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Universal Music Group. California, Santa Monica

Job in Santa Monica, Los Angeles County, California, 90403, USA
Listing for: JobMonkey, Inc.
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 84780 - 160000 USD Yearly USD 84780.00 160000.00 YEAR
Job Description & How to Apply Below

Reporting into the central Data & AI organization, this role will serve as the product owner and strategic leader for a custom-built forecasting application used by Finance teams across UMG. The successful candidate will partner closely with Finance leadership, data scientists, engineers, and business stakeholders to transform forecasting from a largely manual process into a scalable, intelligent, and continuously improving product.

Own

the Product Vision and Roadmap
  • Define and execute the long-term product strategy for UMG’s Financial Forecasting & Planning Platform.
  • Develop and maintain a prioritized roadmap that balances business impact, technical feasibility, operational efficiency, and user experience.
  • Partner with Finance leadership to translate forecasting requirements into scalable product capabilities.
  • Establish a clear product vision that evolves from advanced analytics and machine learning toward future AI-enabled planning and decision support capabilities.
Partner Deeply with Finance
  • Embed closely with Finance teams to understand forecasting workflows, planning cycles, assumptions, approval processes, and reporting requirements.
  • Identify opportunities to automate manual processes, improve forecast accuracy, and increase organizational visibility into forecast drivers.
  • Facilitate alignment across global stakeholders on forecasting methodologies, business definitions, and planning processes.
  • Act as the primary bridge between Finance and technical teams.
Lead Cross-Functional Delivery
  • Lead a dedicated product team consisting of machine learning scientists, data engineers, full-stack engineers, and project management resources.
  • Drive product discovery, requirements definition, prioritization, execution, testing, and release planning.
  • Ensure delivery teams remain focused on measurable business outcomes rather than technical outputs alone.
  • Coordinate with enterprise technology, data, and analytics teams to ensure alignment with broader platform strategy.
Drive Adoption and Business Impact
  • Define success metrics and KPIs for forecast quality, operational efficiency, user adoption, and business value.
  • Monitor platform performance and continuously identify opportunities for improvement.
  • Lead change management efforts and stakeholder communications across Finance and business teams.
  • Build strong relationships with executive sponsors and key users to ensure the platform becomes a trusted part of financial decision-making.
Shape the Future of Intelligent Forecasting
  • Partner with Data Science teams to operationalize forecasting models and continuously improve predictive performance.
  • Evaluate emerging AI capabilities and identify opportunities to enhance planning, scenario modeling, forecasting documentation, and decision support.
  • Help establish a long-term vision for AI-enabled financial planning and forecasting across UMG.
Required Qualifications
  • 7+ years of product management experience leading complex software products or enterprise applications.
  • Experience building and launching custom business applications, workflow platforms, planning systems, or data-intensive products.
  • Demonstrated success leading cross‑functional teams that include engineering, analytics, and business stakeholders.
  • Strong understanding of software development life cycles and agile product development practices.
  • Experience defining product strategy, roadmaps, and business cases for enterprise software initiatives.
  • Exceptional stakeholder management and communication skills, including experience working with senior executives.
Preferred Qualifications
  • Experience supporting Finance, FP&A, forecasting, planning, accounting, ERP, or business operations functions.
  • Familiarity with forecasting methodologies, financial planning processes, budgeting, or scenario modeling.
  • Experience working with machine learning, predictive analytics, or AI-enabled products.
  • Understanding of modern data platforms, cloud technologies, and analytics ecosystems.
  • Experience leading products that combine structured data, statistical models, and business workflows.
  • MBA, finance background, or equivalent business experience is a plus.
Success in the First 12 Months
  • Establish a clear…
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