Data Owner

Who are we ?

At Oney Insurance, we develop ultra-personalised solutions for brands, companies, and broker networks in Life and Non-Life Insurance through our two entities: Oney Life and Oney Insurance. Our fast, agile, and innovative company has been steadily growing since 2008, thanks to our amazing 40 employees. We empower our people to take responsibility of their tasks, in an international environment.

The fact that we are a human-size company plays a big part in it. It allows us to be flexible, accessible, and responsive, and our size therefore allows us to develop ultra-personalized solutions for the B2B insurance market. Our belonging to Groupe BPCE & Auchan Holding is no little matter either.

For many years Oney has been the privileged partner of the Group’s large retailers (Auchan, Leroy Merlin, Norauto, Boulanger), but also non-partner brands specialized in e-commerce.

Role Overview

We’re looking for Data Owner who will be responsible for ensuring the accuracy, quality and consistency of data within their assigned domain, treating data as a key organisational asset. In this role, you will oversee data governance activities, maintain clear data definitions and standards, and work closely with business and IT teams to resolve data issues and drive continuous improvement. You will monitor data quality, support reporting structures, and ensure alignment between operational processes, system configurations and BI outputs. This position requires strong analytical skills, structured thinking, and the ability to collaborate across multiple departments to ensure that data remains reliable, compliant and fit for business and regulatory use.

Key Responsabilities

Data Governance & Stewardship

• → Own and maintain all data assets within the assigned domain, ensuring adherence to governance standards, business rules, and quality thresholds.
• → Define, update, and communicate data definitions, Critical Data Elements (CDEs), data dictionaries, lineage, and business rules.
• → Ensure data practices comply with regulatory requirements, internal controls, and audit expectations.

Data Quality & Issue Management

• → Continuously monitor data quality through BI dashboards, reports, and automated controls.
• → Independently identify inconsistencies, missing data, duplicates, and systemic issues.
• → Conduct root cause analyses and coordinate corrective/preventive actions (CAPA) with stakeholders.
• → Track and escalate critical data issues, ensuring timely resolution and transparent communication.

Cross-Functional Collaboration

• → Work closely with all business units to ensure alignment in how data is collected, interpreted, and used.
• → Facilitate workshops, alignment sessions, and discussions to standardise processes and resolve data-related blockers.
• → Serve as the primary point of contact for internal and external stakeholders on data matters.

Documentation & Templates

• → Develop and maintain documentation standards, including templates for data requirements, mapping documents, validation rules, technical specifications, and data-related change requests.
• → Ensure documentation repositories are complete, up to date, and accessible to relevant teams.

Projects, Change Management & System Enhancements

• → Lead or support data governance initiatives and system improvement projects.
• → Manage data-related tasks, backlogs, priorities and timelines.
• → Initiate system change requests (CRs), define requirements, participate in UAT, and validate implementation outcomes.
• → Oversee the implementation of new data reports, data structures, APIs, and integration flows.

Reporting & BI Responsibilities

• → Navigate BI tools confidently to analyse data, create dashboards, validate KPIs, and identify anomalies.
• → Build and maintain dashboards supporting data quality monitoring and operational insights.
• → Validate data outputs, reconcile discrepancies, and ensure alignment between BI and source systems.

Risk & Compliance Alignment

• → Ensure that data controls meet regulatory, audit, and internal risk management requirements.
• → Support internal/external audits by providing evidence, documentation, and explanations of data flows and controls.
• → Highlight risks related to data quality, system limitations, or compliance gaps.