AI Program Manager

Key Responsibilities :

1. AI Ideation and Roadmap

• Drive AI ideation across business functions to identify and shape high-impact AI opportunities aligned with business priorities.

• Engage with business and functional leaders to understand key challenges, pain points and opportunities where AI can create measurable value.

• Assess and prioritize AI opportunities based on business impact, feasibility, data readiness, complexity and time-to-value.

• Develop and maintain enterprise AI Roadmap including prioritized use-cases, future pipeline and investment requirements.

• Identify opportunities to scale successful AI solutions across functions and business units.

• Continuously track emerging AI capabilities and identify opportunities to apply them to existing and new business processes.

2. AI Execution and Program Management

• Own the end-to-end program lifecyclefrom ideation business case PoC/MVP production scale-up.

• Define program objectives, milestones, dependencies, resources, risks and success metrics.

• Coordinate multiple AI initiatives running in parallel across different business functions.

• Ensure timely resolution of cross-functional dependencies and execution bottlenecks.

• Drive user validation, feedback loops and continuous improvement.

3. AI Adoption and Value Delivery

• Partner with business teams to define measurable outcomes and KPIs for every AI initiative.

• Develop and drive AI adoption and change-management plans.

• Track usage, engagement, user satisfaction and business adoption.

• Establish baselines and track revenue impact, cost savings, productivity, quality, customer experience and risk reduction.

• Build and maintain portfolio-level dashboards for AI investment, adoption and value realization.

4. AI Governance & Responsible AI

• Establish and drive adherence to AI governance processes along with Cybersecurity team covering: Responsible AI, Data privacy and security, Model risk, AI evaluation and quality, Human-in-the-loop controls, Regulatory and compliance requirements

• Ensure appropriate AI evaluation/eval frameworks, monitoring and model performance tracking are incorporated into production solutions.

5. AI Ecosystem & Partner Management

• Partner with relevant teams to ensure Thermax AI Studio is scalable, secure, reliable and fit for the growing AI portfolio.

• Manage relationships with AI technology partners, startups and consultants.

• Evaluate emerging AI technologies, platforms and solutions relevant to the organization.

• Support vendor selection, PoCs, commercial discussions and partner performance management.

• Track and report AI platform TCO and own cost governance and optimization

6. Leadership & Stakeholder Management

• Build strong relationships with business and functional leaders to understand strategic priorities and drive AI adoption.

• Facilitate leadership reviews by providing executive level visibility on AI portfolio progress, key outcomes, investments and value realization.

• Drive an enterprise AI culture through awareness, knowledge sharing and AI adoption programs.

Skills & Qualifications

• 8+ years of experience in Product, Project or Program management, digital transformation, technology consulting or AI transformation.

• 23+ years of experience working on AI/GenAI projects or programs preferred.

• Proven experience taking technology initiatives from concept to production and adoption.

• Experience managing multiple strategic initiatives across business and technology teams.

• Experience working with senior stakeholders and cross-functional teams. Skills Must Have

• Strong program/project management and execution skills.

• Understanding of Generative AI, LLMs, RAG, AI Agents, ML and AI product lifecycle.

• Strong business acumen and ability to translate business problems into AI opportunities.

• Experience in business case development, prioritization and value measurement.

• Strong stakeholder management, influencing and executive communication skills.

• Understanding of data, cloud and AI technology ecosystems.

• Strong problem-solving, analytical and structured-thinking skills.

• Ability to work effectively in a fast-changing, ambiguous AI environment.

Good to Have :

• Experience with Agentic AI / AI Agents.

• Experience with AI governance, Responsible AI and AI evaluation.

• Experience with enterprise AI platforms such as Azure AI, AWS, Databricks, OpenAI, Anthropic, etc.

• Experience in industrial/manufacturing, engineering, energy or B2B environments.

• PMP/PGMP, Scrum/Agile or equivalent certification.