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Accenture

Advises businesses and runs their technology

Data & AI Senior Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Deep technical expertise in at least one of AI Platform Engineering, AI Pipelines and Data Engineering, or Data Products, including relevant platform, pipeline, data quality, or product delivery expertise.
  • A proven track record of leading complex, enterprise-scale data and AI programmes from strategy through production and operationalisation.
  • 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.
  • Experience defining how AI changes engineering team workflows and practices.
  • Experience shaping or delivering operating models for autonomous or human-in-the-loop AI systems at enterprise scale.
  • Familiarity with AI risk frameworks, regulatory considerations, and 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 Azure, AWS, GCP, Databricks, Snowflake, and Microsoft Fabric ecosystem and how these platforms combine to form enterprise AI-ready architectures.

Responsibilities

  • Define and lead AI-enabled transformation programmes spanning data engineering, platform engineering, and data product delivery, shaping how clients adopt AI as a fundamental change to operations and competition.
  • Provide senior technical leadership across complex, multidisciplinary engagements, bringing depth in one or more of AI Platform Engineering, AI Pipelines, or Data Products, and breadth to engage across all three.
  • Build and sustain trusted relationships with senior client stakeholders, including CTOs, Heads of Data and Platform Engineering, CDOs, and technology executives, acting as a strategic advisor and trusted partner.
  • 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 by defining operating models, tooling standards, and governance frameworks for large engineering teams.
  • Design and oversee operating models for agentic and human-in-the-loop data and platform operations, helping clients transition to autonomous, AI-governed workflows responsibly and at scale.
  • Lead the commercial agenda by identifying opportunities, 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.
  • Develop propositions, thought leadership, points of view, and market-facing assets for AI-powered data and platform engineering.
  • Build, lead, and develop large multidisciplinary teams across Data Engineering, Platform Engineering, AI, and Data Product disciplines, fostering technical excellence, inclusion, and career growth.
  • Contribute to Data & AI practice growth through recruitment, capability development, knowledge sharing, and creating reusable accelerators, frameworks, and delivery assets.
  • Spend time onsite with clients and partners as required to deliver services.

Desired Qualifications

  • Expertise across more than one of the Platform, Pipelines, and Data Products capability areas.
  • Experience defining and delivering agentic transformation programmes or AI-native operating models at enterprise scale.
  • Recognised thought leadership, such as published points of view, conference speaking, industry presence, or active contribution to the data and AI community.
  • Experience in Financial Services, Resources, Products, Communications, or Health & Public Services.
  • Advanced cloud, data, and AI platform certifications, such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, Databricks Certified Professional Data Engineer, or Google Professional Cloud Architect.
  • AI platform and engineering certifications, such as AWS Machine Learning Specialty, Google Professional ML Engineer, or Databricks Generative AI Engineer.
  • AI practitioner certifications demonstrating hands-on fluency with leading AI platforms, such as Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic AI Business Solutions Architect (AB-100), AI Agent Builder Associate (AB-620), or equivalent credentials from other leading AI vendors.

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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