AI Transformation Manager

Good co India

India

Remote

INR 2,400,000 - 4,800,000

Full time

14 days+
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Job summary

Good co India seeks a seasoned AI transformation leader to drive enterprise GenAI programs from strategy to production, shaping roadmaps, business cases, ROI, and value realization.

You will partner with C-suite and across business, tech, and data teams, lead cross-functional initiatives across AWS/Azure/Google Cloud, and build governance, change management, and adoption metrics.

Qualifications

  • 5–10 years in AI/digital transformation.
  • Experience delivering enterprise AI programs.
  • Strong governance, risk, and data privacy knowledge.
  • Experience with cloud platforms and enterprise tech.

Responsibilities

  • Lead AI and GenAI transformation initiatives from strategy through value realization.
  • Develop enterprise AI transformation roadmaps prioritizing high-impact use cases.
  • Partner with business, technology, data, product, and operations leaders to identify AI opportunities.
  • Evaluate and implement Generative AI, LLM, AI Agent, automation, and intelligent workflow solutions.
  • Conduct AI use-case discovery, business case development, ROI analysis, and value assessment.
  • Lead POCs and pilots and transition validated solutions into production.
  • Define AI adoption frameworks covering governance, responsible AI, security, risk, and change management.
  • Drive process reengineering and automation initiatives using AI and emerging technologies.
  • Manage senior stakeholders and communicate AI strategy, progress, risks, benefits, and outcomes to leadership.
  • Lead cross-functional teams across business, technology, data science, engineering, operations, and partners.
  • Develop operating models, implementation plans, KPIs, and AI adoption metrics.
  • Identify emerging AI technologies and assess applicability to enterprise needs.
  • Support vendor evaluation, RFPs, solution assessments, and partnerships.
  • Drive organizational change management and AI literacy initiatives.
  • Ensure programs are delivered within scope, timelines, budgets, quality, and governance.

Skills

AI strategy
Transformation programs
Stakeholder management
Agile/Scrum
Cloud platforms
Python/SQL
Executive engagement

Education

Bachelor's in CS/IT/Engineering
MBA/PGDM
Data Science

Tools

AWS
Azure
Google Cloud
Azure OpenAI
Copilot

Job description

Role & responsibilities
  • Lead AI and GenAI transformation initiatives from strategy and use-case identification through implementation, adoption, and value realization.
  • Develop enterprise AI transformation roadmaps, prioritizing high-impact use cases based on business value, feasibility, risk, and scalability.
  • Partner with business, technology, data, product, and operations leaders to identify opportunities for AI-driven process and business transformation.
  • Evaluate and implement Generative AI, LLM, AI Agent, automation, and intelligent workflow solutions.
  • Conduct AI use-case discovery, business case development, ROI analysis, and value assessment.
  • Lead POCs and pilots and drive successful transition of validated solutions into production.
  • Define AI adoption frameworks covering governance, responsible AI, security, risk, compliance, and change management.
  • Drive process reengineering and automation initiatives using AI and emerging technologies.
  • Manage senior stakeholders and communicate AI strategy, progress, risks, benefits, and business outcomes to leadership.
  • Lead cross-functional teams across business, technology, data science, engineering, operations, and external partners.
  • Develop operating models, implementation plans, KPIs, and AI adoption and value-realization metrics.
  • Identify emerging AI technologies and assess their applicability to enterprise business requirements.
  • Support vendor evaluation, technology selection, RFPs, solution assessments, and strategic partnerships.
  • Drive organizational change management, AI literacy, employee adoption, and capability-building initiatives.
  • Ensure AI transformation programs are delivered within agreed scope, timelines, budgets, quality, and governance standards.
Preferred candidate profile
  • 5 to 10 years of experience in AI transformation, digital transformation, management consulting, technology consulting, business transformation, product strategy, or a related field.
  • Proven experience delivering AI/GenAI transformation programs or enterprise-scale digital transformation initiatives.
  • Strong understanding of Generative AI, LLMs, AI Agents, RAG, AI automation, intelligent automation, and emerging AI technologies.
  • Ability to identify and prioritize AI use cases and translate business problems into practical technology solutions.
  • Strong experience in AI strategy, transformation roadmaps, business case development, ROI analysis, and value realization.
  • Understanding of AI governance, Responsible AI, AI risk, data privacy, security, and compliance.
  • Experience with process reengineering, operating model transformation, workflow automation, and change management.
  • Strong knowledge of enterprise technology and cloud platforms such as AWS, Azure, Google Cloud, Azure OpenAI, and Microsoft Copilot.
  • Familiarity with Python, SQL, APIs, data analytics, machine learning, and AI/ML solution architecture is preferred.
  • Strong program/project management experience with Agile/Scrum methodologies.
  • Excellent stakeholder management, communication, presentation, influencing, and executive-level engagement skills.
  • Experience managing cross-functional teams and working with senior business and technology leadership.
  • Prior experience in management/technology consulting, Big 4, strategy consulting, or large enterprise transformation is highly desirable.
  • Bachelor's degree in Computer Science, IT, Engineering, Data Science, Business Administration, or a related field.
  • MBA/PGDM in Strategy, Technology Management, Business Analytics, Digital Transformation, or Management is an advantage.
  • Relevant certifications in AI/GenAI, Cloud, Digital Transformation, Lean Six Sigma, Agile/Scrum, Change Management, or Project Management are desirable.
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