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Universal Music Group

Director, AI/ML, GenAI & Intelligent Automation – Finance Technology

Posted 6 Hours Ago
Be an Early Applicant
In-Office or Remote
50 Locations
179K-215K Annually
Expert/Leader
In-Office or Remote
50 Locations
179K-215K Annually
Expert/Leader
The Director will lead AI-driven automation within Finance Technology, overseeing a global AI/ML Center of Excellence, developing strategies and solutions for finance processes, and driving digital transformation effort.
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We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.
 

Role Overview

The Director, AI/ML, GenAI & Intelligent Automation – Finance Technology will lead the vision, setup, and execution of AI-driven automation capabilities within the Finance Applications, Systems and Services Technology (FASST) organization, supporting global finance processes such as Record-to-Report (R2R), Order-to-Cash (O2C), and Procure-to-Pay (P2P).

This role will establish and lead the AI/ML/IPA Center of Excellence (CoE) — a global capability designed to drive automation strategy, innovation, governance, and delivery excellence across Finance. The CoE will enable the intelligent automation of business processes through the application of AI, Machine Learning, Generative AI, and advanced analytics, accelerating digital transformation and operational efficiency across the enterprise.

The ideal candidate is a strategic and hands-on technology leader with deep expertise across AI/ML platforms, cloud ecosystems, and automation technologies, coupled with strong knowledge of Finance processes and a proven record in scaling enterprise transformation programs.

Key Responsibilities

Strategic Leadership

  • Establish and lead the AI/ML/IPA Center of Excellence (CoE) to define the strategy, operating model, and governance for intelligent automation across FASST and Global Finance Technology.
  • Develop and execute a multi-year roadmap to embed AI, ML, and GenAI into Finance processes (R2R, O2C, P2P) to drive measurable business outcomes.
  • Partner with Finance and Technology leadership to identify, assess, and prioritize automation and AI opportunities.
  • Serve as a thought leader on emerging AI, GenAI, and automation trends, ensuring alignment with enterprise digital transformation strategies.

CoE Leadership & Governance

  • Build and lead a global, cross-functional CoE team of automation engineers, business analysts and solution architects.
  • Define frameworks and best practices for model management, automation lifecycle, and responsible AI governance.
  • Create reusable assets, reference architectures, and scalable solutions that accelerate delivery and adoption.
  • Lead enablement initiatives to upskill teams and promote a data- and automation-first culture across Finance and Technology.

Delivery & Execution

  • Design, develop, and operationalize AI/ML, GenAI, and automation solutions leveraging enterprise-grade platforms such as Azure AI, Google Cloud AI, AWS AI, OpenAI, and related ecosystems.
  • Deliver automation solutions that integrate with ERP, analytics, and workflow systems to improve efficiency, accuracy, and insights.
  • Implement intelligent process automation (IPA) solutions using RPA, NLP, ML pipelines, process mining, and LLM-based copilots.
  • Ensure scalability, reliability, and sustainability of deployed AI/automation systems through continuous monitoring and optimization.

Collaboration & Partnership

  • Collaborate with Global Finance Operations (GFO) and regional Finance leaders to align automation initiatives with global business priorities.
  • Partner with FASST delivery teams, data platform owners, and enterprise architects to ensure solutions align with enterprise architecture and security standards.
  • Engage with strategic technology vendors and cloud partners to co-innovate and explore next-generation AI/automation capabilities.

Performance & Continuous Improvement

  • Define and monitor KPIs to measure automation adoption, ROI, and business impact across Finance processes.
  • Drive continuous improvement by leveraging data-driven insights and AI performance analytics.
  • Evolve the CoE’s strategy and operating model to support scalability, governance, and long-term value creation.
Qualifications & Experience

Education:

  • Bachelor’s degree in computer science, Engineering, Finance, or a related field (Master’s preferred).

Experience:

  • 15+ years of experience in AI/ML, Intelligent Automation, or Digital Transformation, preferably within Finance or Enterprise Technology.
  • Proven success in establishing and leading an AI/Automation Center of Excellence (CoE) within a global organization.
  • Strong expertise across AI/ML and GenAI platforms spanning major cloud ecosystems (Azure, AWS, Google Cloud, OpenAI, etc.).
  • Hands-on experience with RPA tools (UiPath, Automation Anywhere, Power Platform) and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain).
  • In-depth understanding of Finance processes (R2R, O2C, P2P) and ERP platforms (SAP, Oracle, Workday).
  • Demonstrated ability to translate business needs into scalable, value-driven technology solutions.
  • Exceptional leadership, communication, and stakeholder management skills, with a collaborative, forward-thinking mindset.

Key Competencies

  • Strategic leadership and innovation orientation
  • Deep technical expertise in AI, ML, and automation
  • Finance process and transformation acumen
  • Governance and ethical AI awareness
  • Global stakeholder collaboration and influence
  • Delivery excellence and measurable impact orientation

Why Join Us

This is a unique opportunity to lead the transformation of global Finance business operations through AI, ML, and automation. As the head of the AI/ML/IPA Center of Excellence, you’ll shape the strategy, innovation, and execution that define the future of Finance Technology — building intelligent, scalable solutions that deliver lasting business value across Universal’s global enterprise.

#LI-remote

Perks Playlist:

  • Be part of an entrepreneurial, global organization that values authenticity, drive, creativity, relationships, and a competitive spirit

  • Comprehensive medical, dental, vision, and FSA options, as well as:

    • 100% coverage for out-patient mental health services

    • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)

    • A lifetime fertility support allowance of $30,000 to plan participants

    • Student Loan Repayment Assistance and Tuition Reimbursement

    • 100% immediately vested 401(k) match on the first 5% of your contribution on eligible compensation

  • Variety of ways to prioritize much-needed time away from work including:

    • Flexible Paid Time Off (PTO) for exempt employees

    • 3-weeks PTO for non-exempt employees

    • 2-weeks paid Winter Break

    • 10 Company Holidays (including Juneteenth and Wellbeing Day)

    • Summer Fridays (between Memorial Day and Labor Day)

    • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.

For more information, please click on the following links.

E-Verify Participation Poster: English / Spanish

E-Verify Right to Work Poster: English | Spanish


Job Category:
Technology

Salary Range:

$178,834 - $215,205

The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.  All candidates are encouraged to apply.

Top Skills

AI
Automation Anywhere
Aws Ai
Azure Ai
Generative Ai
Google Cloud Ai
Langchain
Machine Learning
Openai
Power Platform
PyTorch
Scikit-Learn
TensorFlow
Uipath

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