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AI Delivery Lead - Associate Director - Insurance, Engineering AI and Data

Location: London
Business Area: Technology & Transformation
Job Type: Permanent / FTC

Role Overview

An industry‑leading professional services and technology organisation is seeking an AI Delivery Lead (Associate Director level) to help shape, design, and deliver next‑generation AI solutions for major Insurance clients. This is a senior role for someone passionate about blending strategic thinking, hands‑on delivery, and leadership to drive impactful outcomes.

You will work with high‑profile enterprise clients, guiding them through complex transformation programmes and developing AI‑enabled solutions across traditional AI, generative AI, data science, and cloud engineering.

Key Responsibilities

Client Engagement & Solution Design

* Partner with senior client stakeholders to understand business challenges and shape AI‑enabled solutions.
* Translate complex insurance domain needs into actionable technology strategies.
* Identify AI opportunities and lead go‑to‑market initiatives and strategic partnerships.

Delivery Leadership

* Lead and manage multidisciplinary teams including data scientists, engineers, developers, and analysts.
* Oversee end‑to‑end project delivery: scope, timelines, budget, and quality.
* Ensure implementation of robust governance, data privacy controls, and responsible/ethical AI practices.

Business Development

* Contribute to sales, proposals, client pitches, and long‑term account growth.
* Develop thought leadership and innovative approaches within the AI & Data domain.

Technical & Strategic Oversight

* Stay current with the evolving AI landscape, including GenAI and emerging technologies.
* Identify, evaluate, and integrate new tools, platforms, and methodologies.
* Communicate complex concepts to both technical and non‑technical audiences clearly and persuasively.

Essential Experience & Skills

* Extensive experience in the Insurance industry, with deep expertise across sub‑domains.
* Proven track record delivering large-scale, production-grade AI solutions.
* Strong ability to link complex business problems with technical AI solutions.
* Exceptional programme/project management capability.
* Deep understanding of AI technologies, including Generative AI.
* Demonstrated leadership skills and ability to manage diverse technical and non‑technical teams.
* Strong experience with agile methodologies and modern delivery practices.



Please send me a copy of your CV of you meet the requirements

Data Modelling Lead, Associate Director - Insurance
Location: London or Manchester
Business Line: Technology & Transformation
Job Type: Permanent / FTC

Lead the Future of Data in Insurance
A leading global professional services organisation is seeking experienced Senior Data Modellers to join its Insurance Technology & Transformation practice as Data Modelling Leads (Associate Director level).
The insurance sector is undergoing rapid change, driven by the growing importance of data, analytics and AI. Organisations are rethinking how they manage, structure and use data-embracing decentralised approaches, modern platforms, and domain-oriented data products to unlock new value.
Data modelling sits at the heart of this transformation. A strong data design strategy enables insurers to modernise their operations, enhance customer outcomes, and build the foundations for advanced analytics, machine learning and AI.
This role offers the opportunity to shape those foundations and influence data strategy across major insurance organisations.

What You'll Do
As a Data Modelling Lead, you will guide the design of transformational data solutions across the insurance value chain. Working alongside architects, engineers and business leaders, you will define coherent, business-facing data models that support critical functions and strategic objectives.
Your responsibilities include:
* Analysing business and technical environments to derive insights that inform data models and data architecture.
* Delivering business-facing insurance data models that support transformation, analytics, AI, reporting and regulatory needs.
* Contributing to end-to-end data and solution architectures across insurance domains.
* Helping clients understand how data can address strategic challenges and unlock new opportunities.
* Leading senior stakeholder relationships and establishing a common language for data across complex organisations.
* Developing strategic roadmaps for Data & AI capabilities.
* Leading diverse, high-performing teams and fostering an inclusive, supportive culture.
* Owning workstreams and ensuring successful delivery of client engagements.
* Supporting go‑to‑market activity, proposals and the evolution of data and architecture offerings.
* Contributing to the growth of the Strategy, Governance & Architecture community and mentoring emerging talent.

