Sai krishna

- Owned the product roadmap and execution strategy for AI-powered workflow automation and predictive intelligence solutions, increasing process automation adoption by 45% across enterprise operations. - Partnered with customers, business stakeholders, and engineering teams to define product vision, prioritize features, and deliver high-impact AI capabilities that reduced incident resolution time by 35%. - Led end-to-end product lifecycle management for Generative AI, intelligent ticket routing, and predictive analytics features, improving operational efficiency by 40%. - Defined product requirements, user stories, and success metrics for AI-driven initiatives, contributing to a 30% increase in user adoption and engagement. - Leveraged customer feedback, usage analytics, and KPI dashboards to drive data-informed product decisions, improving customer satisfaction scores by 25%. - Collaborated with engineering, AI/ML, and platform teams to accelerate feature delivery cycles by 30% while maintaining product quality and scalability. - Drove cross-functional alignment across product, engineering, security, and operations teams, resulting in 98% on-time delivery of strategic product releases.

- Managed product strategy and roadmap execution for enterprise workflow automation and modernization platforms, reducing manual operational effort by 35% and improving turnaround time by 28%. - Conducted customer discovery sessions and stakeholder workshops to gather requirements, resulting in the successful delivery of 20+ product enhancements aligned with business objectives. - Prioritized product backlogs and defined user stories for multiple Agile teams, improving release predictability and achieving 90%+ on-time delivery. - Introduced product analytics and KPI reporting frameworks that increased visibility into customer adoption, operational performance, and business outcomes by 40%. - Collaborated with engineering teams to launch scalable cloud-based solutions leveraging AWS, REST APIs, and event-driven architectures, reducing onboarding time by 30%. - Partnered with executive stakeholders to align product investments with business goals, contributing to a 25% increase in platform utilization and customer retention.

- Supported product planning, roadmap development, and feature prioritization for enterprise applications serving multiple business functions and customer groups. - Gathered and translated business requirements into detailed user stories and acceptance criteria, improving development efficiency by 25%. - Worked closely with engineering, QA, and business teams to deliver new product features and enhancements, increasing release success rates by 30%. - Established product performance tracking and KPI reporting processes that improved decision-making and stakeholder visibility across product initiatives. - Conducted market research, competitive analysis, and customer feedback assessments to identify opportunities for product improvement and innovation. - Coordinated Agile ceremonies, sprint planning, and release activities, helping reduce delivery bottlenecks by 20% and improving team productivity.