Director, Business Intelligence

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.

The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Metropolis is seeking a Director, Business Intelligence – Finance to own the vision, strategy, and execution of Metropolis’s Business Intelligence function. You are an organizational architect with a track record of building high-performing, multi-disciplinary data teams from scratch — engineers, data scientists, and analysts — and shaping the data culture of the organizations you’ve led. You operate comfortably at the intersection of C-suite Finance strategy and hands-on quantitative analysis — translating the CFO’s most pressing questions into a multi-year roadmap and the team to deliver it.

You are a builder who thrives on complexity across systems, stakeholders, and business cycles, and who never loses sight of what matters most: trustworthy data and intelligence that drives better decisions, faster.

• Own the Finance Business Intelligence strategy by setting the multi-year vision to build, govern, and scale the finance data environment from pipeline architecture to self-serve analytics and board-level reporting
• Hire and develop the function’s first BIEs, data scientists, and analysts, building toward a high-performing, multi-disciplinary team
• Evolve Finance analytics from reporting to intelligence by developing predictive modeling, AI-powered anomaly detection, driver-based forecasting, and scenario simulation
• Serve as the executive-level data partner to the Finance organization, translating strategic priorities into data infrastructure investments
• Design and govern the intake, prioritization, and delivery framework for all Finance data work to operate as a high-velocity, trusted product team
• Drive company-wide Finance data governance by establishing policies, standards, and ownership models that make metrics authoritative, discoverable, and auditable
• Evaluate and select tools, platforms, and integrations for the Finance data stack in partnership with the CTO and Data Platform team

• 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, with a path to managing managers as the team scales
• Track record of building and scaling a multi-disciplinary data function at a high-growth technology or operations-intensive company
• Executive presence with fluent data storytelling skills to connect complex quantitative findings directly to business action
• 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
• Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical significance, and hypothesis-driven analysis
• Proven ability to drive lasting data governance and quality programs across systems and business cycles
• Track record of building AI/ML-augmented finance analytics including anomaly detection, intelligent forecasting, and automated variance analysis

• Experience with ERP/EPM and FP&A planning tools (Oracle, Net Suite, Workday, Anaplan, Adaptive Insights, or Pigment) in a large-scale transformation context; familiarity with scripting and statistical tools beyond SQL — Python, R, or SAS — and comfort evaluating data science work product from senior ICs
• Fluency in core Finance processes (AP, AR, GL, revenue recognition, close cycles, FP&A) and experience translating strategic Finance priorities into multi-year data roadmaps;…