Data & AI Consultant

Methods

. Deliver client engagements, with contributions to business development and collaboration within the Data & AI Practice .

Posted 11/10/2026full-timeBristol • United KingdomMid-LevelSenior💰 £60,000 - £80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing Data Strategies and Data Transformation initiatives, with a strong focus on Data & AI technologies and stakeholder engagement. Capable of guiding data-driven initiatives and articulating the value of Data & AI capabilities to diverse audiences.

Highest-signal resume keywords

Data Strategy DevelopmentData Transformation ImplementationStakeholder ManagementData Governance KnowledgeAI and ML Concepts Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StrategyData TransformationData & AI Use CasesAnalytical MethodsStatistical MethodsData GovernanceData MeshComputer VisionAI/ML FrameworksData Science Principles

Soft Skills

LeadershipProblem-SolvingCritical ThinkingContinuous LearningMentoring

Tools & Technologies

GenAIMS CopilotMicrosoft FabricCloud TechnologiesData Science Tools

Certifications & Qualifications

DCAMCDMPRelevant Cloud Certifications

Industry Keywords

Data GovernanceData LiteracyPublic SectorManagement ConsultingExecutive Engagement

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Deliver client engagements, with contributions to business development and collaboration within the Data & AI Practice
Lead delivery and support growth of client engagements with multidisciplinary consultants across business analysis, delivery management, engineering, architecture, and data science
Understand client business processes and objectives
Identify high-value Data & AI use cases and recommend appropriate solutions
Advise stakeholders on data governance and responsible AI
Monitor trends in data, analytics, ML, and AI to shape strategic client advice
Educate executives on Data & AI technologies, techniques, and market offerings
Advise C-suite teams on enterprise data strategies and data foundations for AI implementation
Guide data-driven initiatives and develop Data & AI strategies, business cases, plans, and roadmaps
Build lasting client Data & AI capabilities through data literacy, mentoring, and knowledge sharing
Articulate and quantify the value of Data & AI capabilities to prospects
Build practice offerings, thought leadership, training, and mentoring
Deliver and manage projects from start to finish

Requirements

What you’ll need

Experience writing Data Strategies
Experience implementing Data Transformation
Experience setting strategic direction for use of Data & AI and supporting delivery of impactful solutions across business strategy, transformation, and operations
Ability to convey complex AI and ML concepts to technical and non-technical stakeholders
Ability to assess relevant techniques for use cases and justify evidence-based approaches
Understanding of data governance and ethics principles, including security, privacy, and risk control metrics
Strong stakeholder management and leadership experience
Strong analytical, problem-solving, and critical-thinking skills
Experience identifying and implementing Data & AI initiatives and use cases
Continuous learning and improvement in Data & AI
Foundational Data & AI knowledge with hands-on data and AI experience, applying analytical and statistical methods in business or academia
Knowledge of GenAI, MS Copilot, Microsoft Fabric and/or relevant cloud, data science, AI, and ML certifications
Security Clearance required or willingness to undergo it
Completion of Baseline Personnel Security Standard onboarding requirements
Knowledge of UK Public Sector (desirable)
Experience in Data Mesh (desirable)
Experience in management consulting or large-organisational data strategy delivery, including executive engagement (desirable)
Experience developing proposals, bids, and value propositions (desirable)
Awareness of recognised data governance and management practices (desirable)
Working knowledge of Computer Vision, ML, GenAI, AI/ML frameworks, and Data Science Principles (desirable)
DCAM, CDMP, or equivalent qualification (desirable)
Degree in mathematics, engineering, data science, or computer science (desirable)

Benefits

Comp & perks

Autonomy to develop and grow your skills and experience
Exciting project work that is making a difference in society
Strong, inspiring and thought-provoking leadership
Supportive and collaborative environment
Development access to LinkedIn Learning, a management development programme and training
Wellness 24/7 Confidential employee assistance programme
Social activities: Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month
Commitment to charitable causes
25 days off a year
Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
Life Assurance of 4 times base salary
Non-contributory Private Medical Insurance, including spouse and dependants
Non-contributory Worldwide Travel Insurance, including spouse and dependants