AI Product Expert - Mahindra.AI

Responsibilities & Key Deliverables

Role Purpose

Lead the end-to-end strategy, build and scaling of AI-led products across Mahindra businesses—driving measurable business impact through data, AI, and platform-led solutions.

Key Responsibilities

1. Product Strategy & Vision

• Define and own the AI product roadmap aligned to Mahindra group priorities (Auto, Farm, Financial Services, etc.)
• Identify high-impact AI use cases (revenue growth, cost optimisation, customer experience)
• Build long-term product vision with scalable, platform-led thinking

2. Product Development & Execution

• Drive end-to-end product lifecycle: ideation → MVP → scale
• Work closely with Data Science, Engineering, and Business teams to deliver AI-first products
• Translate business problems into product requirements and technical solutions

3. Business Impact & Adoption

• Own product adoption, ROI, and commercialisation of AI solutions
• Partner with business leaders to embed AI into core workflows
• Track KPIs: usage, impact, revenue/cost impact, model performance

4. Stakeholder Leadership

• Influence senior stakeholders (CXOs, Business Heads) on AI-first transformation
• Act as a bridge between business, tech, and analytics teams
• Drive governance, prioritisation, and decision-making forums

Experience

• 10–15 years of experience in Product Management / Strategy / Consulting
• Strong experience in building/scaling digital or data/AI products
• Exposure to platforms, ecosystems, or enterprise transformation is preferred

Industry Preferred

Qualifications

• MBA from Tier 1 institute
• Engineering / Analytics / STEM background preferred

General Requirements

Core Competencies

• Strong product thinking with business impact orientation
• Ability to work across ambiguity and drive 0→1 builds
• AI/Data understanding (pro level user of LLMs, use case applicability, usage of AI agents to accelerate impact/product builds)
• Executive stakeholder management (CXO level)
• Structured problem solving (consulting-style thinking preferred)

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