What You'll Bring
Essential experience
* Strong consulting background with client-facing delivery experience.
* Experience contributing to proposals, presentations and pre-sales activities.
* Excellent analytical and problem-solving skills.
* Executive-level stakeholder management and relationship building.
* Deep functional knowledge in Insurance (e.g., Finance, Risk, Underwriting, Pricing, Claims, Asset Management).
* Proven leadership of multi-disciplinary teams and development of junior talent.
* Strong understanding of data solutions including data modelling, data management, data quality, MDM, reference data, analytics and BI.
* Experience in data solution architecture and design principles.
* Expertise in developing data models, data dictionaries, vocabularies, taxonomies or ontologies.
* Experience engaging both Business and IT stakeholders on large-scale programmes.
* Skilled in leading data design workshops and aligning data architecture across business units and geographies.
* Ability to quickly assimilate new techniques and apply them to business outcomes.
* Experience leading go‑to‑market activities including RFI/RFP responses.
* Commitment to inclusive team culture and people development.

Desirable experience
* Architecture certifications (e.g., TOGAF) or equivalent.
* Certifications or hands-on experience with modern Data & AI technologies (e.g., Microsoft Fabric, Snowflake, Databricks).
* Experience delivering Data Mesh or similar decentralised data frameworks.
* Experience designing data products for insurance.
* Understanding of Data Governance and platforms such as Collibra or Informatica.
* Experience managing cross-geography and offshore teams.
* Knowledge of regulatory frameworks such as GDPR, IFRS17, Solvency II.
* Experience establishing technical design authorities.
* Project management experience across agile and waterfall methodologies.

Please send me copy of your CV of you're interested

Head of AI

Type: Permanent

The Opportunity

A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity.



The Role

You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes are job‑ready, commercially relevant, and aligned to wider business goals.

You will also build and grow a global AI community, creating structured engagement and opportunities for collaboration, knowledge sharing, and mentorship. Insights from this ecosystem will directly influence learning outcomes and client-facing solutions.

As a subject matter expert, you'll support AI readiness assessments, client conversations, and AI go‑to‑market initiatives.

Key responsibilities include:

* Designing and curating AI learning pathways aligned to industry demand
* Building and nurturing a global AI practitioner and mentor community
* Supporting AI readiness frameworks and client capability assessments
* Contributing to AI go‑to‑market messaging, thought leadership, and pre‑sales activity



About You

* Background in AI, data, analytics, or related consulting / enablement roles
* Experience delivering AI learning, talent, or capability-building programmes
* Strong understanding of applied AI and GenAI trends
* Comfortable engaging senior stakeholders across technical and commercial teams



Why Apply

This is a high-impact opportunity to influence AI capability at scale within a globally connected organisation at the forefront of AI transformation.

Data Quality Analyst

A global organisation undergoing significant digital and data transformation is looking for a Data Quality Analyst to join its growing data function. This role plays a critical part in ensuring data is accurate, consistent, and trusted across enterprise reporting and analytics.

You'll work closely with business stakeholders, data engineers, and product teams to identify data quality risks early, diagnose issues at source, and embed strong governance and quality practices across data platforms.

Key Responsibilities

* Partner with business stakeholders to identify and document data quality risks and requirements
* Perform hands-on data discovery, profiling, and validation at source
* Analyse root causes of data quality issues and support remediation
* Validate source-to-target mappings, transformations, and migration scripts
* Conduct reconciliation and post-migration quality checks
* Translate business needs into measurable data quality rules and tests
* Work with engineering teams to embed quality checks into pipelines
* Support data governance standards, policies, and compliance requirements

Skills & Experience

* Strong experience in data quality, data analysis, or data governance roles
* Hands-on experience with SQL and Python
* Experience working with modern data platforms
* Knowledge of data migration, reconciliation, and quality validation
* Understanding of data pipelines and engineering best practices
* Experience producing dashboards or reports (Power BI or equivalent)

What's on Offer

* Competitive salary and bonus
* Strong pension contribution
* Private medical cover and wellbeing support
* Flexible and hybrid working
* Excellent career development and learning opportunities

Senior Data Engineering Manager - London - £110k

Please note - this is a London based role which will require you to work three days per week in the London office. To be eligible for this role you must be UK based with the unrestricted right to work in the UK - this organisation does not offer sponsorship.

My client is a global organisation operating across multiple regions, with a strong focus on using digital technology and data to improve how the business operates.

The role sits within a central Data & AI function that supports large, distributed teams and complex operational environments. It is an excellent opportunity for a senior technology leader to influence engineering delivery, improve capability, and drive consistency across platforms and teams.

This is a hybrid London‑based role, offering senior‑level responsibility, visibility, and long‑term impact.

