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Lead complex IT programs from initiation through implementation, building roadmaps, managing project managers, tracking objectives and benefits, reporting to business leadership, and overseeing risks, dependencies, costs, and core-team operations. The role requires ERP implementation experience, strong leadership and facilitation skills, interest in data and AI, and fluency in French, Dutch, and English.

Deliver client-facing risk and compliance consulting engagements by mapping processes, identifying risks and inefficiencies, designing improved frameworks, and evaluating practical AI and automation opportunities. Lead workstreams, manage stakeholders and timelines, present recommendations to leadership, develop client-ready deliverables, mentor team members, contribute to thought leadership, and support business development.

Lead complex IT programs from initiation through implementation, develop roadmaps, manage project managers, track objectives, benefits, costs, risks, dependencies, and report progress to business leadership. The role requires consulting experience, ERP implementation expertise, strong leadership and facilitation skills, and fluency in French and English. Candidates should have a relevant master’s degree and interest in data and AI topics. Work permit sponsorship is unavailable.

Lead the initiation, planning, implementation, and governance of complex programs. Build and execute roadmaps, manage project managers, track objectives, benefits, costs, risks, and dependencies, and report progress to business leadership. The role also oversees core team effectiveness and requires ERP implementation experience, strong leadership and facilitation skills, interest in data and AI, and Dutch and English language proficiency.

Consults on data engineering projects and develops Sia AI solutions. Responsibilities include designing cloud architectures across GCP, AWS, and Azure; managing Docker and Kubernetes environments; building Python tools, REST APIs, ETL pipelines, and CI/CD workflows; implementing Infrastructure as Code; supporting machine learning infrastructure; and maintaining application security. The role requires collaboration with data science teams and clients, strong quantitative education, technical expertise, and fluent English and Dutch.

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business challenges. Extract insights from data, present analytical findings, support client workshops, and translate technical concepts into actionable recommendations.

Develop predictive models, statistical analyses, optimization solutions, simulation models, and algorithms for large or unstructured datasets in client transformation projects. Support business and IT analysis, digital transformation, partial coding, internal data science offerings, and business development. The role also involves contributing to innovation, collaborating across teams, and progressing toward team leadership and international client assignments.

Deliver data-driven strategies and insights for clients by preparing and validating datasets, performing statistical analysis, and developing automated dashboards and reports. Translate complex findings for non-technical stakeholders, support data-driven decision-making, contribute to Data Science and Generative AI offerings, and assist with proposals, thought leadership, and client relationship development.

Collaborate with data scientists, engineers, and consultants on client projects. Apply statistical modeling, optimization, machine learning, Generative AI, and large language models to solve business problems. Extract actionable insights, develop analytical solutions, present results, and support client workshops in multidisciplinary teams.

Lead the growth of Sia’s machine learning engineering team, develop AI products and client solutions, make cloud architecture decisions, and build production-grade ML systems. Guide data scientists in deploying and optimizing models, mentor engineers, deliver training, support client workshops, and represent the company through conferences, blogs, and media. The role requires strong software engineering, cloud, big data, DevOps, communication, and consulting capabilities.