• Own end-to-end execution of agentic AI product builds across the full lifecycle — from requirement gathering and process mapping through deployment, hypercare, and continuous iteration; define and track performance metrics including accuracy rates, exception volumes, SLA adherence, and human handoff frequency to ensure products perform at the standard clients expect
• Translate operational pain points from enterprise service lines into clear product requirements, agent logic, and workflow configurations; work directly alongside engineering and AI teams to build, test, and refine — staying close enough to the product to catch what looks right on paper but breaks in practice
• Develop solid working knowledge of the service line your product serves — whether AP, R2R, Insurance, Banking, or equivalent — understanding how the work actually happens on the ground, where friction lives, where exceptions spike, and where intelligent agents can create the most meaningful operational impact
• Run structured UAT cycles, identify failure patterns early, and drive resolution with speed and precision; maintain a sharp and honest feedback loop between what is deployed in production and what needs to improve in the next sprint
• Act as the connective tissue between product, technology, delivery, and internal business stakeholders — synthesizing inputs from multiple directions into clear decisions, crisp communication, and forward momentum without letting coordination become a bottleneck
• Participate in select client conversations as a product execution representative — supporting pilots, demos, and functional deep dives; contribute grounded product content to RFPs, solution narratives, and business cases without overpromising what the technology can deliver today
• Build and maintain reusable assets including process maps, exception catalogues, workflow playbooks, and deployment decision logs that codify institutional knowledge and accelerate future builds across the team and broader GenpactNext portfolio
• Mentor and support junior team members on product execution discipline, structured problem solving, and applied AI thinking within enterprise operations contexts
• Extensive experience in product management, business analysis, or technology delivery within enterprise operations, BPS, GBS, or technology services environments — with a clear track record of taking AI, automation, or digital transformation products from concept through to live deployment