My client is seeking a Senior Engineering Manager to provide leadership across data and low‑code engineering teams, as well as third‑party delivery partners. You will be responsible for ensuring teams operate effectively, deliver predictably, and build solutions that are robust, supportable, and aligned with organisational standards.

The role focuses on people leadership, delivery assurance, operational stability, and continuous improvement, while maintaining a strong connection to the underlying technology platforms.

Core platforms in scope include Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, and Azure DevOps.

Key responsibilities will include:

* Lead and manage globally distributed engineering teams across data platforms and low‑code solutions
* Establish clear ways of working, consistent delivery practices, and strong engineering standards
* Ensure effective sprint planning, prioritisation, and predictable delivery across multiple squads
* Partner with technology, product, and change teams to align priorities and unblock delivery
* Build internal capability through coaching, feedback, and leadership development
* Oversee vendor engineering teams, ensuring quality, alignment to standards, and effective outcomes
* Ensure stable operations by supporting service transitions and leading Level 2/3 support practices
* Drive continuous improvement across tooling, processes, and delivery practices

Required Experience:

* Extensive experience leading multi‑disciplinary engineering teams in complex environments
* Proven ability to manage multi‑vendor delivery models and mixed internal/external teams
* Strong experience establishing effective sprint rhythms and delivery governance
* Broad technical understanding across Databricks, Microsoft Fabric, Azure, Power Apps, Power Automate, SharePoint, and Azure DevOps
* Experience supporting service transitions and long‑term operational ownership
* A track record of maturing engineering functions and scaling teams sustainably
* Strong communication and stakeholder management skills, including engagement at senior levels
* Relevant Azure or data‑related certifications are desirable but not essential

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Senior Data Modeller - Hybrid role in Insurance - £90k

A global consulting enterprise is hiring a Senior Data Modeller to design, govern and evolve the data models powering their next-generation cloud data platforms.

Key Responsibilities

* Model data for modern cloud data platforms (e.g Azure, Snowflake, Databricks)
* Develop and govern Canonical Data Models, Data vault models and Dimensional models
* Working across underwriting, claims, finance, actuarial and operational teams
* Engage with senior stakeholders (Heads of Data, Underwriting, Claims, IT) to validate models and business logic
* Align models with enterprise data governance and data standards

Skills & Experience

* Experience as a Data Modeller in Insurance, specifically in the London Market
* Expertise in data-modelling techniques
* Proven experience designing models across Silver, Gold and Semantic Layers
* Advanced SQL skills for data profiling, validation and modelling support
* Strong domain knowledge of Syndicates, Delegated Authority, Reinsurance, Pricing and Claims

What they offer:

* Base Salary of £80-90k
* 15% Flex
* Up to 20% bonus

Senior data architect - Hybrid role in insurance - £90k

A global consultancy is seeking a senior data architect to take true ownership of enterprise data architecture across the London Market and Commercial Insurance space. You'll operate at enterprise level, working closely with senior stakeholders and architecture forums to define the direction of travel for data platforms, data products and AI enabled capabilities.

Key Responsibilities

* Act as design authority within architecture review boards and forums.
* Provide deep leadership across Syndicates, Delegated Authority, Reinsurance, Policy Administration and Pricing.
* Define and enable data products for underwriting, claims, portfolio management and pricing.
* Data governance, quality and master data
* Engage confidently with stakeholders

Skills & Experience

* Extensive experience in Insurance and London Market environments.
* Proven experience as a senior/enterprise/lead data architect
* Strong understandings in data modelling
* Exposure to AI/ML platforms, Generative AI and AI-enabled engineering practices.

What the Offer:

* Base Salary of £80-90k
* 15% Flex
* Up to 20% bonus

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Data Architect - Databricks (Hybrid, UK)
Locations: London, Manchester, or Edinburgh
Hybrid: 2-3 days per week on-site
Salary: Competitive (Manager & Senior Manager grades available)

About the Role
We are seeking an experienced Data Architect with deep expertise in Databricks to help our clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.
Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide the implementation of robust, secure, and scalable solutions. This is a hands-on architecture role suited to someone who has spent the last 2-3 years working directly with Databricks at an architectural level and is ready to progress towards programmes such as the Databricks DPP.

