Vaibhav is available for hire
Hire VaibhavVaibhav Kaushik
Verified Expert in Project Management
Project Manager
Noida, Uttar Pradesh, India
Toptal member since February 6, 2025
Bio
Vaibhav is an Agile program manager with 8+ years of experience leading cross-functional teams in fintech, retail, healthcare, and eCommerce. Skilled in SAFe, Scrum, and Kanban, he excels in PI planning, backlog prioritization, and Agile execution. He drives innovation, aligns business objectives with execution, and fosters Agile transformation to deliver scalable, high-impact solutions that enhance efficiency and business value.
Project Highlights
AI-powered Predictive Analytics for Subscription Revenue
Improved revenue forecasting accuracy by 20%, enabled proactive client retention strategies, and reduced client onboarding time by 25% through workflow automation.
Automated Vehicle Inspection System & Bug Tracking Dashboard
Reduced vehicle inspection times by 25%, improved process accuracy by 20%, and decreased unresolved bugs by 20%, enhancing team accountability.
Warehouse Inventory Automation
Enhanced operational efficiency by 25%, reduced inventory errors by 20%, and achieved 95% on-time sprint completion rates.
Expertise
- Agile Practices
- Agile Project Management
- Confluence
- DevOps
- Jira
- Kanban
- PI Planning
- Scrum
Work Experience
Senior Scrum Master
2024 - 2024
Recur
- Reduced technical debt by 15% by aligning architectural enablers with business priorities during PI planning. Developed a deep understanding of fintech domain complexities and technical product aspects to foster collaboration with development teams.
- Elevated team performance and engagement by 30% through PI planning-driven alignment of team objectives. Leveraged Agile retrospectives (Mad-Sad-Glad, Rose-Bud-Thorn, Sailboat) to continuously improve team dynamics and optimize iteration execution.
- Improved project success criteria alignment by 25% by collaborating with product owners and stakeholders during PI planning to define and track key Agile metrics such as velocity, defect leakage, eNPS, and specification quality.
- Effectively handled multiple competing and changing priorities in a fast-paced environment, ensuring a 20% improvement in task prioritization and execution by embedding techniques like MOSCOW and WSJF.
- Coached teams in utilizing tools like Jira, Miro, and Confluence, achieving a 95% tool adoption rate and a 20% reduction in workflow inefficiencies.
Technical Program Manager
2022 - 2023
Spinny
- Spearheaded cross-functional teams to deliver three integrated products on time and within a 5% budget variance, leveraging Agile methodologies and Jira for precise tracking and coordination, reducing development cycle times by 15%.
- Designed and maintained dynamic Jira dashboards to track key metrics such as epic progress, story points delivered, and bug SLA compliance, enabling data-driven decisions and reducing the average bug resolution time by 30% during sprint cycles.
- Ensured 100% closure of quarterly product roadmaps by coordinating with product teams and visualizing the progress on BigPicture, enhancing stakeholder visibility and improving strategic planning accuracy by 25% through transparent tracking.
- Partnered closely with the product owner to prioritize the backlog for 3+ concurrent product lines, ensuring seamless alignment of user stories while collaborating with the tech lead to achieve accurate estimations that enhanced predictability.
Associate Program Manager
2021 - 2022
Tata 1 Mg
- Tracked and managed cross-functional dependencies for up to 5+ concurrent products, reducing release delays by 20% and ensuring smooth product launches across diverse teams.
- Managed multiple project teams of 12+ members, including contractors and vendors, optimizing resource allocation to achieve 95% on-time delivery for key milestones while aligning with project goals and minimizing resource conflicts.
- Developed and delivered bi-weekly burn-down and velocity charts for 3+ active sprint teams to provide actionable insights and ensure 100% transparency with senior leadership regarding project progress and delivery timelines.
- Facilitated effective scope, resource, and timeline adjustments, achieving a 98% project success rate by proactively addressing major challenges.
Project Associate
2016 - 2020
Beijing Wavespectrum Science and Technology Co. Ltd
- Utilized Microsoft Project (MPP) extensively to maintain project schedules, budgeting, and task allocations for projects, achieving 95% adherence to planned schedules.
- Decomposed complex project deliverables into over 50+ smaller, manageable sub-tasks, improving task completion efficiency by 25% and reducing team workload bottlenecks.
- Monitored and tracked 20+ active deliverables simultaneously, ensuring 98% on-time completion of change requests and minimizing project delays by 30%.
- Translated stakeholder requirements into over 10+ tangible deliverables, such as functional specifications, use cases, workflow diagrams, and data flow models, with 100% accuracy under the guidance of senior business analysts.
