Ph3Transformation Delivery Lead (Hybrid; m/f/x/d; 80-100%) /h3 pJoin us in shaping how a global Life Health reinsurance leader bring AI to life at scale. You’ll help turn strategy into real business results by driving the end-to-end delivery of practical solutions that improve performance, support innovation, and make a meaningful difference across the business. /p h3About the Role /h3 pAs our Delivery Lead, Business Enablement, you will sit at the intersection of business transformation, delivery execution, and technology enablement to bring AI use cases from idea to scaled operational adoption. You will partner with business leaders, product owners, and operational teams to develop delivery plans, drive execution, and embed solutions effectively into core business processes. /p pThis role offers a unique opportunity to turn LH Re's AI ambition into measurable value, through disciplined delivery, strong stakeholder alignment, and practical adoption across global markets. /p h3Key Responsibilities /h3 ul libLead end-to-end AI delivery /b across a portfolio of use cases, taking initiatives from prioritisation and discovery through MVP, production rollout, and value realisation while ensuring alignment to business objectives, timelines, and quality expectations /li libTranslate business needs into executable delivery plans /b by shaping scope, defining user stories and acceptance criteria, sequencing work into deliverable increments, and maintaining a clear backlog that balances value, feasibility, and risk /li libCoordinate cross-functional delivery teams /b across business, data, engineering, architecture, security, risk, and operations to ensure AI solutions are integrated effectively into target processes and are ready for scaled adoption /li libEnsure production readiness and responsible delivery /b by partnering with technical teams to address testing, controls, model lifecycle considerations, data quality, security, supportability, and regulatory expectations relevant to AI-enabled solutions /li libDrive business adoption and measurable outcomes /b by supporting user testing, rollout planning, training, feedback loops, and post-launch optimisation, with a strong focus on realised benefits, operational improvement, and sustainable ways of working /li libBuild delivery capability and delivery standards /b by embedding reusable playbooks, agile delivery disciplines, documentation standards, and lessons learned that improve execution quality across future AI initiatives /li /ul h3About the Team /h3 pThe Operating Model Transformation team drives the redesign of how LH Re operates in an AI-enabled future. We bring together business change, process redesign, data and technology, and change delivery to turn strategy into practical, scalable ways of working. /p pThe team works across functions and markets to accelerate adoption of AI-powered capabilities and establish new ways of working that improve client outcomes, operational efficiency, and decision quality. /p h3About You /h3 pYou are a pragmatic transformation professional who excels at translating multifaceted business needs into actionable delivery plans for AI-powered solutions. You thrive in cross-functional environments, seamlessly coordinating between business stakeholders, technical teams, and operational experts to ensure effective integration and scalable adoption of AI initiatives. You enjoy tackling complex delivery challenges and take pride in shaping solutions that deliver measurable business value and enable operational improvement. /p h3We are looking for candidates who meet these requirements: /h3 ul li5+ years of experience in delivery leadership, product delivery, programme management, business analysis, or a similar role, ideally gained in insurance, reinsurance, financial services, consulting, or another regulated environment /li liStrong understanding of AI and digital delivery lifecycles, including how to take use cases from discovery and MVP through implementation, rollout, adoption, and ongoing optimisation in an enterprise setting /li liProven ability to turn ambiguous business problems into structured delivery plans, clear requirements, prioritised backlogs, realistic milestones, and measurable success criteria /li liStrong stakeholder management, communication, and facilitation skills, with the ability to work credibly across senior business leaders, product owners, architects, engineers, and operational teams /li liProven track record of managing risks, dependencies, and delivery trade-offs in complex cross-functional programmes, while maintaining momentum, transparency, and high-quality execution /li liExperience in Life Health insurance or reinsurance, with a practical understanding of core value chain activities and how AI-enabled solutions can improve workflow efficiency, decision quality, and client outcomes /li liExperience delivering AI, analytics, automation, or digital transformation initiatives, including coordination of pilots, MVPs, and scaled rollout in partnership with technical and business teams /li liFamiliarity with agile delivery methods, product ownership practices, and delivery tooling such as Jira, Azure DevOps, or equivalent platforms used to manage backlog, progress, and dependencies /li liFamiliarity with data governance, model risk, privacy, security, and regulatory considerations relevant to AI delivery in financial services, and the ability to reflect these in delivery planning and execution /li liProfessional certification or training in agile delivery, project or product management, change management, or related disciplines such as Scrum, SAFe, PMP, PRINCE2, or equivalent /li liComfort working in fast-evolving environments where AI capabilities, business priorities, and governance expectations are developing rapidly, with the adaptability to refine plans and delivery approaches as needed /li /ul pOur company has a hybrid work model where the expectation is that you will be in the office at least three days per week /p pFor Switzerland, the base salary range for this position is between (126'000 CHF) and (188'00, CHF) for a full-time role. /p pThe specific salary offered considers: /p ul lithe requirements, scope, complexity and responsibilities of the role /li lithe applicant's own profile including education/qualifications, expertise, specialisation, skills and experience /li /ul pIn the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range. In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based annual bonus. /p h3About Swiss Re /h3 pSwiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property Casualty and Life Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. /p pWe may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying. /p pStart your career journey with Swiss Re. /p /p #J-18808-Ljbffr