AI Strategy & Enablement Manager (m/f/d)*

Munich Re; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid working

Competitive salary

Retirement provision

Health management

Career mobility

Diversity & Inclusion

Zusammenfassung

Munich Re seeks a senior adviser to drive AI adoption and governance, enabling Ambition 2030. You will shape AI enablement, lead change interventions, and develop impactful experiences for critical roles and moments across the organization.

You will partner with peers and leadership to implement AI strategy, design executive artifacts, and organize events that accelerate adoption of Data & AI capabilities globally.

Qualifikationen

• University degree in data science, statistics, stochastics, information technology, or an equivalent area of studies.
• Professional experience in change management of processes, designing and conducting trainings.
• Professional experience in (strategy) consulting.
• Know-How about AI agents, GenAI, Machine Learning and Data Analytics approaches and applications in (re)insurance.
• Experience in organizing events is a plus.

Aufgaben

• Supports the further development and implementation of the AI strategy enabling Ambition 2030.
• Supports the design, implementation, rollout of the Data & AI Academy2.0, including conducting trainings and reporting of success metrics of AI adoption.
• Organizes or co-organize internal awareness, change and activation events and sessions for users, e.g. AI townhalls and AI in action day.
• Supports the management of the global Data Analytics & AI community including the organization of knowledge sharing sessions and exchanges for developers, the organization of the biannual Data & AI conference.
• Supports the establishment and management of the AI champion community.
• Develops executive-ready change and activation artifacts (e.g., presentations, frameworks, guidance) and uses data and storytelling to influence decisions and align stakeholders
• Synthesizes learnings, gaps, and feedback from internal experiences to inform enablement, change recommendations, and future-state ways of working
• Collaborates with adjacent teams in AI enablement related matters in order to achieve most efficient value-add
• Provides advisory to colleagues on AI enablement related matters
• Defines success measures and performance metrics, recommending course corrections, and connecting outcomes to business impact for AI enablement initiatives and measures

Kenntnisse

Change management

Training design

Strategy consulting

AI/GenAI/ML knowledge

Stakeholder management

Event organization

Ausbildung

University degree in data science / statistics / IT

Jobbeschreibung

The Data and Analytics division is Munich Re's hub for Data, Analytics and AI. It drives Munich Re’s Data and AI strategy, is responsible for the key enablers data, skills, governance and technology, and coordinates Data, Analytics and AI projects to create value for our core business.

The Central Analytics department drives strategic initiatives in Data Analytics & AI, enables business & central functions through training and technology, supports Data Analytics & AI (use cases), and further develops the Insurance Analytics Platform that provides scalable Data Analytics & AI solutions according to the needs of our core business.

The AI Governance and Strategy section is responsible for the tasks of AI adoption and AI enablement, supports the further development of the AI strategy, owns the Data & AI Academy, for the RI and Specialty Group, and acts as a 1st line function for AI Governance.

This role focuses on advising and practicing change in the age of AI. The individual will work with peers and leadership to enable the organization and hence foster AI adoption inline with Ambition 2030 - developing change interventions and impactful experiences for critical roles, functions, and moments that matter - as data & AI transforms how work is done across Munich Re. The individual will also support the further development and implementation of the AI strategy.

Your Job

• Supports the further development and implementation of the AI strategy enabling Ambition 2030
• Supports the design, implementation, rollout of the Data & AI Academy2.0, including conducting trainings and reporting of success metrics of AI adoption
• Organizes or co-organize internal awareness, change and activation events and sessions for users, e.g. AI townhalls and AI in action day
• Supports the management of the global Data Analytics & AI community including the organization of knowledge sharing sessions and exchanges for developers, the organization of the biannual Data & AI conference
• Supports the establishment and management of the AI champion community
• Develops executive-ready change and activation artifacts (e.g., presentations, frameworks, guidance) and uses data and storytelling to influence decisions and align stakeholders
• Synthesizes learnings, gaps, and feedback from internal experiences to inform enablement, change recommendations, and future-state ways of working
• Collaborates with adjacent teams in AI enablement related matters in order to achieve most efficient value-add
• Provides advisory to colleagues on AI enablement related matters
• Defines success measures and performance metrics, recommending course corrections, and connecting outcomes to business impact for AI enablement initiatives and measures

Your Profile

• University degree in data science, statistics, stochastics, information technology, or an equivalent area of studies
• Professional experience in change management of processes, designing and conducting trainings
• Professional experience in (strategy) consulting
• Know-How about AI agents, GenAI, Machine Learning and Data Analytics approaches and applications in (re)insurance
• Experience in organizing events is a plus
• Project experience in a complex stakeholder environment; knowledge of the concrete Munich Re context is a plus
• Self-responsible, proactive working style, service and consulting orientation, agile flexible mindset, ability to prioritize according to management expectations
• Excellent command of English; knowledge of German is a plus

About Us

As the world's leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel. Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. Sounds like you? Push boundaries with us and be part of Munich Re.

Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.

Unlock your potential

• Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
• Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
• Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Rewards & Recognition

• Competitive salary: appropriate compensation for your high level of commitment.
• Retirement provision: state of the art in-house pension solutions.
• Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.
• Health management: focus on your physical and mental health far beyond legal requirements.
• Hybrid working: living the best of both worlds – we offer you a very flexible approach as well as the opportunity to work from abroad on an occasional basis.
• Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.