Director, Business Intelligence

About the role

The Director, Business Intelligence – Finance at Metropolis is responsible for owning the vision, strategy, and execution of the finance data environment. This includes setting a multi-year roadmap for finance data, hiring and developing a high-performing data team, evolving finance analytics, and driving data governance.

Responsibilities

• 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

Requirements

• 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
• Proven ability to build AI/ML-augmented finance analytics including anomaly detection, intelligent forecasting, and automated variance analysis

Qualifications

• 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)
• Familiarity with scripting and statistical tools beyond SQL — Python, R, or SAS — and comfort evaluating data science work product from senior ICs
• Experience with core Finance processes (AP, AR, GL, revenue recognition, close cycles, FP&A)
• Experience designing experimentation and measurement frameworks — defining how a team validates its models, tests financial assumptions, and measures forecast accuracy
• Experience in multi-vertical or multi-entity Finance environments (parking, aviation, retail, or similar operational businesses)
• Experience building AI/ML-augmented finance analytics — anomaly detection, intelligent forecasting, automated variance analysis

Benefits

• Base salary range: $190,000.00 USD to $260,000.00 USD annually
• 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

Pay

The anticipated base salary for this position is $190,000.00 USD to $260,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

Schedule

Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.