AI Product Manager

Purpose/Objective

To lead the product lifecycle and program management for cutting-edge AI financial solutions, driving business process reengineering and strategic technology deployments within the Finance domain.
This role bridges financial operations, SAP integrations, and advanced AI architecture to maximize ROI, streamline workflows, and ensure seamless third-party ecosystem connectivity via APIs, aligning with Adani’s broader digital transformation goals.

Key Responsibilities of Role

P Key Responsibilities - Lead the end-to-end product lifecycle for AI products in finance, from ideation and requirement gathering to deployment, scaling, and continuous product development.
- Drive comprehensive business process reengineering by identifying high-value opportunities for AI integration within existing financial workflows and SAP environments.
- Design and author detailed Business Requirement Documents (BRDs), Product Requirement Documents (PRDs), and Statements of Work (SoWs) for enterprise AI initiatives.
- Orchestrate SAP integration for critical financial modules (e.
g.
, Order-to-Cash, Treasury) and manage third-party system integrations via secure APIs.
- Calculate, track, and present ROI for AI projects to ensure strict alignment with financial objectives and strategic business growth.
- Manage the development, scope, and implementation of foundational AI agents, optimizing business flows and generating precise user stories.
- Lead Agile methodologies, including sprint planning, backlog grooming, and scope management for cross-functional technical teams.
- Act as the primary liaison for stakeholder management across finance, engineering, and executive leadership, ensuring seamless communication.
- Oversee vendor management, collaborating with external technical partners to align solution designing with internal architectural standards and API integration protocols.
Domain Expertise & Operational Tools - Strong capability in solution designing, mapping business flows, and translating complex technical requirements into actionable business value.
- Fundamental understanding in enterprise SAP environments and orchestrating third-party system interoperability via APIs.
- Fundamental understanding of Cloud Architecture basics (e.
g.
, AWS, Azure) to effectively guide AI deployment strategies.
- Basic proficiency in Agile project management platforms (e.
g.
, Jira, Confluence, Azure DevOps) for sprint planning and user story management.
Leadership Capabilities - Strong stakeholder management skills, capable of influencing critical decisions across diverse technical and financial teams.
- Effective and clear communication skills, adept at articulating complex AI product visions and API integration timelines to non-technical business leaders.

Technical Competencies

AI Governance, Compliance & Ethical AI-SDIL,AI Model Development & Optimization-SDIL,AI Product & Solution Development-SDIL,AI Research, Experimentation & Emerging Technologies-SDIL,AI Strategy & Enterprise Transformation-SDIL,Cross-Functional Collaboration & AI Integration-SDIL,Predictive Analytics & Business Intelligence-SDIL

Qualifications and Experience

Required Qualifications & Experience - Master of Business Administration (MBA) with a specialization in Finance, Product Management, Digital, or Artificial Intelligence.
- 4–10 years of direct experience in Product Management or Program Management (specifically bridging finance and technical domains would be a plus though not mandatory).
- Demonstrated capability in managing the full product lifecycle, executing Agile/Scrum methodologies, and deploying API and SAP integrations.
Educational Background - MBA in Finance / Product / AI/ Digital from a recognized institution.
- Foundational academic exposure or certifications in technology, cloud architecture, or engineering would be preferred.