Data Product Owner

Le besoin

1. Service Context

The service will operate within the Data, AI & Innovation Division in the Group Data Office Department of a major international organization.

Context

Over recent years, considerable efforts have been made to digitize the business model. However, due to rapid technological changes and evolving customer expectations and behaviors, a technological transformation must be accelerated to become a tech-driven organization. Data and technology offer significant opportunities for both traditional business and new service models.

The Group Data, AI & Innovation (GDAI) team explores and scales the value of data, AI, and emerging technologies to reshape the business model and identify new opportunities that improve partnerships with customers.

Data & AI Products Team

This team drives the organization’s Data Mesh/Data Product transformation to simplify analytics use case deployment and accelerate AI innovations. Responsibilities include:

• Supporting business value creation via global and local data products

• Defining governance frameworks, data product portfolios, and lifecycle management

• Leading execution of cross-functional programs (e.g., Customer 360)

• Ensuring availability and accessibility of data for AI at both group and local levels

• Maintaining a self-service Global Data Platform aligned with current data and AI standards

• Ensuring data architecture readiness through standard frameworks

2. Service Description

The consultant will bring product ownership and business analysis expertise to serve business data needs. Key initiatives include Compliance, Growth, and adoption of shared Data & AI solutions across the Group (especially Contact Center, Claims, Underwriting).

Responsibilities:

• Engage with stakeholders to understand business initiatives involving Customer Data, including external sources (e.g., Dun & Bradstreet, S&P)

• Define data requirements across dimensions (definitions, quality, governance, platforms, architecture)

• Assess data quality and readiness across entities

• Contribute to customer definitions and frameworks (B2B, B2C, representatives, etc.)

• Design and deliver dashboards to report on data quality and readiness

• Define and implement remediation plans to reach business objectives

• Work with internal data governance, architecture, and management teams to align on standards and deliverables

Work Model: Hybrid with minimum 2 days/week on-site; average 3 days/week presence expected.

3. Deliverables

• A foundational definition of Customer Data across the Group

• Contribution to a data quality and readiness assessment framework

4. Required Expertise

Functional Expertise (Mandatory)

• Minimum 8 years of experience in product ownership for data usage, or data/business analysis

• Strong knowledge in data management: quality, governance, unstructured data

• Expertise in Customer Data within the insurance value chain, including MDM and deduplication

• Experience with global Customer 360 projects (scoping, alignment, design)

• Understanding of Data Product and Data Mesh concepts (desirable)

• Insurance sector knowledge and ACORD architecture (nice to have)

Technical Expertise

• Power BI (preferred)

Soft Skills & Environment

• Strategic thinking and business-driven mindset

• Ability to balance high-level vision with detailed execution

• Strong prioritization and organizational capabilities

• Ability to engage diverse stakeholders (business, data, IT)

• Fluent English (mandatory)