Jobs bei Goldman Sachs Group, Inc. in Kanada

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.

The Lead Data Governance plays a pivotal role to align business initiatives with SCOR data strategy, through :

• Ownership of the data governance framework
• Promotion of data quality
• Guarantee of data usability
• Preparation for and deployment of self-service

1. Ownership of data governance framework :

• Maintain the framework, including development of new responsibilities and processes, to make sure it serves its business purposes and establishes trust in the data on a continuous basis
• Ensure the framework developments are built with, advertised to and adopted by its stakeholders (stewards, custodians, DPO etc.)

2. Promotion of data quality :

• Lead the operationalization of the quality pilar of the data governance framework
• Manage the development of tooling required for operationalization, including data platform developments
• Ensure ownership of quality metrics lies within business stakeholders, in alignment with business processes
• Lead the set-up of the data quality remediation mechanism, in collaboration with all relevant stakeholders (business, tech, process / transformation)

3.Guarantee of data usability :

• Lead the identification of SCOR critical data assets, and promote their active documentation by business users
• Lead the data discovery effort, in line with the data strategy and data foundations roadmap, ensuring adequacy of assets available to the business users
• 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

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
• Co-lead the scaled deployment of the self-service framework across the organization
• Lead an-MDM specific business initiative on behalf of the Data & Analytics office
• Lead the set-up of the MDM framework across the organization, using the aforementioned initiative as a blueprint
• Excellent command of data governance & data quality practices, as well as master data management
• Superior communication and interpersonal skills, ability to interact with 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
• Bachelor's or Master's degree in Business, or a data-related field