About the company
This is a leading innovator in digital services, business solutions and design-led experiences, delivered through the power of people and the Microsoft ecosystem. They provide state-of-the-art solutions and applications based on Microsoft technology in the area of application & server infrastructure, cloud-based, desktop and workplace IT solutions, messaging, collaboration …
We speak of a highly specialized team with a broad skillset that is passionate on bringing excellence to their customers, striving continuesly to the ultimate client satisfaction. They work from their office in Merelbeke, Brussels or client-site at medium and large range clients. With a perfect balance between work, training and knowledge sharing they constantly bring the team to new levels.
About the role
You lead complex client engagements, shape innovative data and AI solutions and oversee delivery across large-scale transformation programs.
This role requires a blend of deep technical expertise, consulting leadership, delivery management and talent development, operating at the intersection of business strategy, advanced analytics and AI.
You wact as a trusted advisor to senior client stakeholders while building, growing and leading high-performing, multidisciplinary teams.
Client Engagement Leadership
- Lead end-to-end client engagements from opportunity shaping through delivery execution.
- Act as a trusted advisor to senior client stakeholders (Director, VP and C-level).
- Facilitate workshops, discovery sessions, and solution design engagements.
Business Development & Practice Growth
- Contribute to sales activities, including lead origination, proposal development and opportunity shaping.
- Support the closing of Data & AI deals and expansion of existing client relationships.
- Build and evolve go-to-market offerings and reusable accelerators within the Data & AI practice.
Talent Leadership
- Lead hiring, mentoring and performance development of data engineering and AI talent.
- Evaluate candidates for data engineering and AI roles.
- Build and sustain a strong, diverse and scalable talent pipeline.
Solution Architecture & Engineering
- Define end-to-end data and AI architectures, including data ingestion, transformation, serving and AI/ML layers.
- Design scalable solutions leveraging Azure, Microsoft Fabric, Databricks and modern data platforms.
- Ensure alignment with enterprise architecture, governance and security standards.
AI & Innovation
- Drive adoption of AI and machine learning solutions, including Generative AI and agentic patterns.
- Lead proof-of-concept (PoC) and MVP initiatives to validate innovative approaches.
- Contribute to internal innovation efforts and thought leadership within the Data & AI practice.
Delivery Leadership
- Oversee large-scale data engineering, analytics and AI programs.
- Manage cross-functional delivery teams, including data engineers, architects and data scientists.
- Drive quality, risk management, and successful delivery outcomes across engagements.
About you
Skills and Experience
- 10 to 15+ years of experience in data engineering, data platforms or Data & AI roles.
- 5+ years of experience in leadership roles managing teams and client-facing engagements.
- Strong experience within the Microsoft Azure ecosystem, including Azure Data Factory, Synapse, Microsoft Fabric and Databricks.
- Solid understanding of AI/ML concepts, including MLOps and Generative AI.
- Proven experience in consulting or professional services environments.
- Excellent communication, presentation and stakeholder management skills.
Preferred Experience / Capabilities
- Experience with Microsoft Fabric and Power BI.
- Knowledge of data governance, security and compliance, including Purview and row-level security (RLS).
- Experience delivering solutions in regulated industries such as financial services or public sector.
- Familiarity with DevOps and CI/CD practices for data platforms.
Triggered? We like to talk to you
- Send us a short email. Don't hesitate, just contact us.
- We will share more info about the company and context you will work in.
