Enabling AI Delivery Lead - Property & Casualty Operations / Business Excellence

Are you passionate about translating business strategy into measurable outcomes? Do you enjoy bridging the worlds of business, data and AI to deliver real impact? Do you thrive in complex, cross-functional environments where you can influence senior leaders and accelerate execution?

If yes, join our Property & Casualty Reinsurance Enabling team and play a pivotal role in shaping the future of AI adoption in the (re)insurance industry. As our Enabling AI Delivery Lead, you will be responsible for steering business value realization across our AI initiatives, ensuring strong alignment between strategic priorities, user needs, and technical capabilities.

This role partners closely with the other Enabling Leads and requires gravitas, credibility, and technical fluency to engage as a peer with senior business and technology stakeholders.

About the Role

As the Enabling AI Delivery Lead, you will own business-side delivery and value realization of AI initiatives, ensuring commercial, operational, and strategic outcomes. You will ensure cohesive delivery across products and operational workstreams and lead the business-side activation of AI solutions, including change management, training, communication, and adoption at scale.

You will shape our AI capability foundation, contributing to strategic decisions on tooling, governance, standards, and operating models. Additionally, you will translate business needs into clear, actionable requirements, shaping solution scope and prioritization in close collaboration with Business and Tech teams. You will partner with Data & Tech on building repeatable AI delivery foundations, including data readiness, MLOps/LLMOps pipelines, and continuous model monitoring.

Your role involves shaping investment and prioritization decisions for AI initiatives, making go/no-go recommendations based on business value and feasibility. Finally, you will engage credibly and operate at eye level with senior leaders fostering alignment and driving decision-making across the P&C Data & Tech program.

Key Responsibilities

• Lead a portfolio of AI initiatives across P&C Re Claims and Operations, each with clear value cases, success metrics, and measurable business outcomes.
• Define and embed enterprise AI delivery standards in partnership with D&T, including lifecycle processes, monitoring, and model risk controls.
• Drive adoption at scale, ensuring deployed AI capabilities become part of standard business operations across global teams.
• Define business requirements, success metrics, and acceptance criteria aligned with strategic priorities and monitor benefits realization and overall business outcomes.
• Partner with the D&T AI Product Delivery Lead to orchestrate cross-functional execution across business, engineering, data science, and product teams.
• Drive clarity, alignment, and momentum across cross-functional teams, removing blockers and ensuring timely decision-making.
• Engage directly with senior stakeholders as a trusted advisor, influencing decisions and ensuring accountability.

About the Team

Enabling is part of Business Excellence (bX) in P&C Re Operations. Our mission is to make P&C Re run simpler, faster and smarter by aligning global processes end‑to‑end and embedding data & technology where they move the needle most. We operate as a trusted consulting partner to Operations, supporting Claims Management, Business Operations, and In‑Force Management and we routinely interface between business stakeholders and Data & Tech partners.

With a 50+ person global team, we build future‑ready capabilities: robust data foundations & governance, analytics that drive decisions, digitization & automation across the full P&C reinsurance value chain, and AI solutions that deliver tangible business outcomes. If you want to shape how a leading reinsurer executes, connecting business priorities with scalable tech and measurable impact - this is the team for you.

About You

To succeed in this role, you bring a unique blend of business leadership, technical understanding, and delivery excellence.

You have:

• Technically fluent leader, experienced with modern AI technologies including GenAI and large language models, and an understanding of their technical and operational implications.
• Delivery excellence champion with mastery of project/program methodologies, and a track record of keeping multi-workstream initiatives on time, on scope, and on budget.
• Proven leadership experience guiding cross-functional teams
• Gravitas paired with excellent communication skills enabling you to drive clarity, alignment, and momentum across teams and functions.
• Degree in Information Technology, Mathematics, Statistics, Data- or Actuarial Science, or related quantitative fields. Insurance or P&C reinsurance knowledge is a significant advantage.
• Deep business acumen and the ability to translate between technical, operational, and strategic contexts - particularly across Underwriting, Claims, Operations, Finance, Risk and IT.
• Change and adoption driver with deep experience embedding new capabilities, leading business readiness and training, and ensuring that program outcomes translate into sustainable value realization.
• A forward-looking mindset, a passionate AI someone energized by emerging technologies (including GenAI) driven to turn innovation into real business impact.
• Strong understanding of digital and AI product lifecycles, business case development, and value realization.
• Knowledge of enterprise AI platforms, data pipelines, and MLOps/LLMOps practices is a strong plus.

For 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

• the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience

In 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.

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week