Summary :

This role involves leading product strategy and discovery to drive business growth through stakeholder engagement and data analysis. You will spearhead digital innovation by integrating Generative AI and automation into scalable product solutions. The position requires managing the full product lifecycle while collaborating with cross-functional teams to ensure successful delivery. You will also support presales efforts by developing solution concepts and proposals to address complex client challenges. Ultimately, you will mentor team members and ensure all products deliver measurable business and customer outcomes.

Roles & Responsibilities :

Product Strategy & Discovery :

- Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.

- Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.

- Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.

- Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.

AI & Digital Innovation :

- Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.

- Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.

- Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.

- Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.

- Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.

Presales, Consulting & Solutioning :

- Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.

- Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.

- Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.

- Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.

- Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.

Product Delivery & Governance :

- Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.

- Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.

- Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.

- Drive stakeholder alignment and continuous improvement throughout the product lifecycle.

- Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.

Customer & Business Outcomes :

- Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.

- Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.

- Ensure products and solutions deliver measurable customer, business, and operational outcomes.

Core Competencies :

- Product strategy, discovery, roadmap planning, prioritization, and backlog management.

- Generative AI, AI product thinking, AI use-case identification, and digital innovation.

- Presales, consulting, solutioning, RFP response management, and client engagement.

- Strong business acumen with the ability to connect technology initiatives to business outcomes.

- Excellent communication, presentation, facilitation, and stakeholder management skills.

- Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.

- Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.

- Strong analytical, problem-solving, and decision-making capabilities.

- Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.

Qualifications :

- B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.

- MBA or certifications in Product Management, Business Analysis, or related fields preferred.

- 10+ years of experience in Product Management, Product Ownership, or Business Analysis.

- Experience working in Agile/Scrum environments with cross-functional technology teams.

- CSPO, PSPO, CBAP, or CCBA certifications are desirable.