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General Information

Company
Deloitte
Business Unit
Technology & Transformation
Primary Location
Zaventem
Field of interest
Technology
Industry Focus
Industry Agnostic
Recruiter
Bulinckx, Julie - jbulinckx@deloitte.com

Description of the position

Your Journey with us

We’re seeking an experienced Decision Intelligence Solution Architect to lead the design and delivery of intelligent decision systems for our Supply Chain clients. You’ll be the strategic bridge between business complexity and technical execution—translating functional requirements into scalable, impactful solutions. Working with our data team and business stakeholders, you’ll architect end-to-end decision systems that embed analytics, automation, and AI into critical supply chain decisions. If you combine deep technical expertise with strong business acumen and thrive on solving ambiguous, high-stakes problems, we want you on our team.

What You’ll Do

• Business Discovery & Requirements Translation: Conduct in-depth stakeholder interviews to understand decision challenges, pain points, and success criteria; translate ambiguous business problems into clearly defined technical requirements and decision architectures

• Solution Architecture & Design: Design end-to-end decision intelligence solutions that integrate data pipelines, analytical models, business logic, and user interfaces; define technical strategy, technology stack, and integration patterns

• Development Oversight & Guidance: Create detailed technical specifications and development tickets that guide data engineers and developers; conduct code and design reviews to ensure alignment with architectural vision and quality standards

• Data & Analytics Strategy: Specify data requirements, analytical approaches, and model strategies; design data architectures that support decision systems while ensuring data quality, consistency, and accessibility

• Stakeholder Management & Communication: Maintain clear communication with C-suite executives, business leaders, and technical teams throughout the project lifecycle; translate between business and technical languages effectively

• Risk & Compliance Assessment: Identify and mitigate technical, operational, and compliance risks; ensure solutions meet regulatory and governance requirements

• Continuous Improvement & Knowledge Transfer: Establish monitoring frameworks for solution performance post-deployment; capture lessons learned and share best practices across the organization

Let’s talk about you

• Advanced Technical Expertise: 5+ years of professional experience in software engineering, data science, or analytics; 3+ years in an architectural or senior technical leadership role with proven ability to design and deliver complex systems

• Data & Analytics Mastery: Deep understanding of machine learning, statistical modeling, data engineering, and decision science; hands-on experience building data pipelines, ETL processes, and analytical models in production environments

• Software Architecture Knowledge: Proven expertise designing scalable, maintainable software systems; strong understanding of cloud platforms (AWS, Azure, GCP), APIs, integration patterns, and deployment architectures

• Programming & Technical Depth: Hands-on proficiency with Python, Java, Scala, or similar languages; ability to review code, guide developers, and solve complex technical problems; familiarity with DevOps, containerization, and CI/CD practices

• Business Acumen & Leadership: Understanding of business strategy and operations; proven ability to engage with executives and business leaders; experience leading technical teams, mentoring others, and driving organizational change

• Problem-Solving & Communication: Exceptional analytical and creative thinking; ability to navigate ambiguity and complexity; clear written and verbal communication skills; comfort translating between business and technical domains

• Demonstrated Impact: Portfolio of completed projects showing end-to-end ownership from design through deployment; evidence of delivering solutions that drove measurable business value and operational improvements

Primary Focus: Data Excellence Over Platform Specificity

While familiarity with Aera Technology is a nice-to-have, data engineering and analytics expertise is what matters most. We value professionals who:

•         Prioritize data quality, pipeline reliability, and analytical rigor above platform-specific knowledge
•         Can quickly learn new tools and platforms as business needs evolve
•         Understand when to build custom solutions vs. leverage existing platforms
•         Bring deep experience with core data technologies: Python, SQL, cloud data warehouses, BI tools, and ML frameworks

Cloud Platforms: AWS, Azure, GCP
Data Warehousing: Snowflake, BigQuery, Redshift, Delta Lake
Visualization & BI: Tableau, Power BI, Looker
DevOps & Deployment: Git, Docker, Kubernetes, CI/CD pipelines
Collaboration: Jira, Confluence, design tools

Data & Analytics: Python, SQL, Spark, Kafka, TensorFlow, PyTorch, scikit-learn, XGBoost Technologies
Our story
Enterprise Performance is about achieving maximum impact and value from investments in finance, supply chain, and IT operations requires a holistic view of key business functions from strategy through process design and technology enablement
Deloitte is a globally recognized professional services firm committed to making an impact that matters. Our Supply Chain & Network Operations practice supports clients in addressing their most critical supply chain challenges through strategic, analytical, and technology-enabled projects. We deliver end-to-end, data-driven redesign and digitization to transform key areas such as planning, sourcing & procurement, manufacturing, and logistics & distribution. Join our team in Belgium and work with clients across diverse industries as we advise, implement, and operate solutions that drive sustainable growth and operational excellence.
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