Jobs at Sia Partners

Partner with business and technology leaders to identify AI opportunities, design and prototype generative AI workflows and agent-based solutions, and support enterprise-scale implementation. The role drives cross-functional transformation execution, establishes AI governance and operating models, measures business impact, optimizes workflows and prompts, and enables adoption through training, documentation, and stakeholder engagement.

Leads enterprise AI transformation initiatives by identifying use cases, designing and prototyping generative AI workflows and agent solutions, coordinating cross-functional delivery, measuring business impact, improving prompts and processes, and supporting responsible adoption through training, governance, documentation, and stakeholder engagement. The role combines consulting, business strategy, operations, applied AI, and change management without requiring deep machine learning engineering expertise.

Own end-to-end recruitment for technical, consulting, and corporate roles across India and global locations. Develop sourcing strategies, build talent pipelines, conduct screening interviews, coordinate assessments, maintain ATS records, and support hiring teams. Provide talent market intelligence on compensation, sourcing challenges, and competitors, while managing career-fair outreach and delivering a strong candidate experience from sourcing through offer.

Build and maintain data engineering and machine learning infrastructure for client projects and internal AI solutions. Develop Python tools, ETL pipelines, REST APIs, and containerized applications using Docker and Kubernetes. Implement GCP cloud architectures, CI/CD pipelines, Infrastructure as Code, application security, and ML model deployment services. Collaborate with data scientists, consultants, and clients while supporting applications throughout their development, deployment, and maintenance lifecycles.

Serve as a forward-deployed business analyst and strategic advisor for financial services clients. Apply AI, analytics, automation, and consulting methods to analyze processes, define requirements, design solutions, support implementations, and drive business outcomes. Collaborate with business, product, data, and technology stakeholders; own workstreams, manage risks and dependencies, conduct testing support, and create executive-ready deliverables. Contribute to proposals, business development, and thought leadership on digital, data, and AI trends.

Serves as a forward-deployed business analyst and consultant for financial services clients. Responsibilities include AI-enabled research and analysis, process mapping, requirements gathering, solution design, implementation support, UAT, stakeholder alignment, workstream ownership, risk tracking, and preparation of client-ready deliverables. The role partners with business, product, data, and technology teams to drive strategic transformation, operational improvements, and AI-enabled solutions, while also supporting proposals and thought leadership.

Supports financial services clients as a forward-deployed business analyst and consultant. Responsibilities include AI-enabled research and analysis, process mapping, requirements gathering, solution design, implementation support, UAT, stakeholder alignment, workstream ownership, risk tracking, and preparation of executive-ready deliverables. The role also contributes to proposals, business development, and thought leadership while partnering with business, product, data, technology, and client teams.

Le Contrôleur financier dirige la planification annuelle, les prévisions trimestrielles et les projections à long terme au Canada. Il supervise les activités comptables, les rapports financiers, les contrôles et les obligations fiscales. Il agit comme partenaire financier des équipes opérationnelles, analyse les écarts, les coûts, les investissements et les scénarios, puis formule des recommandations. Le rôle contribue également à l’automatisation, à l’amélioration des processus et aux initiatives stratégiques dans un environnement Canada–États-Unis.

Conduct a competitor citation audit, analyze audience and publication credibility, identify citation opportunities, and develop a client-ready strategic proposal for a regulated pharma account. The role includes citation teardowns, digital PR and placement recommendations, feasibility and MLR considerations, stakeholder collaboration, narrative development, and revision cycles within a compressed four-week engagement.

Serve as a forward-deployed business analyst and strategic advisor for financial services clients. Apply consulting methods, AI, analytics, automation, and low-code tools to analyze processes, define requirements, design solutions, support implementations, and improve operations. Own workstreams, manage risks and dependencies, facilitate stakeholder alignment, support testing and readiness, and create executive-ready deliverables. Contribute to proposals, business development, and thought leadership on digital, data, and AI trends.

Conseiller les clients dans des transformations organisationnelles, numériques et liées à l’intelligence artificielle. Réaliser des diagnostics, analyses d’impacts et stratégies de gestion du changement; mobiliser les parties prenantes; concevoir des communications et formations; faciliter l’adoption des technologies; gérer les résistances; animer des ateliers; produire des recommandations et livrables exécutifs; mesurer l’adoption. Contribuer également aux offres, publications, formations et propositions commerciales du cabinet.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include designing cloud architectures across GCP, AWS, and Azure; developing Python tools and ETL pipelines; managing Docker, Kubernetes, CI/CD, and Infrastructure as Code; supporting ML workloads; monitoring costs; and implementing application security. The role also requires collaboration with data science teams, client deployment support, and strong English and Dutch communication skills.

Build and maintain cloud-based data engineering and machine learning infrastructure for client projects and internal AI solutions. Develop Python tools, ETL pipelines, REST APIs, and Big Data workflows; manage GCP services, Docker and Kubernetes environments, CI/CD pipelines, application security, and Infrastructure as Code. Collaborate with data scientists and consulting teams while supporting the full application lifecycle from development through deployment and maintenance.

Develop and execute influencer and creator partnership strategies for integrated marketing campaigns. Identify and recruit creators, create campaign briefs, negotiate contracts and usage rights, manage budgets and invoicing, track deliverables, identify trends, and connect creator activations with paid, organic, social, creative, and growth strategies. The role also supports reporting, client approvals, and measurable campaign performance.

Lead client engagements delivering cloud-based data engineering solutions, including scalable pipelines, data architectures, distributed systems, database models, integrations, and DataOps practices. Manage stakeholders, mentor consultants, contribute to proposals and business development, develop internal offerings, and represent the firm through thought leadership. The role requires strong communication, technical leadership, and hands-on experience with GCP and modern data platforms.

Consulting IT/Business Analyst responsible for eliciting, documenting, and translating business requirements into functional specifications; collaborating with stakeholders and technology teams; conducting data-driven analysis; supporting digital transformation projects, especially in energy; and participating in client delivery and temporary international assignments.

Lead backend-focused software development and integrations using Python and TypeScript/Node.js, support front-end features, contribute to CI/CD, containerized deployments, and cloud-native big data platforms across AWS/Azure/GCP, and engage in solution design, business development, and team leadership within client transformation projects.

Lead process and data-driven transformation projects: analyze and model business processes, design data requirements and KPIs, implement data governance and BI solutions, advise clients on operational excellence, and mentor junior analysts to ensure measurable, scalable improvements.

Lead end-to-end process and data transformation projects: analyze and model processes, design data models and KPIs, implement data governance and BI solutions, train stakeholders, and measure performance to enable scalable, data-driven operational improvements.

Leads end-to-end client project delivery, including scope, schedules, budgets, risks, governance, stakeholder alignment, workshops, and executive reporting. Performs business analysis through requirements gathering, process mapping, gap analysis, automation assessment, and technology evaluation. Supports AI, digital, data, cloud, ERP, CRM, and other transformation initiatives, including testing, adoption, and change management. Develops client deliverables, contributes to proposals and business development, and mentors junior consultants.