GOKULDAS K

• Defined program scope and roadmap for large-scale, multi-team initiatives in collaboration with product, architecture, and engineering leadership, enhancing planning efficiency by 30% and improving alignment across over six teams.
• Directed multiple engineering teams across product, platform, and operations to deliver complex cross-functional programs, achieving up to 40% improvements in reliability, performance, or customer impact based on specific initiatives.
• Reduced program risks by 40% through structured dependency management practices, establishment of early escalation channels, and the adoption of a unified risk-governance framework.
• Enhanced stakeholder satisfaction scores by 30% by instituting transparent communication rhythms with leadership, engineering managers, and cross-functional partners.
• Improved delivery scalability and reduced technical debt accumulation by 20% Year-on-Year by driving adoption of emerging technologies and advanced engineering methodologies.
• Implemented Generative AI (GenAI) solutions and workflow automation mechanisms that increased operational agility and data accuracy by 25%, reduced manual reporting efforts by 60%, and accelerated decision-making cycles.
• Developed real-time ServiceNow-Power BI operational dashboards to enhance SLA visibility, audit compliance readiness, and reporting turnaround time by 80%.
• Strengthened operational resilience through leadership of incident governance programs and root cause analysis (RCA), achieving a 25% YoY reduction in recurring critical incidents and a 35% improvement in Mean Time to Recovery (MTTR).
• Achieved a 30% increase in cross-team delivery predictability through metrics-based sprint governance practices, enhanced dependency visibility systems, and automation of program health indicators.

• Driven Agile transformation initiatives across multiple Scrum teams, fostering engineering collaboration, standardizing Scrum practices, and achieving measurable improvements in performance with a 25% increase in velocity and a 30% boost in predictability.
• Implemented lean, SLA-oriented operational workflows to reduce incident turnaround time by 35%, improve system stability, and decrease engineering interruptions.
• Addressed delivery inefficiencies through Kanban systemization and value stream mapping, reducing process friction by 30% and accelerating cycle times across teams.
• Introduced Lean-Agile delivery frameworks and provided role-specific coaching, resulting in enhanced sprint quality, greater team engagement, and a 20% rise in story acceptance rates.
• Oversaw critical delivery KPIs—including cycle time, throughput, defect rates, and quality metrics—ensuring over 95% SLA adherence while improving executive insights into operational health.
• Advocated for enterprise-wide process optimization programs that drove a 35% increase in operational efficiency, expedited incident resolution, and delivered noticeable improvements in end-to-end workflow continuity.

Chandigarh University

University of Calicut