Senior Consultant-AI Transformation

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.