Lead Data & AI Governance

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Data is at the core of SCOR strategic plan Forward 2026 as one of its four enablers. The Data and Analytics Office (DAO) headed by the Group Chief Data & Analytics Officer is the unit responsible for the definition of the Data Strategy and its successful execution across the organization, through a well-governed data foundation, impactful data products and state-of-the-art advanced analytics / A.I. capabilities.

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.

SCOR vision consist of data sharing as a core principle, alongside responsibility as a differentiating value, as DAO commits to ensure privacy, security and sustainability by design for all data products.

The DAO team, international and multi-cultural, mixes all skills (business, design, product, governance, engineering, analytics, AI) to make SCOR the reinsurer of tomorrow. Within the DAO, the Data Strategy & Governance team is at the forefront of the unit, interfacing business units and other parts of the organization with execution and delivery. It is responsible for driving SCOR data strategy (in full alignment with SCOR business strategy) and for ensuring its ownership lies within the business.

Influential member of the Data Strategy & Governance team, the Lead Data Governance will assume ownership of the data governance framework and leads its operationalization. Having developed a very good understanding of the data strategy for each business area of the company (e.g., Property and Casualty, Life & Health, Investments) as well as for the rest of the Group (Finance, Risk, Operations), she.he will work closely with all relevant business stakeholders, as well as data teams, to establish trust in underlying data assets backing the strategy. She.he will also manage the transition towards self-service data, ultimate step of SCOR data strategy towards 2026.

In the frame of the ongoing transformation at Group level, data is at the core of SCOR strategic plan Forward 2026. As one of the four enables to achieve it, SCOR data strategy (Convergence 26) plays a crucial part, and needs to be continuously adapted to achieve successfully this plan.In the frame of the ongoing transformation at Group level, data is at the core of SCOR strategic plan Forward 2026. As one of the four enablers to achieve it, SCOR data strategy plays a crucial part, and needs to be continuously adapted to achieve successfully this plan.

The Lead Data & AI Governance plays a pivotal role to align business initiatives with SCOR data strategy, through:- Ownership of the data & AI governance frameworks- Strategic engagement of relevant business stakeholders - vertically and horizontally- Leadership in executing the framework- Preparation for and deployment of self-service

Key duties and responsibilities

1.Ownership of data & AI governance frameworks:

• Expand the data governance framework, including development of new responsibilities and processes, to make sure it serves its business purposes and establishes trust in the data on a permanent basis
• Ensure the framework developments are built with, advertised to and adopted by its stakeholders (data stewards, custodians, DPO etc.)
• On the AI side, lead the design of the AI governance framework, with the implementation of the EU AI Act and subsequent AI regulations, in tight collaboration with the AI, IT and compliance teams

2.Strategic engagement of relevant business stakeholders:

• Alignment of senior stakeholders across the organization (e.g., business process owners) to validate and activate data stewards in sync with the roll out of SCOR data foundations
• Lead the necessary change management effort, including identification and support of data stewards
• Ensure ownership of quality metrics lies within business stakeholders, in alignment with business processes
• Lead the set-up of the data quality remediation mechanisms, in collaboration with all relevant senior stakeholders, on the business and IT sides

3.Leadership in executing the data governance framework:

• Lead the operationalization of all pillars of the data governance framework, including quality, in strong collaboration with the data foundation team
• Manage the development of tooling required for operationalization, including data platform developments
• Collaborate with all relevant stakeholders, inc. Data Protection Officer, Chief Information Security Officer, to establish through corresponding policies and guidelines, and operationalize the protection of SCOR data assets
• Co-lead the set-up of the MDM framework across the organization, in strong collaboration with IT architecture, data foundation and data platform teams

4.Preparation for and deployment of self-service:

• Collaborate with technical leads, business stakeholders to define the self-service requirements (inc. governance, technical) for targeted deployment on specific segments and functions
• Co-lead the scaled deployment of the self-service framework across the organization, in collaboration with the data foundation team

Required experience & competencies

• Excellent command of data governance & data quality practices, as well as master data management
• Superior communication and interpersonal skills, ability to interact with very senior stakeholders
• Ability to understand business processes across multiple activities
• Good technical data knowledge (infrastructure, modeling etc.)
• Previous experience in a data governance / data management role
• Experience in Palantir Foundry is a plus
• Fluenxy in English (written & spoken)

Required Education

• Required Education

  Bachelor's or Master's degree in Business, or a data-related field

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Insurance

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