Jobs at Sia Partners

Support accounting for the Mumbai office and group entities: month-end close, raise and post sales invoices, maintain and reconcile general ledger, manage projects in timesheets/invoicing system, handle intercompany invoicing and reconciliations, follow up on collections, review and recharge client expenses, reconcile balance sheet/payroll/revenue monthly, and provide ad hoc accounting support.

Lead organizational design and change-management engagements: assess structures, design target operating models, define roles/governance, drive readiness/skilling, influence stakeholders, implement transformation, measure progress, and support business development and internal practice growth.

Support clients through change management initiatives: create roadmaps, lead impact analyses and readiness assessments, manage stakeholders, track program health, develop executive presentations and skilling content, coordinate with teams, apply PM frameworks, and contribute to business development and internal firm activities.

Lead design, development, and production deployment of AI and Generative AI solutions (LLMs, RAG, vector DBs, agentic systems). Architect cloud-native, containerized backend systems; drive MLOps/GenAIOps practices; lead client engagements, shape technical proposals, and manage/mentor engineering teams to deliver secure, scalable AI products.

Provide strategic and operational advisory to insurance, asset management and financial services clients. Lead small project teams, analyze data, design operational improvements, manage project delivery, support business development and share consulting best practices across the regional office and global network.

Design, prototype, and deploy Generative AI/LLM solutions (RAG, agents, fine-tuning). Build production-ready applications with MLOps, cloud integration, evaluation frameworks, Responsible AI, and cross-functional collaboration to deliver business value.

Lead and implement change management activities for large-scale transformations: readiness assessments, stakeholder analysis, communication, training/readiness content, progress reporting, metrics, and executive presentations while coordinating with project teams and contributing to business development and internal initiatives.

Work with clients' compliance and risk teams to define data needs, build data pipelines, analyze structured and unstructured data, and develop ML/GenAI solutions (LLM-based systems, predictive models, dashboards). Deploy and fine-tune models, design prompting strategies and agentic systems, ensure regulatory compliance, and support business development and internal knowledge sharing.

Provide comprehensive office management for the Montreal office (and support Ottawa, Toronto, Calgary): manage daily operations, logistics, vendor relations, IT/security inventory and access, event planning, travel arrangements, and administrative support for managers and HR.

Lead and manage cybersecurity consulting engagements across strategy, risk, compliance, operations, data protection, offensive security, resilience and training. Oversee project delivery, client relationships, business development, and consultant mentoring. Contribute to innovation, PoCs, publications, and firm eminence within the CyberLab.

Lead and manage end-to-end cybersecurity consulting engagements (strategy, risk, compliance, offensive security, resilience, data protection). Build client relationships, contribute to business development, mentor consultants, run PoCs and innovation in the CyberLab, produce thought leadership, and represent the firm at events.

Lead and manage cybersecurity consulting engagements across strategy, risk, compliance, operations, data protection, offensive security, resilience and training. Oversee project delivery, client relationships, business development, and consultant mentoring. Contribute to innovation, PoCs, SaaS offers, and firm thought leadership through publications and events.

Support delivery of financial-services consulting projects (insurance, asset management, operations). Work in small teams to analyze data, develop insights, implement solutions, engage stakeholders, contribute to business development, and share best practices across the global firm.

Work with client teams to define data needs, build pipelines, analyze structured and unstructured data, and develop/deploy ML and Generative AI (LLM) systems for compliance, risk monitoring, and regulatory intelligence. Design prompting strategies, develop GenAI applications that meet regulatory requirements, communicate results via dashboards and presentations, and support business development and internal knowledge sharing.

Work with clients to define data needs, analyze structured and unstructured data, build and deploy ML and LLM-based systems (GPT, Claude, Gemini, Llama, Mistral), design prompting and agentic solutions, operationalize segmentation, forecasting and GenAI applications, and communicate results via presentations, dashboards, and tools to inform marketing and product decisions.

Work with clients to define data needs, acquire and analyze structured and unstructured data, build predictive models and LLM-based systems, deploy GenAI applications, design prompting strategies, and communicate insights via presentations, dashboards, and tools. Collaborate with engineering and product teams to productionize models and provide strategic decision support for marketing, customer, and product challenges.

Consultant supporting clients' compliance, risk, and regulatory teams by defining data needs, building data pipelines, performing analytics, and designing/deploying GenAI and ML solutions (LLMs, agents, dashboards). Collaborates with engineering, legal, and product teams and contributes to business development, training, and publications.

Partner with client teams to define data needs, acquire and analyze structured and unstructured data, build predictive models and LLM-based systems, design prompting strategies, deploy GenAI applications, and communicate findings via presentations, dashboards, and tools to support marketing, customer, and product decisions.

Lead and execute data science and digital transformation projects: build predictive models, apply ML/AI and econometrics, design optimization and simulation solutions, process large/unstructured data, contribute to business development and internal offering, and take on team leadership and client-facing responsibilities.

Lead client engagements to design and deliver scalable data architectures and pipelines (batch, streaming, real-time). Implement cloud-based solutions using distributed frameworks, optimize databases and data models, enable CI/CD and DataOps, mentor consultants, drive business development, and contribute to internal offerings and thought leadership.