Aditya Thakur

Roles & Responsibilities:

• Serve as Scrum Master supporting data-driven, analytics, and reporting initiatives, enabling Agile delivery across BI, dashboards, and insight-driven programs.
• Foster collaboration between cross-functional teams including Data Engineers, BI Developers, QA, and business users to ensure smooth analytics delivery.
• Enabled Agile delivery for BI & Reporting workstreams, including Power BI dashboards, KPI scorecards, and analytics reporting solutions.
• Facilitated all Scrum ceremonies while adapting Agile practices pragmatically for analytics, reporting, and data engineering workflows.
• Worked closely with Product Owners and BI Leads to refine backlogs, ensuring user stories clearly defined reporting requirements, business rules, and acceptance criteria.
• Coordinated dependencies between data pipelines, semantic models, reporting layers, and business validation activities.
• Supported SIT, UAT, and release readiness for BI deliverables, ensuring data accuracy and stakeholder sign-off.
• Facilitate all Agile ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives, ensuring disciplined execution and stakeholder alignment.
• Support PI Planning by enabling team breakouts, capacity planning, dependency identification, and ensuring readiness of features for ART execution.
• Lead Scrum of Scrums, ART Sync, and collaboration with cross-team stakeholders to improve visibility, manage risks, and support value delivery.
• Implement Kanban practices (WIP limits, flow visualization, CFD, lead time analysis) to improve workflow stability and delivery predictability.
• Partner with Product Owner to refine epics, features, and user stories, ensuring backlog health and WSJF-based prioritization in SAFe environments.
• Drive continuous improvement through coaching on engineering excellence, TDD/BDD, CI/CD, automated testing, and cross-functional collaboration.
• Use Agile and flow metrics—velocity, cycle time, flow efficiency, burndown, predictability—to guide decisions, identify blockers, and improve team performance.
• Maintain governance alignment by ensuring Jira/Confluence accuracy, reporting progress, and presenting team health updates to PMO and leadership.
• Maintained Agile delivery dashboards and sprint metrics to provide transparency on progress, risks, and delivery health.
• Supported exposure to AI / GenAI-assisted analytics initiatives, facilitating Agile execution and collaboration between business and technical teams.

Roles & Responsibilities:

• Facilitate all Scrum ceremonies—Sprint Planning, Daily Scrum, Sprint Reviews, and Retrospectives—while ensuring alignment to SAFe Lean-Agile principles.
• Support PI Planning by enabling team breakouts, capacity planning, dependency identification, and ensuring readiness of features for ART execution.
• Lead Scrum of Scrums, ART Sync, and collaboration with cross-team stakeholders to improve visibility, manage risks, and support value delivery.
• Implement Kanban practices (WIP limits, flow visualization, CFD, lead time analysis) to improve workflow stability and delivery predictability.
• Partner with Product Owner to refine epics, features, and user stories, ensuring backlog health and WSJF-based prioritization in SAFe environments.
• Drive continuous improvement through coaching on engineering excellence, TDD/BDD, CI/CD, automated testing, and cross-functional collaboration.
• Use Agile and flow metrics—velocity, cycle time, flow efficiency, burndown, predictability—to guide decisions, identify blockers, and improve team performance.
• Maintain governance alignment by ensuring Jira/Confluence accuracy, reporting progress, and presenting team health updates to PMO and leadership.

Roles & Responsibilities:

• Led multiple Scrum teams delivering enterprise BI, analytics, and reporting solutions within SAFe and Scrum frameworks.
• Facilitated end-to-end Agile ceremonies and Scaled Agile events including PI Planning, Scrum of Scrums, ART Sync, System Demos, and Inspect & Adapt workshops.
• Supported delivery of Power BI dashboards, operational reports, and analytics features, coordinating across Data Engineering, QA, UI/UX, and business teams.
• Ensured backlog readiness for analytics and reporting use cases, including KPI definitions, reporting logic, and data dependencies.
• Tracked flow and Agile metrics (velocity, burndown, CFD, lead time, predictability) to identify bottlenecks and drive continuous improvement.
• Worked extensively with Azure DevOps and Jira for sprint tracking, dependency management, and governance reporting.
• Promoted DevOps and CI/CD best practices, supporting release coordination and improving deployment predictability for analytics platforms.
• Acted as an escalation point for delivery risks, data quality issues, and cross-team dependencies.

Roles & Responsibilities:

• Drove Agile delivery across multiple teams supporting data-driven platforms, reporting solutions, and enterprise analytics programs.
• Facilitated core Scrum and SAFe ceremonies, ensuring alignment between sprint goals, business priorities, and analytics deliverables.
• Collaborated with Product Owners and stakeholders to refine features and user stories related to reporting, dashboards, and business metrics.
• Coordinated dependencies across data engineering, BI development, QA, and platform teams, ensuring timely delivery of analytics solutions.
• Supported release planning, SIT/UAT coordination, and deployment readiness for reporting and analytics initiatives.
• Maintained Agile dashboards and delivery metrics, presenting sprint and program health to leadership and PMO stakeholders.
• Encouraged adoption of CI/CD and quality-first practices to improve stability and reliability of data and reporting releases.

Roles & Responsibilities:

• Supported process execution and reporting operations, maintaining dashboards, reports, and operational trackers for business stakeholders.
• Implemented Kanban-based workflows to improve visibility, reduce cycle time, and enhance delivery predictability.
• Collaborated with cross-functional teams to improve data accuracy, reporting quality, and turnaround time.
• Assisted with requirement clarification, workflow coordination, documentation, and stakeholder communication.
• Participated in continuous improvement initiatives aligned with Lean and Agile principles, contributing to process efficiency and transparency.