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Digital & GenAI Analyst - Consulting at HEXAWARE

, , India -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Management, GenAI Strategy, LLM Capabilities, RAG, Fine-tuning, Product Roadmap, Stakeholder Management, KPI Definition, Sprint Planning, UX/UI Collaboration, Ethical AI, Data Workflows, ROI Analysis, User Stories, AI Lifecycle, Business Analysis

Industry

IT Services and IT Consulting

Description

Role : AI Product Manager Key Roles & Responsibilities: • Define AI product vision, strategy, and roadmap aligned with business goals. • Identify and prioritize GenAI use cases based on ROI, feasibility, and impact. • Translate business requirements into clear product requirements and user stories. • Collaborate with AI Architects and SMEs to ensure technical feasibility. • Drive product decisions such as: • Build vs buy vs partner • Model selection (open-source vs API-based LLMs) • RAG vs fine-tuning strategies • Define KPIs and success metrics for AI products (accuracy, latency, adoption, cost). • Own backlog prioritization and sprint planning with engineering teams. • Work closely with UX/UI teams to ensure intuitive AI experiences. • Manage stakeholder expectations and executive communication. • Ensure AI products comply with ethical AI, privacy, and security guidelines. Required Skills & Experience: • 15+ years in Product Management, with strong AI/GenAI exposure. • Proven experience launching AI or data-driven products. • Strong understanding of: • LLM capabilities and limitations • AI lifecycle and deployment challenges • Excellent communication, storytelling, and decision-making skills. • Ability to balance technical depth with business outcomes. Additional Qualifications: • Bachelor’s degree in Engineering, Computer Science, Business, or related. • 6+ years as a product manager with at least 3+ years in AI/ML/GenAI product leadership. • Demonstrated success launching AI-driven products or features. • Strong analytical, business, and stakeholder management skills. • Deep understanding of AI/ML model lifecycles and data workflows.

Responsibilities

Define the vision, strategy, and roadmap for AI products while prioritizing GenAI use cases based on ROI and feasibility. Collaborate with technical teams to manage the product backlog and ensure compliance with ethical AI and security guidelines.