At a Glance
- Tasks: Lead and develop global teams in Data and AI to deliver innovative solutions.
- Company: Join UL Solutions, a leader in safety science with a global impact.
- Benefits: Enjoy competitive salary, annual bonus, flexible work, and continuous learning opportunities.
- Other info: Remote role with diverse teams across multiple regions and excellent career growth.
- Why this job: Make a real difference in creating a safer, sustainable world through technology.
- Qualifications: Strong leadership in Data, AI, and software delivery; experience in Agile environments.
The predicted salary is between 72000 - 88000 £ per year.
The Data and AI Solutions Group Lead is responsible for leading and developing one or more globally distributed teams of Data and AI professionals focused on delivering innovative solutions that create business value across UL Solutions. This is a remote leadership opportunity that can be based in Ireland, UK, Spain, Netherlands or Poland. The role oversees team members across multiple geographic regions and time zones, including the Americas and Europe.
As a people-first leader, you will be accountable for building high-performing teams, developing talent, fostering a culture of trust and accountability, and enabling teams to operate with a high degree of autonomy. You will partner closely with Product, Engineering, and business stakeholders to translate strategic objectives into practical delivery outcomes while ensuring teams continue to grow in capability, maturity, and impact.
The ideal candidate combines strong leadership experience with a solid understanding of Data, AI, and software delivery practices, and has a proven ability to develop people, align stakeholders, and drive sustainable team performance.
A global leader in applied safety science, UL Solutions transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, or a related technical field.
- Proven experience leading and developing technical teams within Data, AI, Machine Learning, Analytics, or Software Engineering environments.
- Demonstrated success managing people, coaching team members, and building high-performing teams.
- Experience leading teams operating in Agile, Lean, or comparable delivery frameworks.
- Experience delivering Data and AI solutions in production environments.
- Strong leadership, communication, stakeholder management, and organizational skills.
- Ability to lead geographically distributed teams across multiple regions and time zones.
- Experience establishing delivery processes, tracking performance metrics, and driving operational improvements.
- Strong problem-solving and decision-making skills with the ability to balance technical, business, and people considerations.
- Experience working with data platforms, machine learning workflows, and modern software development practices.
- Experience with Document Intelligence, AI-powered automation, Agentic AI solutions, DevOps, MLOps, and Responsible AI practices.
Preferred Qualifications:
- Previous experience leading managers, team leads, or highly autonomous technical teams.
- Experience scaling organizations through periods of growth and organizational transformation.
- Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline.
- Experience working within globally distributed organizations and collaborating with international stakeholders.
Total Rewards: We understand that rewards are an important consideration as you plan the next step in your career. Salary range varies by location and local market conditions. It is based on multiple factors, including job-related knowledge/skills, experience, geographical location, and other factors. This position is eligible for an annual bonus with a target payout of 10% of base salary. You’ll also enjoy annual paid leave, access to our ULS University to support continuous learning and career development, two volunteering days each year to participate in community activities, and flexible working arrangements designed to help you balance work and life.
Team Leadership & Talent Development:
- Lead, coach, and develop a diverse team of AI specialists, data professionals, engineers, and scientists.
- Foster an inclusive, collaborative, and high-trust culture focused on engagement, accountability, and continuous learning.
- Support team members through ongoing coaching, performance management, career development planning, and regular feedback.
- Create an environment where teams are empowered to make decisions, solve problems independently, and deliver results with minimal day-to-day intervention.
- Identify succession planning and growth opportunities for team members while building long-term organizational capability.
- Recruit, onboard, and develop talent aligned with both immediate business needs and long-term strategic objectives.
Delivery & Operational Excellence:
- Partner with Product and Engineering leaders to establish priorities, roadmaps, delivery objectives, and success metrics.
- Drive predictable and sustainable delivery through effective planning, prioritization, risk management, and execution practices.
- Maintain clear management systems, delivery processes, and reporting mechanisms to provide transparency and support decision-making.
- Monitor and improve team performance through delivery metrics, operational insights, and continuous improvement initiatives.
- Remove organizational impediments and proactively address risks that may impact execution or team effectiveness.
Stakeholder & Organizational Leadership:
- Collaborate with cross-functional stakeholders to align priorities, dependencies, and strategic initiatives.
- Translate business strategy into actionable short- and medium-term plans that balance people, product, and delivery considerations.
- Facilitate effective communication across geographically distributed teams and leadership groups.
- Support organizational change initiatives and help scale operational best practices across the Data and AI organization.
- Contribute to leadership discussions regarding team structure, talent planning, organizational maturity, and department-wide initiatives.
AI, Data & Technology Leadership:
- Provide leadership guidance for the development and delivery of Data and AI solutions in production environments.
- Ensure teams follow responsible AI practices, data governance standards, and quality assurance processes.
- Promote modern engineering practices, scalable architecture principles, and continuous improvement in technical delivery.
- Guide teams working on AI-enabled solutions including machine learning, document intelligence, agentic workflows, data platforms, and automation technologies.
Applicants must have the right to work in the UK at the time of application. Unfortunately, we are not able to support visa applications or future sponsorship for this position.
Data Analytics & AI Solutions Group Leader in Basingstoke employer: UL Company
UL Solutions is an exceptional employer that prioritises employee growth and collaboration, making it an ideal workplace for a Technical Support Specialist. With a strong commitment to safety and sustainability, employees are encouraged to innovate and contribute ideas in a supportive environment, while also benefiting from opportunities to work with a diverse global customer base. The company's focus on continuous improvement and professional development ensures that team members can thrive in their roles and advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics & AI Solutions Group Leader in Basingstoke
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UL Company!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analytics & AI Solutions Group Leader at UL Company.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UL Company.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics & AI Solutions Group Leader at UL Company, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analytics & AI Solutions Group Leader in Basingstoke
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UL Company, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UL Company. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UL Company
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UL Company!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
