Head of Quality Insights

To strengthen our Quality Management & Strategy we are looking for a talented profile to fill the position of: Head of Quality Insights – Braine l’Alleud, Belgium

About The Role

Reporting to the Quality Management & Strategy Head, the Head of Quality Insights is accountable for generating enterprise-wide quality intelligence and providing leadership with a clear, data-driven view of quality performance, state of control, emerging Quality risks, inspection readiness and decision needs. The mission of the role is to own the Enterprise Management Review framework and ensure that information from across the quality ecosystem is consolidated, interpreted and transformed into meaningful insights, risk signals, executive readouts and decision-support materials.

This role is the enterprise visibility and intelligence capability for Quality, enabling leadership to understand how the quality system and quality processes are performing, where risks are emerging, and where governance decisions or improvement actions are needed.

You will work with

You will work closely with the Quality Management & Strategy Head and the Quality Leadership Team, as well as a broad network of stakeholders across Quality Operations, Quality Management Systems (QMS), Quality Process Owners, Regulatory Intelligence, Audit and Inspection teams, and operational Quality teams. You will also collaborate with data owners, digital teams, process owners and other business partners to gather and interpret quality metrics, improve data quality, develop dashboards and scorecards, and identify emerging risks and performance trends. A key part of the role will be connecting these different stakeholders and ensuring leadership receives clear, reliable insights to support Quality governance and decision-making across the organization.

What You Will Do

• Define, maintain and continuously improve the enterprise Management Review framework, including scope, cadence, input requirements, review structure, data model, issue escalation logic and output expectations.
• Own the Management Review preparation process and ensure the right insights, risk signals, performance trends and decision topics are brought to leadership at the right level.
• Coordinate Management Review inputs from Quality Operations, Process Owners, QMS, Regulatory Intelligence, Audit/Inspection teams and other relevant stakeholders.
• Transform fragmented quality information into coherent, leadership-ready Management Review materials that enable meaningful discussion and decision-making.

Quality Performance Framework and KPI Management

• Define and maintain the enterprise quality performance framework, including leading and lagging indicators, KPI definitions, reporting frequency, data ownership and interpretation rules.
• Create and maintain the enterprise Quality KPI catalogue, ensuring metrics are meaningful, risk-based, comparable and aligned with quality strategy and Management Review needs.
• Develop and maintain executive quality dashboards, scorecards and performance reports that provide clear visibility on quality performance and emerging concerns.
• Partner with data owners and process owners to improve metric definitions, data quality, reporting consistency and interpretation of performance signals.

Quality Analytics

• Build and operate the enterprise quality insights capability, converting quality data into actionable insight, trend analysis and predictive signals.
• Analyze cross-system data from sources such as audits, inspections, deviations, CAPA, change control, complaints, training, document management, regulatory intelligence and operational quality processes where available.
• Produce quality insights reports that explain what the data means, why it matters and what decision or action may be needed.

Regulatory Intelligence Integration

• Define and maintain the connection between Regulatory Intelligence outputs and enterprise Quality Intelligence, ensuring relevant regulatory trends, requirements and external signals are translated into quality implications.
• Integrate regulatory intelligence signals into Management Review inputs, quality risk discussions, inspection readiness assessments and executive quality reporting where relevant.
• Partner with Regulatory Intelligence process owners, topic leads and subdomain leads to ensure emerging regulatory expectations are assessed for potential QMS, process, documentation, training or compliance impact.
• Support leadership with clear interpretation of regulatory intelligence trends, highlighting potential risks, opportunities, prioritization needs and decisions required for the Quality organization

Enterprise Quality Risk

• Define and maintain the enterprise quality risk