AI & Data Delivery Manager London

Indicium Ai
London, UK
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Big Data Data Architecture Data Transformation Data Systems Data Delivery

Job description

engagements, ensuring best practices in technical programme management, governance, risk management, and stakeholder alignment. Oversee a portfolio of data and AI engagements, balancing resources, priorities, and risks to ensure successful outcomes. Own the full engagement lifecycle-from pre-sales support and engagement shaping to roadmap definition, execution oversight, and post-delivery transition. Partner with customers to deeply understand their business challenges and deliver solutions that drive measurable transformation and long-term success. Ensure that AI and data solutions are scalable, maintainable, and aligned with industry best practices for security, fairness, explainability, and compliance Build, mentor, and scale high-performing technical delivery teams, fostering a culture of excellence, innovation, and accountability. Facilitate high performing cross-functional teams, including Indicium AI employees, contractors, partners, and customer personnel, ensuring effective

Requirements

collaboration. Contribute to Indicium AI’s thought leadership, developing best practices, methodologies, and reusable frameworks to enhance our delivery capabilities. Ensure engagements are commercially successful, managing budgets, forecasts, and profitability while maximizing value for customers. Proactively identify and mitigate risks, including technical risks, data privacy concerns, scope creep, and delivery bottlenecks. Ensure AI and data initiatives adhere to industry regulations, compliance frameworks, and enterprise governance best practices. Requirements Extensive experience leading £2M+ multi-workstream AI and data transformation engagements, ideally involving complex, mission-critical, or multi-region deployments. Technical expertise in cloud platforms, modern data architectures, and AI/ML deployment. Demonstrated ability to apply Agile, Lean, and Product-thinking approaches to large-scale data and AI initiatives Expertise in change management, including technology adoption, organisational transformation, and cultural change Deep understanding of AI/ML operational challenges and regulatory requirements Strong stakeholder engagement skills, with the ability to influence executives, technical teams, and delivery partners. Consulting or technology delivery experience, preferably within Financial Services, Energy, or Healthcare industries. Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person’s viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget #J-18808-Ljbffr

About the company

Indicium AI is trusted by the world’s leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy, and Healthcare. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are looking for an experienced AI & Data Delivery Manager to lead and scale high-impact AI and data engagements for our customers. This role is pivotal in ensuring the successful delivery of multi-million-pound, multi-workstream, multi-geography initiatives, balancing technical excellence, commercial success, and long-term customer impact. Responsibilities Lead the delivery of complex AI and data

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