PpJoin 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 liLead end-to-end AI delivery 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 liTranslate business needs into executable delivery plans 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 liCoordinate cross‑functional delivery teams 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 liEnsure production readiness and responsible delivery 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 liDrive business adoption and measurable outcomes 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 liBuild delivery capability and delivery standards by embedding reusable playbooks, agile delivery disciplines, documentation standards, and lessons learned that improve execution quality across future AI initiatives /li /ul 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 /ul h3Additional Desirable Qualifications /h3 ul 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 188,000 CHF for a full‑time role. The specific salary offered considers the requirements, scope, complexity and responsibilities of the role, and the applicant’s own profile including education, qualifications, expertise, specialisation, skills and experience. You may be eligible for additional rewards and benefits, including an attractive performance‑based annual bonus. /p pWe are an inclusive workplace that encourages fresh perspectives and innovative thinking. Everyone has equal opportunities to thrive and develop professionally regardless of age, gender, race, ethnicity, gender identity, sexual orientation, physical or mental ability, skillset, or other characteristics. We welcome experienced professionals returning to the workforce after a career break to apply for open positions that match their skills and experience. /p /p #J-18808-Ljbffr