Job description:

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

Job Title: Product Analyst
Location: Rahway, NJ
Must Have Experience:

1. Product Analyst: with Gen-AI experience Who has Process mind set (Business Analyst background dealing with stakeholders’ engagement, Use Cases, & Implementing Use Cases. (Backlog & release readiness: Facilitate backlog refinement, acceptance criteria, and test evidence (integration/UAT) needed for go-lives; coordinate CAB/exception handling only when warranted by process and capacity
2. At least 1yr experience with Gen-AI
3. Understands Product AI what it does
4. Responsible for bringing in the Best AI platforms suited for building structures
5. Help move towards AI adoption (Improve the SDLC policy and guidance with agents at Client: Author clarifications, playbooks, and examples that address today’s adoption roadblocks; align with Enterprise Architecture, ITRMS, Privacy, and value-team partners; and ensure CMDB/DSDLC alignment for agents
6. Strong Production Mind set.

1. Improving and operationalizing SDLC policy and guidance for agents
2. Running day-to-day operations of the Digital SDLC pipeline for agent releases
3. Ramping Agent Engagement and product discovery so new agent use cases can move from idea to production with clear value and minimal friction

• Improve the SDLC policy and guidance with agents at Client: Author clarifications, playbooks, and examples that address today’s adoption roadblocks; align with Enterprise Architecture, ITRMS, Privacy, and value-team partners; and ensure CMDB/DSDLC alignment for agents.
• Operations for our own SDLC pipeline: Own change records, approvals, and release communications for agent product (agentGPTeal), including versioning, evidence collation, and gating across lower to production environments.
• Ramping up Agent Engagement and product discovery efforts: Run discovery sessions, stakeholder questionnaires, and value hypotheses; maintain the engagement rhythm with product teams and portfolio stakeholders; and translate findings into user stories and release plans.
• Advise teams on approvals & governance: Serve as point of contact for Agent approvals and SDLC/DSDLC approvals, ensuring consistent interpretation and throughput.
• Backlog & release readiness: Facilitate backlog refinement, acceptance criteria, and test evidence (integration/UAT) needed for go-lives; coordinate CAB/exception handling only when warranted by process and capacity.