AI & Data | Engineering & Delivery
Location: UK (Hybrid)
Salary: Up to £115,000 + Bonus + Benefits
Overview
An exciting opportunity has arisen for an experienced Associate Director to join a growing AI and Data team within a well-established consulting environment.
This role combines business development, client engagement, strategic advisory and delivery leadership, offering the opportunity to help organisations realise value from AI and emerging technologies. The successful candidate will work closely with senior stakeholders, identify and develop new business opportunities, and oversee the delivery of complex AI-enabled transformation programmes.
This position is suited to individuals who are equally comfortable discussing commercial outcomes with executive stakeholders as they are guiding technical teams delivering innovative AI solutions.
Key Responsibilities
Business Development & Client Growth
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Identify, develop and secure new consulting opportunities.
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Build and maintain strong relationships with senior client stakeholders.
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Grow and manage strategic client accounts.
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Lead commercial discussions, proposals and statements of work.
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Support the continued growth of the wider AI and Data practice.
AI Advisory & Strategy
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Advise clients on AI adoption, strategy and implementation.
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Help organisations identify opportunities to leverage AI for business value.
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Develop business cases, roadmaps and operating models.
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Translate technical concepts into practical recommendations for senior decision-makers.
Delivery Leadership
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Lead the successful delivery of AI and data-focused programmes.
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Provide oversight and direction to multidisciplinary delivery teams.
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Ensure projects are delivered against agreed objectives, timelines and budgets.
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Take ownership of client outcomes and programme success.
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Promote best practices across delivery, architecture and solution design.
Leadership & Team Development
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Coach and mentor consulting and delivery professionals.
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Support capability development across AI, data and emerging technologies.
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Contribute to recruitment, talent development and practice growth initiatives.
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Foster a collaborative and high-performing team culture.
Skills & Experience
Essential
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Proven history of originating and closing consulting sales opportunities.
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Experience managing and growing large enterprise client accounts.
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Strong commercial awareness and consulting experience.
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Demonstrable success leading technology, data or AI transformation programmes.
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Experience overseeing the delivery of production AI solutions.
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Ability to engage confidently with executive and senior leadership stakeholders.
AI & Technology Knowledge
Strong understanding of modern AI technologies and concepts, including:
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Generative AI
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Large Language Models (LLMs)
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Prompt Engineering
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Retrieval-Augmented Generation (RAG)
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Vector Databases
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AI Solution Architecture
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MLOps Principles
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AI Governance and Risk Considerations
Candidates are not expected to be hands-on developers but should be capable of guiding technical teams and contributing to key architectural and delivery decisions.
Desirable Experience
Practical experience applying AI within one or more of the following areas:
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Customer operations and service transformation
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Content, knowledge or workflow optimisation
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Software engineering productivity and developer enablement
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Enterprise process automation
Cloud & Data Platforms
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Understanding of major cloud platforms such as AWS, Azure and/or GCP.
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Familiarity with cloud-native AI services and deployment approaches.
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Appreciation of enterprise security, governance and data management considerations.
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Knowledge of scalable operating models for AI adoption.
Personal Attributes
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Strong relationship-building and stakeholder management skills.
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Commercially minded with a focus on delivering measurable business value.
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Excellent communication and presentation abilities.
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Strategic thinker with a pragmatic approach to execution.
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Comfortable operating within complex, fast-paced environments.
Package
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Salary up to £115,000.
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Performance-related bonus.
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Competitive benefits package.
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Hybrid working model.
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Ongoing professional development opportunities.
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Exposure to large-scale AI and data transformation initiatives.
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Clear progression opportunities within a growing practice.
This is an excellent opportunity for a commercially focused AI leader looking to combine business development, strategic advisory and delivery leadership within a high-growth environment.