Key Responsibilities
* Architect and implement Databricks Lakehouse solutions across ingestion, processing, storage, and analytics layers.
* Recommend best practices and innovative approaches for modern data platforms.
* Build strong client relationships and confidently present architectural decisions to senior stakeholders.
* Shape client data strategies and promote governance, quality, and security standards.
* Lead architectural engagements and ensure delivery within scope, budget, and timelines.
* Optimise Databricks workloads for performance, scalability, and cost efficiency.
* Implement governance and compliance frameworks using Unity Catalog, Purview, and cloud-native controls.
* Develop CI/CD pipelines using Databricks Repos, GitHub Actions, or Azure DevOps.
* Contribute to RFI/RFP responses and deliver innovative Proofs of Concept.
* Support the internal Architecture Practice by developing reusable patterns and accelerators.

Skills & Experience
* Proven experience delivering enterprise-scale Databricks solutions end-to-end.
* Strong background in Lakehouse Architecture, including structured and unstructured data.
* Expertise in Spark, PySpark, Delta Lake, and Databricks workflows.
* Experience building scalable ETL/ELT pipelines, including Delta Live Tables.
* Strong programming skills in Python, Scala, or SQL.
* Solid understanding of data modelling (3NF, Kimball, Data Vault).
* Experience integrating Lakehouse architectures with BI tools such as Power BI and Tableau.
* Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and understanding of Databricks implications across each.
* Knowledge of Databricks security best practices (RBAC, IAM, encryption).
* Excellent communication, stakeholder engagement, and problem-solving skills.

Highly Valued Certifications
* Databricks Certified Data Engineer (Associate/Professional)
* Databricks Certified Machine Learning (Associate/Professional)
* Databricks Generative AI Fundamentals
* Databricks Lakehouse Fundamentals

Why Join Us?
* Generous annual leave and private medical insurance.
* Strong focus on wellbeing and personal development.
* A culture that rewards high performance and nurtures talent.
* Opportunities to work on impactful client projects and drive meaningful change.
* Supportive environment with investment in certifications and career progression.

Additional Information
* This role is fully signed off and part of a growing Databricks capability.
* Candidates must be willing to travel between UK offices when required.
* Suitable for individuals with strong architectural experience rather than purely engineering backgrounds.

Please can you send me a copy of your CV if you're interested

Senior Manager - Insurance | AI Delivery Lead

Engineering, AI & Data - Technology & Transformation
Location: London or Manchester - salary will vary
Contract Type: Permanent

About the Opportunity

A leading global consultancy is seeking a Senior Manager - AI Delivery Lead to support major clients in the insurance sector. This is a chance to work at the forefront of AI, data engineering, and next‑generation technology transformation, partnering with industry leaders to solve complex challenges and deliver high‑impact solutions at scale.

You'll join a collaborative community of experts focused on innovation, continuous learning, and measurable results. If you're passionate about shaping the future of AI-enabled transformation, this role offers the platform, support, and exposure to do exactly that.

What You'll Do

In this role, you will guide the delivery of cutting-edge AI and data-driven solutions. Responsibilities include:

* Working closely with clients to understand their strategic goals and design AI-driven solutions that create real business value.
* Leading multidisciplinary teams - including data scientists, engineers, developers, and analysts - throughout full project delivery.
* Managing end-to-end project lifecycle: scoping, budgeting, timelines, delivery, and stakeholder engagement.
* Bringing deep knowledge of traditional AI, Generative AI, and data science to shape high-quality, production-grade solutions.
* Ensuring ethical AI principles, data privacy, and security practices are embedded across all delivery phases.
* Staying ahead of emerging technologies and identifying where they can be applied to benefit clients.

What You'll Bring

Essential Experience

* Strong background in the insurance, financial services, or similar domain.
* Proven ability to deliver AI-enabled solutions at scale.
* Excellent project and stakeholder management capability.
* Deep understanding of AI technologies, including Generative AI.
* Experience leading diverse teams of technical and non‑technical specialists.
* Familiarity with agile delivery methodologies.

Desirable Skills

* Exposure to new and emerging AI tools and techniques.
* Confident communicator, able to translate complex concepts into compelling narratives.
* Experience designing solutions on cloud platforms.
* Knowledge of agile practices such as Scrum or Kanban.
* Data visualisation and insight storytelling skills.
* Programming experience (Python, Java, C#, etc.).

About the Team

You'll be part of an AI, Engineering & Data function focused on helping organisations reinvent their core operations. The team delivers large-scale transformations that unlock growth and improve outcomes for customers and citizens.

Colleagues describe the culture as flexible, supportive, and energised by innovation - a place where talented people come together to make an impact that matters

Please send me a copy of your CV if you meet the requirement