The Data & Analytics (DNA) department is a key pillar of Luminus’ transformation towards

a data-centric organization. Within the RT DNA operating model, delivery is structured

around platform teams, responsible for developing and maintaining both the enterprise

Data&Analytics platform and Visualization Platform, and cross-functional scrum and fusion

teams, focused on delivering data products and solutions for specific business domains.

To strengthen technical excellence and team cohesion, DNA is adopting a hybrid HR

organization that combines stable platform teams — functioning both as Scrum and HR

teams — with centralized pools of experts who report to domain managers and are

assigned to scrum and fusion teams to support the delivery in the business domains.

The Domain Manager for Data & Analytics Platforms leads and develops the teams

responsible for designing, evolving, and operating the Data & AI Platform and

Visualization Platform. These platforms enable effective data management, business

intelligence, AI and data interoperability across the organization.

This role is accountable for ensuring that the platforms remain secure, reliable, scalable,

and cost-efficient, while continuously integrating new technologies to meet evolving

business needs.

The Domain Manager also drives the adoption of platform capabilities across the

organization, ensuring that teams fully leverage available tools, services, and standards to

maximize value and efficiency.

Key Competencies

The IT Domain Manager Data&Analytics Platforms

- Demonstrates strong leadership and people management by empowering, coaching,

and developing teams, while guiding tech leads, platform and visualization engineers

- Possesses solid expertise in Agile delivery, with deep knowledge of frameworks

such as Scrum and SAFe, delivery methodologies (Agile, Waterfall, Hybrid), and

DevOps practices.

- Communicates effectively, with excellent interpersonal skills and the ability to

engage stakeholders at different levels of the organization.

- Applies strategic thinking and problem-solving to analyse complex issues and

provide actionable solutions.

- Demonstrates a deep understanding of data platform architecture, integration patterns

and cloud technologies 2

- Shows deep understanding of product management with the ability to define, prioritize,

and communicate a platform roadmap that is aligned with business priorities. and

technological evolution.

- Maintains a strong interest in innovation and emerging technologies

- Brings proven experience in driving continuous improvement, establishing best

practices, and leveraging automation and cost optimization.

- Collaborates effectively with product owners, architects, scrum masters, and data

intelligence teams to balance delivery priorities and technical quality

- Ensures governance and compliance of platforms (data, AI, security – GDPR, AI act,

Data act etc.)

Main Responsibilities

- Lead, coach, and develop Tech Leads, Platform Engineers, and Visualization Experts

by fostering a high-performance, collaborative culture providing coaching, feedback,

and career development while guiding teams in solving technical challenges.

Managing the full HR lifecycle including coaching, evaluations, and recruitment.

- Define and maintain the platforms roadmap, ensuring alignment with IT and business

priorities, architectural standards and technology evolution.

- Oversee roadmap execution, ensuring engineering best practices, technological

sustainability and avoidance of vendor lock-in.

- Collaborate with the Scrum Master to monitor team performance, progress, and quality

metrics, ensuring milestones are achieved and initiating corrective actions when

necessary.

- Safeguard platform reliability by overseeing performance monitoring, incident

management, and cost optimization.

- Work with IT and business teams to support platform adoption, share knowledge

across teams, and promote best practices to maximize value and return on

investment.

- Promote a culture of continuous improvement, using metrics and feedback to improve

platform efficiency, usability, and maintainability.

- Contribute to defining the resource strategy (internal vs externals resources) and

recruitment priorities for the domain

- Manage relationships with external vendors ensuring performance and mitigating risks

associated with partnerships. Oversee contracts and performance to ensure

alignment with objectives.

- Proactively identify and manage risks and issues, developing mitigation strategies and

working with Scrum Masters to remove blockers.

- Manage the domain budget and provide transparent financial oversight, monitoring

platform costs and driving optimization

Qualifications

Required qualifications:

- Master’s or Bachelor’s degree in Computer Science, Information Technology or

related field (or equivalent professional experience)

- Proven experience (7+ years) in IT management or agile leadership, preferably

within a data & analytics department

- Solid understanding of modern data platforms and cloud technologies, including

data architecture, integration, analytics, AI/ML enablement, and visualization

3

- Strategic thinking, product management skills, and problem solving to define and

execute roadmaps aligned with business and IT priorities

- Experience working in Agile environments and managing delivery in complex,

cross-functional setups

- Proven ability to motivate, develop, and guide technical teams

- Resilience and ability to manage ambiguity and uncertainty in fast-changing

contexts

- Affinity with IT solutions at all levels and good understanding of business

contexts

- Excellent communication and interpersonal skills

- Solid understanding of IT governance, risk management and compliance

standards.

- Experience managing external vendors and third-party service providers

- Experience in budget, resource, and cost management for platform initiatives

- Fluent in English (French or Dutch is a plus).

Preferred Qualifications

- Recognized certifications in Agile delivery (e.g. CSM/PSM, SAFe) or project

management (e.g. PMP, PRINCE2).

- Strong interest in emerging technologies such as AI, GenAI, automation, and

data-driven innovation

- Familiarity with enterprise architecture, IT systems integration, and infrastructure

projects

- Understanding of data product thinking and modern domain-driven architectures

- Experience defining and tracking platform KPIs and value metrics

IT Domain Manager Data & Analytics Platforms

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