Director of AI & Analytics

Chambers Limited; Greater London; On-site; GBP 100,000 - 130,000; Full time

Job summary

A leading analytics firm in Greater London seeks a Director of AI & Analytics to define and lead AI strategies. In this role, you will oversee the implementation of advanced AI and analytics solutions across various teams, ensuring alignment with organizational goals. Ideal candidates will have significant experience in analytics leadership and a strong technical understanding of AI principles. The company promotes an inclusive work environment, valuing diversity and collaboration.

Benefits

Inclusive workplace

Opportunities for professional development

Qualifications

• Significant experience in senior analytics, data science or AI leadership roles.
• Proven experience with LLMs and generative AI systems.
• Strong technical understanding of machine learning and modern data architectures.

Responsibilities

• Define and own the enterprise AI and analytics strategy.
• Lead the development of AI solutions across various departments.
• Collaborate with Product and Technology teams for effective integration.

Skills

AI leadership experience

Machine learning knowledge

Statistical modeling

Stakeholder management

Analytical narrative skills

Education

Degree in quantitative discipline

Tools

Large language models (LLMs)

Generative AI technologies

Job description

Overview

The Director of AI & Analytics is a senior leadership role responsible for defining and delivering Chambers and Partners’ AI and advanced analytics strategy. Reporting to the Chief Data and AI Officer, this role will shape how advanced analytics and AI are embedded across research, products and operations, ensuring they enhance the quality, consistency and scalability of Chambers’ insights while preserving its trusted expert-led approach. This role combines strategic vision with hands‑on leadership. You will oversee multidisciplinary teams spanning data science, analytics and applied AI, translating complex business problems into scalable, ethical and high‑impact solutions. You will work closely with Research, Product, Technology, Marketing, Submissions Commercial and Sales teams to ensure insights are actionable, trusted and aligned to Chambers’ core mission. As a visible thought leader, the Director of AI & Analytics will help position Chambers at the forefront of AI‑enabled legal market intelligence and champion data‑driven decision‑making, raise analytical maturity, and enable Chambers to move faster, think deeper and deliver greater value to its global audience.

Equal Opportunity Statement

We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change.

Applicantswho identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel‑based issues and advice on expected interview topics/questions.

Main Duties and Responsibilities

• Define and own the enterprise AI and analytics strategy, aligned with Chambers business strategy and objectives and data strategy.
• Lead the development and deployment of advanced AI and analytics solutions – including machine learning, generative AI, large language models, agentic AI – across research, rankings, submissions and product innovation.
• Oversee the end‑to‑end analytics lifecycle, from data acquisition and feature engineering through to model development, validation, deployment and monitoring
• Ensure AI‑driven outputs are explainable, transparent and aligned with Chambers’ standards and reputation for independence
• Provide strategic oversight and direction on data platforms, tooling and architecture to ensure AI, analytics and BI capabilities are built on robust, scalable and well‑governed foundations.
• Partner with Research leadership to augment expert judgement with analytical insight, improving consistency, scalability and depth of research outcomes
• Collaborate with Product and Technology teams to embed AI and analytics into customer‑facing products and internal platforms
• Establish best practices for experimentation, model governance, performance measurement and ethical AI use
• Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment with Chambers standards
• Provide strategic leadership and oversight for Business Intelligence capabilities, including tool implementation, adoption and ongoing success, ensuring BI enables trusted decision making
• Support the development and monetisation of external Business Intelligence and analytics offerings, including embedded BI and data‑driven reports, enabling Chambers and Partners to deliver scalable, insight‑led products to customers
• Lead, mentor and grow high‑performing teams of AI Engineers, data scientists, analysts and BI Developers
• Act as a senior advisor to the executive team on AI opportunities, risks and trade‑offs
• Establish prioritisation frameworks and operating models to balance innovation, research integrity, risk and commercial impact across AI and analytics initiatives
• Drive analytical literacy and adoption across the organisation through education, storytelling and stakeholder engagement
• Identify opportunities to monetise insights and analytics through new products, features or services
• Partner with Legal, Security and Technology teams to ensure AI and analytics solutions comply with data privacy, security, IP and regulatory requirements
• Evaluate and manage strategic partnerships with external technology vendors, platforms and research partners to accelerate AI and analytics capability
• Represent Chambers and Partners externally as a thought leader in legal analytics, AI and market intelligence where appropriate

Skills and Experience

• Significant experience in senior analytics, data science or AI leadership roles, ideally in data‑rich or research‑driven organisations
• Proven experience designing, developing and deploying solutions using large language models (LLMs), generative AI and agentic AI systems, from early ideation and experimentation through to production deployment, monitoring and iteration
• Strong technical understanding of machine learning, statistical modelling, NLP and modern data architectures, with the ability to engage deeply while remaining business‑focused
• Proven experience delivering AI and analytics solutions at scale, from concept through to production
• Deep understanding of, model risk, bias, explainability and ethical AI principles
• Demonstrated ability to translate complex analytical concepts into clear, compelling narratives for non‑technical stakeholders
• Experience building and leading multidisciplinary teams, including hiring, mentoring and performance management
• Strong commercial acumen, with experience linking analytics to product strategy, customer value or revenue growth
• Excellent stakeholder management skills, with a track record of influencing at executive level
• Degree in a quantitative or analytical discipline (e.g. Computer Science, Mathematics, Statistics, Engineering, Economics) or equivalent practical experience

Person Specification

• Strategic, curious and forward‑thinking, with a passion for using AI and analytics to solve meaningful, real‑world problems
• Comfortable operating in ambiguity and balancing innovation with rigour and risk management
• Values transparency, fairness and evidence, and understands the importance of trust in data‑driven decision‑making
• Collaborative and inclusive leader who can bridge technical and non‑technical communities
• Pragmatic and outcome‑focused, with a strong bias toward delivery and measurable impact
• Credible and calm communicator, able to challenge constructively and build confidence in new approaches
• Motivated by building capability and leaving the organisation stronger, more intelligent and more scalable than before