Agile Project Manager / Senior Scrum Master at Deloitte (2017-05 – 2026-05)
Led end-to-end technology delivery for U.S. healthcare, life sciences & pharmaceutical clients across Scrum, Kanban, and SAFe delivery models. Dual responsibilities spanning Scrum Master leadership, PMO transformation, and AI product innovation.
- Owned end-to-end delivery of $35M+ in technology programs for U.S. healthcare and pharmaceutical clients — managing scope, schedule, risk, and stakeholder alignment across concurrent work-streams from initiation to go-live.
- Led 9+ cross-functional Agile teams (~80+ engineers and analysts) across distributed onsite-offshore models — aligning sprint goals, milestone dependencies, and priorities across time zones to maintain programme coherence at scale.
- Reduced lead time and cycle time by 30% via Jira-based continuous KPI monitoring — architected custom workflows, dashboards, and permission schemes for 9+ teams that reduced cross-team tracking overhead.
- Facilitated full Scrum cadence (sprint planning, daily stand-ups, sprint reviews, retrospectives, backlog grooming) simultaneously across multiple teams in Scrum, Kanban, and SAFe delivery models.
- Partnered with 5+ Product Owners on product roadmap planning, backlog refinement, and sprint commitment — bridging strategic business priorities with delivery team capacity to ensure value-first sequencing.
- Represented Scrum Master role in SAFe PI Planning and ART execution events; supported Agile transformation and framework standardization across client engagements.
- Led Agile transformation for an enterprise-wide healthcare migration programme across 6+ cross-functional teams, embedding Agile ways of working organization-wide — resulting in improved sprint velocity, faster time-to-market, and high stakeholder adoption.
- Increased average team velocity by 25% over 6 sprint cycles through targeted Agile coaching — addressing root causes in backlog health, estimation accuracy, and definition-of-done clarity.
- Built PMO governance framework from scratch — implementing KPI dashboards, risk registers, and executive reporting cadences that delivered a 30% improvement in on-time delivery across managed programs.
- Mentored 50+ engineers, analysts, and product staff on Scrum values and Agile self-organisation — creating a measurable shift from status-reporting culture to inspect-and-adapt culture.
- Spearheaded organization-wide migration from Excel to Smartsheets as PMO Lead, automating critical PMO workflows and delivering 40%+ cumulative daily effort savings across the programme office.
- Consolidated 3 manual onboarding emails into a single automated Smartsheets notification — reducing daily onboarding effort by 15% and eliminating process errors.
- Implemented automated end-date tracking and offboarding alerts, eliminating manual resource monitoring, reducing daily effort by 5%, and mitigating resource access retention risks.
- Built a multi-stage automated RAID reminder system (pre-due, on-due, and 7-day post-due alerts), driving timely resolution of risks, actions, issues, and dependencies — saving 20% in daily PMO effort.
- Authored the firm-wide PMO Playbook encompassing standardized templates, tools, and best practices; adopted organization-wide by new and experienced PMO practitioners alike — contributing to a 35% improvement in overall delivery efficiency.
- Served as Product Owner and Team Lead for a 6-member internal Deloitte AI innovation team, designing and delivering an end-to-end two-agent AI pipeline that automates the full journey from Business Requirements Document (BRD) to sprint-ready Jira stories — achieving an 82% end-to-end success rate on complex, unstructured real-world inputs.
- Conceptualized and product-managed an AI agent that ingests BRDs and autonomously generates structured Functional and Technical Requirements, eliminating manual analysis effort and accelerating upstream delivery.
- Led development of a downstream AI agent that transforms requirements into formatted User Stories, auto-estimates story points, applies team velocity to allocate stories across sprints, and exports a Jira-ready.csv file — reducing story-writing effort from 4 hours to under 30 minutes per sprint cycle.
- Configured AI-assisted delivery tooling (Microsoft Copilot) to automate sprint summary generation, meeting notes, and reporting — improving team efficiency and reducing administrative overhead.
Developer → Tech Lead → Production Support Lead at Infosys (2007-06 – 2017-05)
- Led production support for mission-critical Mainframe applications — implemented structured incident management and root-cause analysis protocols, achieving >99% system uptime SLAs.
- Owned the monthly release calendar, coordinating with business, infrastructure, and development teams to enable timely issue resolution and service reliability.
- Led a development team of 8–10 engineers across the full SDLC for COBOL/JCL Mainframe applications — conducting code reviews, enforcing architectural standards, and translating business requirements into delivery plans.
- Introduced structured peer review practices that reduced production defect rate by an estimated 20% and improved release quality across delivery cycles.
- Designed, developed, and unit-tested Mainframe (COBOL/JCL/DB2) application modules for large-scale enterprise systems — building technical depth in system architecture, data processing, and performance optimization that directly underpins my Agile practice.
- Led offshore delivery teams on major healthcare mandate projects including HIPAA 5010, ICD10, and system migration programs.
