Senior Consultant-AI Transformation

Strong strategic, commercial, and technical capability to help drive enterprise AI transformation. 

The individual must be able to move seamlessly between executive discussions and hands-on delivery, translating strategic objectives into practical AI initiatives that generate measurable impact

1. Strategic Advisory 

• Partner closely with the executive leadership on AI priorities. 

• Assess organizational challenges and identify areas where AI can improve performance, efficiency, service quality, or growth. 

• Develop enterprise AI roadmaps and transformation plans. 

• Provide market insight on emerging AI capabilities and relevant use cases. 

2. Opportunity Identification & Business Value Creation 

• Evaluate use cases across corporate functions, operations, customer services, analytics, and productivity. 

• Prioritize opportunities based on value, feasibility, speed, and readiness. 

• Build business cases with expected ROI, cost, risk, and implementation requirements. 

3. Solution Design & Architecture 

• Lead end-to-end design of AI solutions including data, models, workflows, governance, and integrations.

 • Architect solutions using cloud, hybrid, or on-premise environments. 

• Design GenAI, copilots, RAG, workflow automation, and agent-based solutions. 

• Recommend suitable technologies and vendors based on business requirements. 

4. Delivery Leadership 

• Convert approved initiatives into structured execution plans. 

• Coordinate internal teams, vendors, and stakeholders to ensure timely delivery.

 • Oversee pilots, proofs of concept, production deployments, and scaling. 

• Track progress, resolve blockers, and maintain delivery momentum.

 5. Governance & Capability Building 

• Support responsible AI adoption, controls, security, and risk management. 

• Establish KPIs, dashboards, and value-tracking mechanisms. 

• Build internal awareness and capability through workshops and leadership sessions

• 7+ years in AI, digital transformation, consulting, or enterprise technology leadership.

 • Strong recent experience in AI, GenAI, analytics, or automation programs. 

• Demonstrated experience working directly with senior executives. 

• Proven record delivering strategic initiatives with measurable business impact. 

• Experience managing complex stakeholder environments. Technical Capability 

• Strong understanding of LLMs, RAG, copilots, AI agents, analytics, and automation. 

• Familiarity with Azure, AWS, GCP, NVIDIA ecosystem, and modern AI platforms. 

• Knowledge of enterprise architecture, integrations, APIs, data platforms, and security.

• Strong understanding of LLMs, RAG, copilots, AI agents, analytics, and automation. 

• Familiarity with Azure, AWS, GCP, NVIDIA ecosystem, and modern AI platforms. 

• Knowledge of enterprise architecture, integrations, APIs, data platforms, and security.

• Executive presence and strong communication skills. 

• Commercial mindset with delivery discipline. 

• Able to operate independently and at pace. 

• Comfortable working across strategy and execution