Ernst and Young

Principal Data & AI Architect - Government Services

Ernst and Young
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22 days ago
Katowice, PolandStaff+

Responsibilities

  • Lead the architecture and delivery of complex cloud data and AI solutions for Government and Infrastructure sector clients.
  • Lead Cloud Data Architecture and Delivery teams and ensure they have the capabilities to deliver high-quality, sector-specific solutions.
  • Collaborate with sales and account teams to understand client requirements and develop tailored solutions.
  • Participate in client meetings and workshops and present solution business cases and return-on-investment proposals.
  • Develop tailored go-to-market strategies and solutions aligned with Government and Infrastructure sector best practices.
  • Create solution plans with business and multidisciplinary teams, including cost estimates and delivery approaches.
  • Research client inquiries, regulatory developments, industry practices, and emerging application technologies.
  • Use professional networks to drive innovation, share best practices, and support continuous improvement.

Requirements

  • Proven experience in Government, Public, and Infrastructure sectors and a strong understanding of their trends, solutions, and challenges.
  • At least 8 years of professional hands-on experience building complex AI and data solutions.
  • Experience in an Architect role designing and building complex data solutions.
  • Experience with Azure or AWS cloud products and services.
  • Familiarity with data fabric, data mesh, and data vault concepts.
  • Ability to facilitate design discussions and communicate architectural decisions effectively.
  • Experience creating reliable solution plans with business and multidisciplinary teams, including cost estimation and delivery approaches.
  • Demonstrated strategic thinking and ability to investigate client inquiries and emerging issues.
  • Experience using Agile methodologies such as Scrum or Kanban.
  • C1-level English proficiency.
  • Additional French or German language skills are preferred.
  • Experience with machine learning and deep learning, including exposure to large language models, is preferred.

Benefits

  • Hybrid work arrangement in Katowice with two days in the office and three days remote.
  • Continuous learning opportunities and support for developing new skills.
  • Tools and flexibility to make a meaningful impact according to individual career goals.
  • Leadership development through insights, coaching, and confidence-building opportunities.
  • Diverse and inclusive culture within EY’s global delivery network.
  • International collaboration with EY teams across nine global delivery locations and multiple service lines.

Tech Stack

Categories

Data EngineeringML Engineering
Ernst and Young

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