AI & Data Technology Manager feat. Agents

Job description

Role You lead the technical implementation of data engineering and AI projects — and you actually build, not just advise. You own architectural decisions, manage a smaller team and manage client relationships at senior management level. Engineers rely on your direction. Clients trust your estimates. Oh, and you make agents breakfast, lunch, and dinner. What this work looks like Data platform: Unified data layer for 90+ countries in Databricks — medallion architecture, dbt, Unity Catalog, team of 8-20 engineers (not directly, but overall), replacement of 4 legacy BI systems. You own the architecture and data contracts with the owners of the source systems. GenAI agents: 7 automation agents on M365 (Copilot Studio + Power Automate) in parallel with an AI upskilling program for 200 employees. You designed the scope, negotiated the approval schedule with the client's IT, and kept the build agents strictly outside the training project's SOW. Four agents in production within 6 weeks. Data Agents: A total of 25+ super/agents for data product delivery = from orchestration to generic agents to specialized agents. For example, for migration to Databricks or Snowflake. Or for business use cases. You thought through (of course with Claude Code or similar), designed the architecture, navibe-coded the MVP, piloted it in front of the client, you showed how you built the architecture of skills, context management, memory, interfaces, agents and sub-agents. Or at least you tried and learned a bunch of things along the way. What you will do End-to-end delivery: architecture, code quality, milestones, risks Agents You will be involved technically where needed — write the dbt model, prototype the pipeline, validate the approach before devoting the entire sprint to it Agents You will lead status and risk discussions with clients at director and VP level (including unpleasant ones) Agents Manage a team of 3-5 engineers, participate in scoping and preparation of bids Who we are looking for: Requirements 5+ years in data engineering or delivery of AI projects, 2+ years of technical team management Delivered production systems: lakehouse in real operation, pipeline on which the business depends, ML model in inference Practical knowledge: Python, SQL, Spark/Databricks, dbt, Azure/AWS/GCP; experience with GenAI tooling an advantage to a necessity In-depth knowledge of data modeling — partitioning, SCD, data contracts, lineage, real-life experience with N-layer architecture (any methodology – Kimball, Inmon, Vault, etc.) Fluent English; Czech and German an advantage We will also appreciate: You use daily AI-assisted coding (Copilot, Cursor, Claude) for faster delivery You have experience in regulated industries — data governance is not an afterthought Were you able to tell the client that his schedule is unrealistic — and you maintained the relationship Why Data & AI with us? Work on big production data platforms for global clients Part of a strong local and global Data & AI community with real engineering depth Access to Accenture educational platforms, certifications and structured upskilling Cloud, AI and ML technology, including GenAI use cases. Hybrid way of working — typically 2 days a week on-site (Accenture office or client depending on project phase) A culture that builds on ownership, leadership, learning and real impact — not just on "delivery" About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry,