Senior Manager or Director, Data & AI Delivery Lead (Life Sciences & Health)

About the company: The company is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.

The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value the company’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters most.

The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, the company has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms.

Our Data, AI, Solutions & Engineering (DAISE) practice are looking for an experienced Data & AI Delivery Lead in Life Sciences & Health to support the interlock between DAISE and the Life Sciences & Health industry sector at the company. Our DAISE practice consists of over 100 UK and nearshore data professionals, with deep expertise across data strategy, data science, governance engineering. We focus on delivering value-adding, sustainable data and AI capabilities aligned to our clients’ needs.

This senior role will sit within DAISE and work closely with the company’s Life Sciences and Health industry teams, helping sectors translate market priorities into data, analytics and AI opportunities, build senior client relationships, shape pipelines across key accounts, and lead the successful delivery of DAISE engagements.

What you will be doing:

• You’ll own the delivery of large-scale data and AI programmes within Life Sciences & Health, bringing together multidisciplinary DAISE teams across data strategy, analytics, AI, engineering, architecture, governance and industry SMEs to deliver work that creates meaningful, lasting outcomes for our clients.
• You’ll be accountable for growing and delivering DAISE’s Data and AI services within Life Sciences & Health, working with the DAISE interlock partner, sector GTM and account teams to build pipeline, shape opportunities and deliver high-quality client engagements.
• You’ll provide commercial leadership across Life Sciences & Health, owning proposals, statements of work, delivery commercials and team shaping, while working with industry teams to originate, qualify and build a strong pipeline of DAISE opportunities.
• You’ll act as the day-to-day interlock between DAISE and Life Sciences & Health teams, connecting sector ambition with DAISE capability and shaping expertise in both directions.
• You’ll help embed data, analytics and AI thinking into sector priorities, propositions and client conversations, while bringing market insight, client needs and delivery learnings back into DAISE to strengthen our services, assets and future propositions.
• You’ll build trusted relationships with senior clients across Life Sciences & Health and within the company, raising DAISE’s profile through sector conversations, client engagement, client events and industry conferences, and shaping data and AI opportunities that respond to market priorities and create measurable client value.
• You’ll help develop sector-specific data and AI propositions, products and reusable assets that respond to market needs and strengthen how DAISE goes to market in Life Sciences & Health.
• You’ll help develop and deliver Life Sciences and Health risk and compliance projects, including data controls and monitoring and developing data protection or AI governance frameworks, policies and operating models.

Your skills and experience:

• You’ll have led or supported delivery of data and AI engagements that improve patient, citizen, clinical, scientific or operational outcomes, such as population health analytics, medicines optimisation, clinical and operational data platforms, interoperability and data standards, AI assurance and clinical safety, research and real-world evidence, service capacity planning, or digital health transformation across health, care, life sciences or pharma organisations.
• You’ll bring 10+ years of consulting experience in Life Sciences & Health, with the credibility to build long‑term, trusted relationships with senior clients up to and including C‑suite level, and the ability to align senior clients, sector leaders, account teams and multidisciplinary delivery teams around a shared agenda.
• You’ll bring experience leading large teams through complex data and AI programmes, with clear ownership of delivery quality, governance, risk management, team performance and client outcomes.
• You’ll be a lifelong learner, able to demonstrate a clear drive to keep developing your skills and stay current in a fast-moving AI landscape.
• You’ll be passionate, entrepreneurial and excited by how data can solve complex client problems.
• You’ll lead from the front and role model the behaviours you expect from your team, mentoring and supporting junior colleagues as they develop their careers.
• You’ll have a track record of account growth, sales support, opportunity shaping and programme delivery, with strong commercial acumen across propositions, team shaping, delivery risks, margin and client value.
• You’ll have deep expertise across data, analytics and AI strategy.