Senior Consultant - AI TransformationSenior Consultant - AI Transformation

ELLIOTT MOSS CONSULTING PTE. LTD.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

A consultancy firm is seeking a Senior Consultant - AI Transformation Lead to drive business process transformation utilizing agentic AI technologies. This role involves redefining traditional processes, leading design thinking workshops, and collaborating with business leaders and technical teams. The ideal candidate will possess a Bachelor's or Master's degree and 5-7+ years of relevant experience, including expertise with AI platforms like LangChain. Strong leadership and analytical skills are essential.

Qualifications

• 5–7+ years of experience in business process re-engineering or transformation.
• Hands-on expertise with agentic AI platforms.
• Demonstrated ability to manage stakeholders and drive change.

Responsibilities

• Analyze and document business processes for AI integration.
• Lead design thinking workshops to create AI-enabled solutions.
• Re-engineer workflows to reduce human intervention and improve agility.

Skills

Business process re-engineering

AI platforms expertise

Cross-functional leadership

Analytical thinking

Change management

Education

Bachelor’s or Master’s degree

Tools

LangChain

AutoGen

Job description

Job Description

Senior Consultant - AI Transformation Lead is responsible for driving business process transformation by leveraging agentic AI technologies to reimagine workflows for higher automation, adaptability, and operational efficiency.

This role focuses on redesigning traditional processes into AI-embedded, autonomous, and outcome-driven workflows that enable dynamic decision-making and scalable transformation across the enterprise.

Key Responsibilities

• Analyze and document current business processes to identify inefficiencies, bottlenecks, and opportunities for agentic AI integration.
• Lead design thinking workshops to co-create AI-enabled process solutions aligned with strategic business objectives.
• Define and apply structured frameworks for AI use‑case assessment, including feasibility, business value, technical risk, and compliance evaluation.
• Re‑engineer end‑to‑end workflows from linear, manual models to adaptive, agent‑based architectures that reduce human intervention while improving consistency and agility.
• Partner with business leaders, product owners, and technical teams to embed AI, automation, and digital technologies into redesigned processes.
• Establish performance baselines and track improvements through relevant KPIs, continuously refining process designs for sustained impact.
• Support the development of governance frameworks and operating models that ensure scalable, compliant, and sustainable AI‑driven process implementations.
• Contribute to enterprise AI strategy by identifying new opportunities for AI‑driven transformation across functions.

Qualifications & Experience

• Bachelor’s or Master’s degree in Business Administration, Engineering, Management, Computer Science, or related discipline.
• 5–7+ years of experience in business process re‑engineering, transformation, or digital initiatives, with proven delivery of AI or automation programs.
• Hands‑on expertise with agentic AI platforms and orchestration frameworks such as LangChain, CrewAI, AutoGen, or similar emerging technologies.
• Strong foundation in workflow redesign, process automation, and Lean / Six Sigma methodologies.
• Demonstrated ability to lead cross‑functional initiatives, manage stakeholders, and drive change at scale.
• Experience facilitating design thinking workshops, executive sessions, and change management programs.
• Working knowledge of cloud platforms, AI lifecycle management, CI/CD, and MLOps practices is highly desirable.

Preferred Skills & Competencies

• Strong ownership mindset with the ability to operate effectively in ambiguous, fast‑evolving AI transformation environments.
• Exceptional ability to translate complex AI capabilities into clear business value and measurable outcomes.
• Familiarity with AI governance, ethics, compliance, and risk management frameworks.
• Experience applying agentic AI to improve operations in finance, procurement, supply chain, or technology operations preferred.
• Excellent analytical thinking, communication, and executive‑level stakeholder engagement skills.