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Accenture

Advises businesses and runs their technology

Delivery Lead

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeBucharest, RomaniaNo salary listed

About the Job

Requirements

  • A minimum of 8 years of experience in technology delivery, including at least 4 years leading AI or advanced analytics initiatives from strategy through production, beyond proof-of-concept work.
  • Demonstrated experience delivering AI use cases in financial services or banking, with familiarity with tier-1 bank regulatory constraints, data sensitivity requirements, and risk appetite.
  • Technical depth to assess AI solution design, including large language model capabilities and limitations, retrieval-augmented generation, classification and extraction models, prompt engineering principles, and API-based AI integration patterns.
  • Experience governing AI delivery through others by setting standards, reviewing factory team or vendor outputs, and enforcing quality gates without personally building the solution.
  • A track record of building business cases and realizing value, including quantifying AI opportunities, presenting to executive stakeholders, and measuring delivered benefits.
  • Strong written English for program documentation and executive materials.
  • Experience in regulated delivery environments, including practical understanding of responsible AI, explainability, and human oversight.
  • Comfort with systems integration program structures, including stage gates, milestone governance, PMO reporting, and multi-party delivery across client, systems integrator, and vendor organizations.
  • Fluency in French and/or Dutch, written and spoken, is a plus but not required.

Responsibilities

  • Define and own the AI use case roadmap, identifying, assessing, and prioritizing opportunities across KYC, Estates, CEP, and operational workstreams with client leads and program leadership.
  • Lead structured use-case discovery workshops in English with client business stakeholders to surface pain points, quantify effort, and translate business needs into AI problem statements.
  • Own the AI delivery lifecycle from feasibility and solution design through build governance, testing, and production deployment, applying the program stage-gate model.
  • Govern AI build quality by reviewing model selection, prompt engineering, data pipeline design, and integration architecture produced by factory teams and vendors, and enforce quality gates before progression.
  • Define and maintain the client-specific AI governance framework, including responsible AI principles, bias and fairness controls, explainability requirements, data handling standards, and human-in-the-loop design patterns aligned with client policy and EU AI Act obligations.
  • Serve as the primary AI interface to the client, presenting use-case business cases, progress, risk, and outcomes to initiative leads and executive sponsors.
  • Manage relationships with AI vendors and platform providers, assess fit, negotiate scope, and hold delivery accountable for committed outcomes.
  • Track and report AI program value, including use-case pipeline health, delivery status, realized benefits, and risk posture, to the Program Director and steering group.
  • Travel approximately 25–30% to program locations for stakeholder workshops, governance, milestone events, and client relationship management as required.
  • Collaborate with offshore teams and vendors across time zones, with schedule flexibility as needed.

Desired Qualifications

  • Familiarity with EU AI Act classification, obligations, and compliance design, particularly for high-risk banking use cases such as credit, KYC, and fraud.
  • Experience with Mistral AI or equivalent enterprise AI platforms in a regulated environment.
  • Prior delivery of natural language processing or document intelligence use cases relevant to banking operations, such as KYC document extraction, correspondence classification, or estate processing automation.
  • Experience with ServiceNow AI/ML capabilities, including Now Intelligence, predictive intelligence, or virtual agent design in an enterprise context.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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