Senior Manager, Data, UK

About the role

This role establishes UK data leadership inside a global personalised health organisation. You will guide a multidisciplinary team so that data supports clinical operations and market expansion. The position translates strategic intent into data driven execution across the UK market. You will own the prioritisation framework that balances commercial opportunity with technical feasibility. Success in this role hinges on your ability to communicate clearly and maintain structured thinking under steady follow through. You will act as the technical conscience of the business, ensuring solutions remain scalable and reliable. Your work will directly influence how new brands roll out and how data informs clinical decision pathways.

Key facts

What you'll do

You will set the vision for the data function and translate it into a roadmap that aligns with commercial objectives. The team will rely on you to establish an operating model that maximises capacity on the highest-value initiatives. You will coordinate with regional stakeholders to ensure delivery consistency across markets and business units. You will provide technical oversight that keeps platform decisions aligned with long term architectural integrity. You will evaluate data, machine learning, and platform choices to balance innovation with reliability. You will manage the performance of analytics and engineering teams to adapt to evolving commercial demands. You will identify risks in data pipelines and platform dependencies and drive mitigation strategies. You will mentor staff to build a multidisciplinary team that operates with clarity and accountability. You will act as the primary liaison between technical teams and senior business stakeholders. You will lead complex platform migrations that support international expansion and regulatory compliance.

Requirements

Candidates must possess 8+ years of experience spanning data engineering, machine learning, data science, or platform engineering to ensure technical depth. Demonstrated experience managing multidisciplinary technical teams for a minimum of 3+ years is required to coordinate delivery and people operations effectively. You must have hands on experience building, scaling, or leading a modern data platform in a production environment. A strong background in data engineering, machine learning engineering, or platform engineering is essential for this position. You must excel at prioritisation under ambiguity and manage competing demands while coordinating cross regional stakeholders. Superior written and verbal communication skills are required to influence both technical teams and senior business stakeholders. You must have a track record of leading complex platform migrations or large scale technology transformations. Experience with international expansion or regulated environments is expected to reduce execution risk. You should be comfortable owning end to end accountability for data products and services. The ability to mentor junior staff and foster a culture of rigorous data practice is mandatory.

Nice to have

Preference will be given to candidates with experience in health and technology fast growing environments. Knowledge of personalised care pathways and clinical operations data is advantageous. Familiarity with cloud infrastructure and migration planning supports the required architecture strategy. Experience coordinating coherent data strategies and consistent reporting across regions is valued.

Practical notes

You may request reasonable adjustments during the interview process by notifying recruiters. Typical interview steps

Hiring processes usually combine a screening conversation with one or more interview rounds. Candidates can expect questions about their experience, a scenario or case, and a chance to ask their own questions. Preparation and specific examples from past work carry the most weight. Whatever the role, preparation is visible. Reviewing the company's product, the job description, and your own past work before the conversation is the strongest step.

Good to know

Data leadership roles often span analytics, engineering, and science inside fast growing health and technology organisations. Modern data platforms commonly support personalised care pathways and clinical operations at scale. Cloud infrastructure, migration planning, and cross regional coordination typically enable coherent data strategies and consistent reporting.

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Careers in this field grow through a mix of experience, responsibility, and demonstrated results. Early years build skills; later years build ownership. Many professionals switch focus areas or companies to keep growing. Growth in any career comes from scope, results, and reputation. Take on work that is slightly uncomfortable, and make sure others can see the outcomes.