a high-growth technology or operations-intensive company.
Required qualifications include executive presence with fluent data storytelling skills, technical foundation in the modern Finance data stack (Snowflake, dbt, Airflow, Spark, Looker/Tableau) and cloud platforms (AWS or GCP), alongside statistical modeling and predictive analytics fluency. You need analytical depth in model validation, forecasting accuracy, statistical significance, and hypothesis-driven analysis, plus proven ability to drive lasting data governance and quality programs. Experience building AI/ML-augmented finance analytics is essential.
Metropolis is pioneering the Recognition Economy through artificial intelligence that makes the real world responsive. The company transforms parking into seamless experiences and expands its intelligence layer across retail and hospitality. The role requires 4 days per week in-office to foster innovation and strengthen culture.
