• Own testing activities from planning through defect resolution and release validation. • Build technical depth across SQL, databases, ETL processes, APIs, and cloud applications. • Strengthen automated testing, data profiling, traceability, and quality practices. • Support healthcare systems where accurate, secure, and dependable data matters. • Review business and technical requirements and translate them into clear test conditions, acceptance criteria, and validation strategies. • Support requirements development through stakeholder discussions, user stories, process analysis, and backlog refinement. • Build, execute, and maintain automated and manual tests using established tools and frameworks. • Develop test plans and test cases for healthcare data, applications, reports, APIs, and user interfaces. • Validate data-ingestion and ETL processes by comparing source data, transformation rules, and target outputs. • Write SQL queries and joins to investigate data quality, confirm business rules, and identify missing, duplicate, inconsistent, or unexpected records. • Perform functional, system, integration, regression, component, and performance testing. • Maintain traceability between requirements, test coverage, defects, and delivery outcomes. • Support user-acceptance testing, defect triage, root-cause analysis, and resolution. • Partner with developers, analysts, product owners, and subject-matter experts to resolve complex application and data issues. • Document test results, risks, defects, and recommendations for technical and non-technical stakeholders. • Help improve testing tools, methodologies, and automation strategies.

• Build and maintain DBT models for cross-domain analytics use cases • Create reusable facts, dimensions, and marts for analytics consumption • Support cross-domain data products such as Churn, LTV, Segmentation, and Customer Intelligence • Implement dbt tests, source freshness checks, and reconciliation logic • Translate business requirements into data models and metric logic • Support data quality checks and model validation • Document model definitions, business rules, assumptions, and lineage • Collaborate closely with analytics and domain teams to ensure datasets are fit for reporting and decision-making

JOB DESCRIPTION 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. RESPONSIBILITIES 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. 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. What you'll experience working for ULS UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe. This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits. Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com 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 #LI-IE1 #LI-remote ABOUT US A global leader in applied safety science, UL Solutions (NYSE: ULS) 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. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

• Build and own the governed semantic and metrics layer • Design and own the semantic layer that is the single source of truth for Tango's metrics • Model Tango's data on the modern warehouse • Ship embedded, customer-facing analytics on Omni • Make the data layer trustworthy for AI • Lead the Oracle BI to Omni migration, hands-on • Set the standard and level up the team • Partner across platform, product, and consumers