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Ernst & Young

Global professional services: consulting, assurance, tax

AI Project Manager - Financial Services

Program ManagementUpdated on Nov 14
Full-timeDiegem, Machelen, BelgiumNo salary listed

About the Job

Requirements

  • At least 4 years of experience leading complex technology programs, including managing AI and machine learning initiatives in Financial Services.
  • Proven command of Agile, Scaled Agile, and hybrid delivery models, including backlog management, story mapping, and sprint and PI planning using Jira or Azure DevOps.
  • Good understanding of AI solution building blocks, including large language models, retrieval-augmented generation, agents, vector databases, model evaluation and monitoring, and cloud data platforms such as Azure, Databricks, and Snowflake.
  • Fluency in delivery risk management and value realization, including benefits tracking, objectives and key results, and return on investment.
  • Familiarity with Responsible AI frameworks, model governance, the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU regulatory context including the AI Act, GDPR, and DORA.
  • Fluency in Dutch or French and business proficiency in English.

Responsibilities

  • Lead end-to-end delivery of AI initiatives for Financial Services clients from discovery and business case through build and testing to production rollout and hypercare, ensuring scope, schedule, budget, and quality are met.
  • Establish and run delivery governance, including RAID, KPIs and OKRs, stage gates, value tracking, decision forums, and reporting to senior stakeholders such as CIOs, COOs, and Heads of Data and Compliance.
  • Orchestrate multidisciplinary squads of AI engineers, solution architects, data engineers, product owners, designers, risk and compliance professionals, and third parties, ensuring alignment and effective collaboration.
  • Drive adoption of secure software development lifecycle and MLOps/LLMOps practices across teams, including branching strategy, environments, continuous integration and delivery, testing strategy, documentation, and runbooks.
  • Ensure Responsible AI and regulatory compliance, including AI Act readiness, GDPR, DORA, and model risk management, in partnership with Risk, Legal, Security, and Model Validation, and maintain audit-ready documentation.
  • Plan and execute change management and enablement, including training, communications, and business readiness, to maximize user adoption and value realization.
  • Own the program backlog and roadmap; facilitate discovery, prioritization, and sequencing of use cases; and manage dependencies and critical paths across streams.
  • Contribute to proposals, estimations, statements of work, and case studies; represent EY in client meetings as a trusted delivery lead.

Desired Qualifications

  • Professional certifications such as PMP/PRINCE2, SAFe (LPM/RTE), Scrum, or Azure Fundamentals/Azure AI Engineer.
  • Hands-on experience establishing AI delivery playbooks and operating models in a regulated Financial Services environment.
  • Track record delivering multi-vendor programs with budgets greater than €2 million and coordinating nearshore and onsite teams.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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