Jobs at Sia Partners

Build and scale a global community for a consumer AI product. Responsibilities include defining community strategy, launching ambassador and power-user programs, driving referrals and advocacy, analyzing engagement and retention data, supporting international growth, and translating user feedback into product insights. The role partners with marketing, product, engineering, creative, and growth teams to create scalable, personalized community experiences and establish feedback loops that influence the product roadmap.

Curates, classifies, tags, and maintains strategic knowledge assets from internal and external sources. Ensures metadata consistency, data quality, confidentiality, governance compliance, repository hygiene, and version control. Uses AI-enabled tools such as NLP, semantic search, document classification, and automated tagging to improve processing and retrieval. Supports consulting teams, generates repository reporting and dashboards, and contributes to knowledge management standards and continuous improvement.

Leads client project delivery, including scope, schedules, budgets, risks, governance, workshops, and executive reporting. Performs business analysis, process mapping, requirements gathering, gap analysis, and technology evaluations. Supports AI, automation, data, cloud, ERP, CRM, and digital transformation initiatives, translating business needs into technical solutions. Builds client relationships, develops consulting deliverables and proposals, facilitates adoption and change management, and mentors junior consultants.

Leads client engagements delivering scalable data engineering solutions, including data architectures, pipelines, cloud and distributed systems, databases, data modeling, integration, and DataOps. The role also involves stakeholder management, business development, thought leadership, mentoring junior consultants, and managing projects from strategy through execution. Candidates need a technical master’s degree, 3–6 years of relevant experience, strong communication skills, English fluency, and Dutch or French fluency.

Lead cybersecurity consulting engagements spanning risk, compliance, governance, operational resilience, third-party risk, business continuity, and cyber frameworks. Develop client offerings, deliver strategic recommendations, present findings to executives, manage key relationships, support proposals and sales, mentor consultants, and guide internal initiatives. The role also supports go-to-market for a cyber risk SaaS product using NIST-based attack modeling.

Work on cybersecurity consulting, implementation, and audit engagements across cyber strategy, risk, compliance, operations, and resilience. Responsibilities include security assessments, cloud and infrastructure protection, compliance frameworks, incident response, penetration testing, innovation projects, cybersecurity solution proof-of-concepts, research, publications, and representing the firm at industry events.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, forecasting, Generative AI, and large language models. Manage stakeholders, advise senior leaders, guide multidisciplinary teams, mentor colleagues, and oversee project delivery. Contribute to internal training, thought leadership, proposals, business development, and long-term client relationships while applying data and AI solutions to business and sustainability challenges.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include cloud architecture across GCP, AWS, and Azure; Docker and Kubernetes orchestration; Python development; CI/CD; ETL pipelines in Big Data environments; Infrastructure as Code; application security; and deployment and maintenance of data science platforms.

Lead the development of AI products and deliver machine learning solutions for clients. Design cloud architectures, build production-grade ML systems, optimize and deploy models, and guide data scientists. The role also involves mentoring engineers, leading trainings and meetings, supporting business development through events and publications, and collaborating with international data and consulting teams.

Leads data science and digital transformation consulting projects involving machine learning, AI, statistics, predictive modeling, optimization, simulation, and big data processing. Contributes to internal solution development, data science innovation, business development, and client needs analysis. Expected to assume team leadership responsibilities, collaborate across levels, and support international assignments.

Leads data science and digital transformation projects for clients, developing predictive models, optimization solutions, simulation models, and algorithms for large unstructured datasets. Contributes to internal service development and business development, with opportunities for team leadership. Requires strong analytical, communication, consulting, and multilingual skills, plus willingness to participate in temporary international assignments.

Designs scalable data architectures and pipelines using cloud platforms and distributed systems. Develops data models, integration patterns, CI/CD, and DataOps practices. Leads client engagements, manages stakeholders, contributes to business development and thought leadership, and mentors consultants. Requires strong communication, analytical problem-solving, and data engineering expertise.

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, communicate analytical results, support client workshops, and translate technical concepts into recommendations. The role also involves continuous learning, multidisciplinary collaboration, and developing expertise in data and AI topics.

Design, implement, monitor, and improve cybersecurity measures across data, applications, systems, and networks. Advise clients on security architecture and technical controls, support incident response and root-cause analysis, perform reverse engineering, and prepare security approval documentation. The role also contributes to cybersecurity offerings, business development, and client consulting engagements.

Develop cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include designing cloud architectures, managing Docker and Kubernetes environments, building Python tools and ETL pipelines, automating CI/CD, implementing infrastructure as code, and supporting ML workloads. The role also requires application security experience, collaboration with data scientists and clients, and strong English and Dutch communication skills.

Performs data science consulting assignments involving machine learning, AI, statistics, predictive modeling, operational research, optimization, simulation, and big data processing. Supports digital transformation projects, contributes to internal data science offerings, and assists with business development. Requires strong analytical, communication, and teamwork skills, plus French, Dutch, and English fluency. The role may involve temporary international assignments.

Lead client data engineering engagements from strategy through execution. Design scalable data architectures, pipelines, cloud and distributed systems, databases, data models, integration patterns, and CI/CD workflows. Manage stakeholders, advise senior clients, contribute to business development and thought leadership, and mentor junior consultants. The role requires strong communication, analytical and problem-solving skills, relevant technical education, 3–6 years of experience, and fluency in English plus Dutch or French.

Leads machine learning engineering initiatives, develops production-grade AI solutions, designs cloud architectures, and helps scale data science models into production. The role includes technical leadership, client consulting, mentoring engineers, delivering training, managing internal AI products, and contributing to conferences, blogs, and events. Candidates need strong Python and software engineering skills, cloud and DevOps experience, big data expertise, and fluency in English and Dutch.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include developing Python tools and ETL pipelines, managing AWS, Azure, and GCP services, containerizing workloads with Docker and Kubernetes, automating CI/CD, implementing Infrastructure as Code, optimizing cloud costs, and securing applications. The role also supports deployment and maintenance of data science platforms while collaborating with international teams and clients.

Leads machine learning engineering initiatives across internal AI products and client projects. Designs cloud architectures, builds production-grade ML solutions, and scales data science models through optimization, testing, and deployment. Provides technical leadership, mentoring, training, client collaboration, conference presentations, and thought leadership. The role requires strong software engineering, cloud, DevOps, big data, database, and machine learning expertise, along with English fluency, Dutch proficiency or willingness to develop it, and travel flexibility.