- Location
- Gurugram, Haryana, India · published
- Type
- Full-time
- Department
- IT
- Seniority
- Lead
- Source
- Workable
Description
Artificial Intelligence - India Lead
Director
Interpath | Gurugram
About Interpath
Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning Deals, Advisory and Restructuring capabilities.
We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to be made. Interpath is agile, independent, and conflict-free, and our passion for doing what’s right, every time, sets us apart.
Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world’s leading advisory firms with a truly global footprint.
About the role
You will own the vision, priorities, governance and leadership alignment for the AI function. You set the roadmap, keep delivery well-governed and value-focused, and act as the single senior point of accountability to executive sponsors — translating enterprise ambition into a prioritized portfolio delivered from India.
Key responsibilities artificial intelligence
- Set priorities & roadmap — define and own the AI strategy, priorities and 12–24 month roadmap, aligned to business goals and the global AI agenda.
- Own governance & reporting — establish and run portfolio governance, responsible-AI guardrails, risk and compliance, and executive value/ROI reporting.
- Align with leadership — act as the primary interface to executive sponsors and global stakeholders; secure funding, manage expectations and report progress, risk and value.
- Build and lead the team (Engineer, PMO Lead, AI Support and delivery pods); own org design, hiring, capacity planning and retention.
- Own build/buy/partner decisions, the AI budget, and cloud and vendor relationships.
- Drive use-case prioritization and value realization; remove blockers across legal, security, procurement and infrastructure.
- Champion an AI-literate culture and responsible adoption across the organization.