Artificial Intelligence Product Manager

adani capital pvt ltd; Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

adani capital pvt ltd is seeking an AI Product Manager to own the end-to-end lifecycle of AI products in finance, from ideation to deployment and scaling. You will design BRDs, PRDs and SoWs, and drive SAP integrations and secure API connections.

Lead Agile sprints, manage stakeholders across finance, engineering and leadership, and quantify ROI to align with strategic goals while guiding vendors and architecture.

Qualifications

• MBA with Finance/Product/AI/Digital specialization
• 2-4 years of PM/Program Management bridging finance and tech
• Experience in Agile/Scrum and deploying API and SAP integrations

Responsibilities

• Lead end-to-end product lifecycle for AI in finance including ideation to deployment
• Drive AI integrations in SAP environments and manage API integrations
• Develop BRDs, PRDs and SoWs for enterprise AI initiatives
• Lead stakeholder management across finance, engineering and leadership
• Oversee vendor management and ensure architectural alignment with APIs

Skills

Stakeholder management

Communication skills

Agile/Scrum

API integration

SAP familiarity

Education

MBA (Finance/Product/AI/Digital)

Cloud/Tech certifications

Tools

Jira

Confluence

Azure DevOps

Job description

AI Product Manager Responsibilities 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.

Qualifications Required Qualifications & Experience

Master of Business Administration (MBA) with a specialization in Finance, Product Management, Digital, or Artificial Intelligence. 2-4 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.