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