The workforce AI Enablement Specialist will play a role in translating emerging AI technologies into practical opportunities for SCOR. This includes monitoring AI market trends, identifying relevant innovations, evaluating new AI solutions against SCOR’s business needs, strategic priorities, governance framework, security requirements, and responsible AI guidelines, and supporting the onboarding of selected solutions from assessment through adoption readiness.
A major focus of the role will be to support employees and business teams in their AI adoption journey. The workforce AI Enablement Specialist will contribute to change management and enablement activities by developing guidance, best practices, training content, and coaching sessions tailored to different user groups and levels of AI maturity.
This role will help employees understand how to use AI tools effectively, including through prompting, agentic AI use cases, and responsible usage principles, while also collecting feedback and identifying opportunities to improve adoption and user experience.
Overall, this role contributes to ensuring that SCOR remains aware of, prepared for, and able to benefit from the rapidly evolving AI landscape. It supports the organization in scaling AI usage responsibly, increasing workforce productivity, and turning AI innovation into practical, compliant, and sustainable business value.
The role will report to the Head of Workforce AI Delivery to align AI awareness, adoption, onboarding, and enablement activities with SCOR’s Workforce AI roadmap, strategic priorities, delivery framework, and governance requirements.
ResponsibilitiesAI Market Watch & Technology Intelligence
- Monitor AI market trends, emerging technologies, vendors, and industry best practices.
- Identify opportunities for new AI use cases, solutions, and strategic partnerships.
- Assess the potential business impact of emerging AI technologies.
- Maintain awareness of regulatory, ethical, and governance developments related to AI.
Solution Onboarding Analysis and Adoption Support
- Evaluate new AI solutions and assess their business relevance, usability, risks, and expected benefits.
- Support solution onboarding processes from evaluation through deployment readiness.
- Identify user needs, adoption barriers, and improvement opportunities.
- Develop recommendations for solution rollout and change management.
User Support and AI Adoption Enablement
- Act as a primary point of contact for AI solution users.
- Provide guidance on best practices, use cases, and effective AI utilization (prompting and agentic).
- Support troubleshooting and issue escalation processes.
- Promote responsible and compliant AI usage.
Coaching, Training & Awareness Sessions
- Design and deliver AI awareness and coaching programs.
- Conduct workshops, demonstrations, and hands-on learning sessions.
- Develop learning materials tailored to different user groups and maturity levels.
Support leadership and teams in understanding AI opportunities and limitations.
AI Capability Communication and News Reporting
- Communicate new AI capabilities, platform enhancements, and innovation opportunities.
- Translate technical developments into business-relevant memos.
- Prepare regular updates for stakeholders and end users.
- Maintain communication channels dedicated to AI innovation and awareness.
Required experience and competencies
- At least 5 years’ experience in Tech or AI / Machine learning Engineering
- Deep adoption of AI technologies (GenAI coding assistant, agent design, etc.)
- Confirmed experience in training / coaching on AI subjects
- Ability to translate enterprise AI strategy into practical AI solution landscape.
- Solid understanding of prompt engineering, workflows and emerging agentic AI concepts in order to provide basic support to the end-users.
- Ability to assess off-the-shelf AI tools from business, adoption, security and risk perspectives.
- Understanding of a global reinsurance company and domains such as L&H, P&C, Risk, Finance, Operations, Legal and Compliance is a plus.
Soft skills
- Can communicate clearly and effectively with both technical and non-technical audiences, translating AI concepts into practical business language.
- Can animate communities of users, champions, and stakeholders to promote engagement, knowledge sharing, and adoption.
- Can design and deliver training, coaching, and awareness sessions tailored to different audiences and maturity levels.
- Can support employees in building confidence and capability in the effective and responsible use of AI solutions.
- Can conduct research and analysis on specific topics to deliver synthetic input for decision makers.
- Can adapt his/her speech to make relevant for business users
- Can support in producing client-facing presentations or material
Business acumen
- Can adapt his/her speech to make relevant for business users
- Can support in producing client-facing presentations or material
Education
- Master’s degree (Ph. D. is a plus) in Science, Technology, Engineering, Mathematics, Computer Science, Actuarial or similar quantitative field
- Bachelor’s degree plus ASA or similar work experience is accepted in place of a relevant Master’s degree.
About Us
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Skills Required
- At least 5 years of experience in technology or AI and machine learning engineering
- Deep hands-on adoption of AI technologies, including generative AI coding assistants and agent design
- Confirmed experience training or coaching others on AI subjects
- Ability to translate enterprise AI strategy into a practical AI solution landscape
- Solid understanding of prompt engineering, AI workflows, and emerging agentic AI concepts
- Ability to assess off-the-shelf AI tools from business, adoption, security, and risk perspectives
- Master's degree in a STEM, computer science, actuarial, or similar quantitative field
- Bachelor's degree plus ASA or similar work experience may substitute for a relevant master's degree
- Understanding of global reinsurance and domains such as life and health, property and casualty, risk, finance, operations, legal, and compliance
- PhD in a relevant field
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
