Senior Manager, Full-Stack AI & Enterprise Transformation

Accenture Southeast Asia

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

Accenture is seeking a Senior Manager in Data & AI to lead complex, multi-workstream agentic AI programmes. You will diagnose business problems, design end-to-end AI solutions, and drive production delivery while maintaining credibility with VP and C‑suite stakeholders.

You will guide architecture decisions, grow client relationships, and contribute to practice development, with hands-on involvement in AI advancements and enterprise-scale deployments.

Qualifications

  • 3+ years building and operating agentic AI systems in production.
  • 8+ years experience in classical AI/ML, data engineering, and advanced analytics.
  • 10+ years of full stack engineering and complex software delivery.
  • Experience leading client-facing business transformation programmes involving AI.

Responsibilities

  • Lead client discovery and visioning engagements; diagnose business processes and define agentic AI opportunities.
  • Design transformation roadmaps and manage multi-workstream delivery.
  • Drive technical design and production delivery of agentic AI systems; ensure production readiness and governance.
  • Engage senior client stakeholders (VP/C-suite) and manage executive reviews and governance.

Skills

Agentic AI systems
LLM-based applications
Full stack engineering
Client stakeholder management
AI architecture
Cloud-native development

Education

Bachelor's degree in related field
Master's degree in CS/AI/Engineering valued

Tools

AWS/Azure/GCP
SAP
Salesforce
ServiceNow

Job description

Accenture is seeking a Senior Manager in Data & AI to lead complex, multi-workstream agentic AI programmes. You will diagnose business problems, design end-to-end AI solutions, and drive production delivery while maintaining credibility with VP and C‑suite stakeholders.

You will guide architecture decisions, grow client relationships, and contribute to practice development, with hands-on involvement in AI advancements and enterprise-scale deployments.

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