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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Senior Manager - **Company:** Accenture - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Systems Development Life Cycle, DataOps, Azure Machine Learning, Google Cloud, Snowflake, Generative AI, Agentic-AI, Microsoft Fabric, AI Platforms, Machine Learning Operations, Claude, Virtual Agents, AIOps, Human in the Loop, Databricks - **Published:** October 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5049499091128345 ## About the Role * Deep technical expertise in one or more of: AI Platform Engineering (cloud infrastructure, AIOps, intelligent automation, platform architecture); AI Pipelines and Data Engineering (pipeline modernisation, AI-assisted delivery, agentic data operations, data quality at scale); or Data Products (consumption-first design, data product operating models, AI-accelerated product delivery) * Proven track record of leading complex, enterprise-scale data and AI programmes from strategy through to production and operationalisation * Senior stakeholder engagement - demonstrated ability to build trusted advisory relationships with CTOs, CDOs, Heads of Engineering and other senior technology leaders * Commercial experience - including opportunity shaping, bid leadership, pricing and contract engagement across large technology programmes * AI strategy and transformation leadership - experience defining how AI changes the way engineering teams work, not just what they build * Agentic AI and AI operating model design - experience shaping or delivering operating models for autonomous or human-in-the-loop AI systems at enterprise scale * Responsible AI and AI governance - familiarity with AI risk frameworks, regulatory considerations and the practical application of responsible AI principles in delivery * Experience growing and leading high-performing, multidisciplinary engineering teams in a consulting or professional services environment * Strong understanding of the hyperscaler and data platform ecosystem - Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric - and how these combine to form enterprise AI-ready architectures You should apply if: You don't need to have done everything on this list. We're looking for Senior Managers who combine genuine technical depth - enough to be credible with the most demanding technical clients - with the leadership, commercial instinct and strategic vision to help grow a practice and shape a market. If you have significant expertise in one or more of our capability areas, a track record of delivery at scale, and the drive to work at the frontier of what AI is making possible in data and platform engineering - we want to hear from you. Set yourself apart: * Significant expertise across more than one of our three capability areas - Platform, Pipelines and Data Products * Experience defining and delivering agentic transformation programmes or AI-native operating models at enterprise scale * Recognised thought leadership - published points of view, conference speaking, industry presence or active contribution to the data and AI community * Experience in one or more of our key industry verticals - Financial Services, Resources, Products, Communications or Health & Public Services * Relevant advanced certifications across cloud, data and AI platforms (e.g. AWS Solutions Architect Professional, Azure Solutions Architect Expert, Databricks Certified Professional Data Engineer, Google Professional Cloud Architect) * AI platform and engineering certifications (e.g. AWS Machine Learning Specialty, Google Professional ML Engineer, Databricks Generative AI Engineer) * AI practitioner certifications demonstrating hands-on fluency with leading AI platforms - for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic AI Business Solutions Architect (AB-100) or AI Agent Builder Associate (AB-620), or equivalent credentials from other leading AI vendors ## Description * Define and lead AI-enabled transformation programmes spanning data engineering, platform engineering and data product delivery - shaping how clients adopt AI not just as a technology but as a fundamental change to how they operate and compete * Provide senior technical leadership across complex, multi-disciplinary engagements - bringing depth of knowledge in one or more of AI Platform Engineering, AI Pipelines or Data Products, and the breadth to engage credibly across all three * Build and sustain trusted relationships with senior client stakeholders - CTOs, Heads of Data and Platform Engineering, CDOs and technology executives - acting as a strategic advisor and trusted partner, not just a delivery lead * Shape client technology strategies and roadmaps, including AI-native platform design, AI-powered pipeline modernisation, data product operating models and agentic transformation programmes * Drive AI-SDLC adoption and AI-assisted engineering at scale - defining the operating models, tooling standards and governance frameworks that allow large engineering teams to deliver faster, more reliably and with higher quality * Design and oversee operating models for agentic and human-in-the-loop data and platform operations - helping clients understand how to transition from manual and rule-based operations to autonomous, AI-governed workflows responsibly and at scale * Lead the commercial agenda - owning opportunity identification, shaping bids and proposals, developing pricing strategies and supporting contract negotiations across data and AI engagements * Govern AI risk, security, compliance and responsible AI within data and platform engineering solutions - ensuring our delivery meets the highest standards of technical integrity and ethical practice * Develop propositions, thought leadership, points of view and market-facing assets that position Accenture at the forefront of AI-powered data and platform engineering * Build, lead and develop large multidisciplinary teams - spanning Data Engineering, Platform Engineering, AI and Data Product disciplines - fostering technical excellence, inclusive culture and career growth * Contribute to the growth of our Data & AI practice - through recruitment, capability development, knowledge sharing and the creation of reusable accelerators, frameworks and delivery assets