About The Role

About Business

Adani Group: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. It has created a world-class logistics and utility infrastructure portfolio that has a pan-India presence. Adani Group is headquartered in Ahmedabad, in the state of Gujarat, India. Over the years, Adani Group has positioned itself to be the market leader in its logistics and energy businesses focusing on large-scale infrastructure development in India with O & M practices benchmarked to global standards. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India.

Job Purpose: The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization.

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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.

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.