Metropolis is looking for Director of Business Intelligence (Los Angeles) in Textile Finance, CA.
This local job opportunity with ID 3772984088 is live since 2026-08-03 00:12:03.
Metropolis is seeking a Director, Business Intelligence – Finance to own the vision, strategy, and execution of Metropolis’s Business Intelligence function 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 Benefits We subsidize high-quality health insurance coverage for full-time and hourly employees Equity options - We offer ownership opportunities through stock options Wellness benefits - A wellness program designed to support a variety of needs Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees 401(k) match - Plan for your future with a 4% company match Parental leave - Receive support prior to, during leave, and as you transition back to work Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work Hybrid environment - Magic happens face to face, but we support a flexible working model 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 ledYou 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 itYou 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, fasterTrack record of building AI/ML-augmented finance analytics including anomaly detection, intelligent forecasting, and automated variance analysisProven ability to drive lasting data governance and quality programs across systems and business cyclesTechnical 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 fluency10 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 scalesExecutive presence with fluent data storytelling skills to connect complex quantitative findings directly to business actionTrack record of building and scaling a multi-disciplinary data function at a high-growth technology or operations-intensive companyAnalytical depth and quantitative rigor in model validation, forecasting accuracy, statistical significance, and hypothesis-driven analysisBS/BA degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; advanced degree (MBA, MS, or PhD) in a quantitative disciplineExperience 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 ICsBackground in multi-vertical or multi-entity Finance environments (parking, aviation, retail, or similar operational businesses)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 accuracyTrack record of building AI/ML-augmented finance analytics — anomaly detection, intelligent forecasting, automated variance analysis J-18808-Ljbffr5c143e31-5e48-4549-b638-05792d185386
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