# Director, Business Intelligence

**Company:** [Metropolis](https://hotfix.jobs/companies/metropolis)
**Location:** Seattle, WA, Los Angeles, CA
**Role:** Data Analytics
**Salary:** $190k – $260k/yr
**Experience:** 10+ years
**Skills:** Data Engineering, Business Intelligence, Data Science, Snowflake, dbt, Airflow, Spark, Looker, Tableau, AWS, GCP, Python, R, AI/ML, predictive modeling
**Posted:** 2026-07-22

> Lead the Finance Business Intelligence function at Metropolis by setting strategy, building and managing a multi-disciplinary data team of BIEs, data scientists and analysts, and evolving analytics into predictive modeling, AI anomaly detection, forecasting and governance. Requires 10+ years experience including 4+ years building data organizations, executive presence, and deep expertise in modern finance data stack.

## Job Description

## 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.

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