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Ernst & Young

Global professional services: consulting, assurance, tax

Manager ou Senior Manager - Data Architecture, Cloud Platform & AI Ops, Secteur financier, h/f

Data Management +1Updated on Nov 14
Full-timeParis, FranceIn-person

About the Job

Requirements

  • You have 5 to 10 years of experience in data architecture, cloud platforms, or Data & AI operations, ideally in consulting and/or financial services.
  • You are proficient in integration and middleware architectures, including API management, ESB, ETL/ELT, iPaaS, microservices, and event-driven architectures, and modern analytics architectures such as Data Lake, Lakehouse, and Data Mesh.
  • You know conceptual, logical, and physical modeling principles and have experience with Azure, AWS, or GCP environments and platforms such as Databricks or Snowflake.
  • You are proficient in CI/CD practices, Git, Docker, and Kubernetes; DataOps, DevOps, MLOps, or AI Ops approaches; and Python, SQL, Spark, Kafka, and NoSQL databases.
  • You have participated in agile projects through production deployment and can evaluate architecture choices against operational constraints.
  • For a Manager position, you have proven experience in team leadership, project management, business development, and client relationships.
  • You have a strong command of English to communicate with EY teams and clients internationally.
  • You hold certification in one or more market technologies (a plus).

Responsibilities

  • Conduct data, cloud, and integration architecture assessments, map flows, and identify optimization opportunities.
  • Define principles, roadmaps, and target architectures, then recommend technology choices based on business needs and value, cost, performance, security, resilience, and scalability considerations.
  • Design and implement Data & AI platforms on Azure, AWS, or GCP, including Databricks and Snowflake, as well as integration chains and performant pipelines.
  • Define and deploy AI Ops, DataOps, and DevOps approaches to automate operations, make production deployments more reliable, and improve system performance, in collaboration with business and technical teams.
  • Lead projects, coordinate stakeholders, supervise junior consultants, and contribute to proposals, tenders, benchmarks, and research.

Desired Qualifications

  • Consulting and/or financial services experience is preferred.
  • A strong technological culture related to data and AI, with willingness to develop skills quickly on transformation topics and varied clients.
  • A proactive and critical mindset, strong writing, and the ability to analyze and synthesize information clearly.
  • Team spirit alongside autonomy, good interpersonal skills, and attentive listening to respond to client needs.
  • Client- and business-oriented approach, ability to explain technical matters accessibly, and not focusing exclusively on technical aspects.

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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