Ditto's CV
Profile summary
Strategic AI Pod Lead and Scrum Master with 15 years shaping enterprise AI, digital transformation, and Agile delivery outcomes across global markets including GCC experience. Known for leading AI/GenAI capability development, steering enterprise Agile transformations, and governing complex technology roadmaps. Committed to driving operational excellence through structured testing, stakeholder alignment, and continuous delivery improvement.
Career highlights
AI Pod Leadership: Led the AI POD responsible for identifying, prioritizing, developing, testing, and delivering AI capabilities and automation initiatives aligned with business and technology objectives.
Agile Transformation: Led enterprise Agile transformation across six global product teams supporting multiple enterprise platforms while establishing standardized operating models and estimation frameworks.
Delivery Governance: Managed enterprise Data and Analytics initiatives while maintaining executive dashboards and delivery metrics to enable data-driven decision making and resolve technical dependencies.
Professional Certification: Held the Project Management Professional and Certified Scrum Master credentials alongside the Artificial Intelligence Professional Agilist certification.
Key skills
Professional experience
- Lead the AI POD responsible for identifying, prioritizing, developing, testing, and delivering AI/GenAI capabilities and automation initiatives aligned with business and technology objectives.
- Drive AI initiative planning across roadmaps, use cases, delivery milestones, dependencies, risks, stakeholder alignment, and implementation priorities.
- Lead enterprise Agile transformation across six global product teams supporting eLIMS, SampleMaster, Titan, LabSoft, LabAiQ, and WinLIMS-DE platforms.
- Establish standardized Agile operating models, sprint cadence, backlog readiness, DoR, DoD, and estimation frameworks, contributing to a 30% improvement in sprint predictability.
- Drive structured approaches for AI agent testing and validation, including functional behaviour, exception handling, negative scenarios, boundary conditions, and business requirements.
- Support enhancement of AI agents and skills by expanding business scenarios and strengthening validation and testing coverage.
- Drive AI governance and responsible adoption practices across AI/GenAI initiatives.
- Facilitate Scrum ceremonies, Quarterly Planning, Scrum of Scrums, dependency management workshops, and ROAM sessions for globally distributed teams.
- Administer Jira and Confluence environments, including workflow configuration, KPI dashboards, permissions management, Agile governance standards, and enterprise reporting.
- Govern release readiness reviews and go-live planning across engineering, QA, infrastructure, and business stakeholders.
- Deliver executive KPI reporting covering velocity, predictability, cycle time, lead time, release readiness, and delivery metrics.
- Identify opportunities for intelligent automation and reduction of manual operational effort through AI/GenAI capabilities.
Directed enterprise data and analytics initiatives, coordinating cross-functional teams spanning engineering, product management, data science, quality assurance, and business stakeholders. Maintained executive dashboards and delivery metrics.
- Reduced lead time by 30% through improved Agile planning, dependency management, and delivery governance.
- Collaborated with architecture and DevOps teams to resolve technical dependencies and achieve 100% delivery adherence.
Shaped airline digital transformation strategy and steered globally distributed teams. Coordinated roadmap planning, risk management, and stakeholder engagement.
- Facilitated Agile delivery and release governance, maintaining schedule adherence between 95 and 100 percent.
- Established release readiness governance and deployment checklists for mission-critical releases.
- Improved team efficiency by 40 percent through process improvement and delivery excellence initiatives.
Guided agile delivery within a scaled framework, running program increment planning, scrum of scrums, backlog refinement, and release planning. Resolved client escalations and managed cross-team dependencies to maintain operational stability.
- Improved team velocity by 25% through backlog optimization and enhanced planning practices.
- Implemented executive reporting frameworks and agile KPI dashboards providing complete stakeholder visibility.
- Executed Agile transformation initiatives across multiple pharmaceutical and life sciences product teams, resulting in 20% improvement in sprint efficiency.
- Coordinated release readiness reviews and Go/No-Go decisions for major enterprise releases with 100% deployment success.
- Improved delivery quality and team productivity through process improvements and mentoring initiatives.
- Contributed to enterprise application development and testing activities by resolving software defects and supporting system deployments.
- Facilitated stakeholder communication to track project requirements and maintain defect management workflows.
- Steered AI and GenAI initiatives covering AI agents, automation, AI governance, testing, and enterprise use cases.
- Established structured approaches for validating AI agent behavior across functional, negative, boundary, and exception scenarios.
Education
Computer Science | Tamil Nadu, India