Data & AI Business Adoption Lead


Job Description
The Group Data Analytics & AI Strategy, Governance and Methods function’s role is to set the Group-wide Data, Analytics & AI vision and plan, establish common frameworks and standards, increase awareness, support capability building and stimulate value creation and alignment with Generali Group business strategy.
The Data & AI Business Adoption Lead is the interface between Generali Business Units and the Group Data, Analytics & AI Strategy team and is responsible for identifying new opportunities for Data & AI solutions applications, stimulating demand, and constantly monitoring the implementation of the Data, Analytics & AI strategy including the tracking of economic benefits generated.

Main tasks:

  • Support benchmarking and outside-in analysis to fully understand industry and technology trends as well as market dynamics, driving conversations with Business Units aimed at promoting Data & AI adoption at local level
  • Collaborate with all Business Units (Europe, Asia, Latin America) to generate demand for Data & AI global products and services (custom analytics, reporting/ BI/ dashboarding, image analytics, generative AI, …)
  • Use domain-specific understanding, translate unstructured, complex business problems into the appropriate data/ AI use cases and analytical solutions across multiple business areas (pricing, claims, operations, marketing, retail/ SME, …)
  • Partners with business departmental teams to define and document business requirements for new systems and process leveraging AI
  • Elicits requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis
  • Define in agreement with Group and/ or local stakeholders the overall project plan, including scoping documents, business case setup, kick off meetings and periodic governance (sprint reviews, steerco, …)
  • Monitor Group Data, Analytics & AI strategy implementation across Business Units – including value capturing progress, and identify corrective actions when needed
  • Provide regular reports and updates to management, communicating effectively in a structured and concise manner

Our ideal candidate will meet the following requirements:

  • Master degree in scientific disciplines and/ or economics (Business, Finance, Operations Research, Management Engineering or related area)
  • At least 1 year experience in a similar role
  • Advanced knowledge of MS Office (Powerpoint, Excel, …)
  • Fluent English
  • Solid planning, priority setting, and project management skills with experience managing multiple projects and resources

Nice to have

  • Understanding of the insurance industry (property & casualty, life, and accident & health) with a focus on key financial metrics like loss ratios, combined ratios, retention rates, and technical margins, etc.
  • Experience in data analytics, business intelligence, or a related field within the insurance or financial services industry, to ensure a deep understanding of the specific challenges and opportunities for business
  • Knowledge of business process design/ improvement methodologies and how these can be supported by using data and analytics to drive business performances