Director, Business Intelligence

What you'll do

• 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

What we're looking for

• 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

Nice-to-haves

• BS/BA degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; advanced degree (MBA, MS, or PhD) in a quantitative discipline
• Experience with ERP/EPM and FP&A planning tools (Oracle, NetSuite, 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; experience designing experimentation and measurement frameworks — defining how a team validates its models, tests financial assumptions, and measures forecast accuracy
• Background in multi-vertical or multi-entity Finance environments (parking, aviation, retail, or similar operational businesses)
• Track record of building AI/ML-augmented finance analytics — anomaly detection, intelligent forecasting, automated variance analysis

Compensation

The anticipated base salary for this position is $190,000.00 USD to $260,000.00 USD annually. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.