- Conducted comprehensive business requirement analysis through document review, interviews, workshops, and JAD sessions for 4+ enterprise clients, delivering actionable insights and facilitating a 25% improvement in process clarity.
- Assisted in implementing change management procedures for process changes, ensuring compliance and minimizing disruption, resulting in a 25% reduction in resistance to change.
Project History
AI-powered Predictive Analytics for Subscription Revenue
Improved revenue forecasting accuracy by 20%, enabled proactive client retention strategies, and reduced client onboarding time by 25% through workflow automation.
At Recur Club, I led the development of an AI-powered predictive analytics tool to forecast subscription revenue trends and identify churn risks. The solution leveraged machine learning to analyze revenue patterns, providing actionable insights for stakeholders.
Planning Contribution:
• Defined the roadmap, aligning predictive analytics with business goals to enhance revenue forecasting, reduce churn, and streamline onboarding.
• Led feature prioritization in the program backlog, ensuring alignment with strategic objectives.
• Collaborated with product management and system architects to identify dependencies and risks during planning, ensuring a clear execution path.
Execution & Agile Collaboration:
• Led cross-functional teams (data science, engineering, product) to deliver an MVP within the first iteration, aligning outcomes with business priorities.
• Integrated ML models into the analytics platform, improving stakeholder decision-making.
• Built a project portfolio dashboard to track key PI metrics (velocity, defect leakage, sprint cadence), enhancing predictability and execution efficiency.
• Facilitated system demos, Inspect & Adapt sessions, and backlog refinement, optimizing value delivery across iterations.
Planning Contribution:
• Defined the roadmap, aligning predictive analytics with business goals to enhance revenue forecasting, reduce churn, and streamline onboarding.
• Led feature prioritization in the program backlog, ensuring alignment with strategic objectives.
• Collaborated with product management and system architects to identify dependencies and risks during planning, ensuring a clear execution path.
Execution & Agile Collaboration:
• Led cross-functional teams (data science, engineering, product) to deliver an MVP within the first iteration, aligning outcomes with business priorities.
• Integrated ML models into the analytics platform, improving stakeholder decision-making.
• Built a project portfolio dashboard to track key PI metrics (velocity, defect leakage, sprint cadence), enhancing predictability and execution efficiency.
• Facilitated system demos, Inspect & Adapt sessions, and backlog refinement, optimizing value delivery across iterations.
Automated Vehicle Inspection System & Bug Tracking Dashboard
Reduced vehicle inspection times by 25%, improved process accuracy by 20%, and decreased unresolved bugs by 20%, enhancing team accountability.
As a technical program manager at Spinny, I led the implementation of an automated vehicle inspection system that integrated IoT sensors with a data analytics dashboard. This system streamlined quality checks for pre-owned cars, significantly reducing inspection time while improving overall process accuracy.
Additionally, I designed a real-time bug-tracking dashboard leveraging Jira, which helped engineering teams reduce unresolved issues by 20%, enhancing sprint velocity and team efficiency. I also introduced a data-driven SDLC approach, improving sprint planning accuracy by 20% and reducing development cycle times by 15%.
Additionally, I designed a real-time bug-tracking dashboard leveraging Jira, which helped engineering teams reduce unresolved issues by 20%, enhancing sprint velocity and team efficiency. I also introduced a data-driven SDLC approach, improving sprint planning accuracy by 20% and reducing development cycle times by 15%.
Warehouse Inventory Automation
Enhanced operational efficiency by 25%, reduced inventory errors by 20%, and achieved 95% on-time sprint completion rates.
At Tata 1mg, I led the automation of warehouse inventory management, implementing IoT sensors and dashboard tracking to enhance operational efficiency. This initiative reduced manual errors and improved real-time inventory tracking, resulting in fewer discrepancies and a 25% boost in operational efficiency. I collaborated closely with product, operations, and engineering teams to ensure smooth integration and real-time monitoring.
Additionally, I developed KPIs for logistics performance tracking, reducing delivery times by 10%. I ensured a 98% project success rate through effective scope and resource management, proactively addressing major challenges and aligning teams toward common goals.
Additionally, I developed KPIs for logistics performance tracking, reducing delivery times by 10%. I ensured a 98% project success rate through effective scope and resource management, proactively addressing major challenges and aligning teams toward common goals.
Education
2013 - 2017
Bachelor's Degree in Mechanical Engineering
The NorthCap University (formerly ITM University) - Gurgaon, Haryana, India
Certifications
JUNE 2023 - PRESENT
Agile Project Management
Coursera
MARCH 2023 - PRESENT
DevOps Foundations: Lean and Agile
LinkedIn Learning
MAY 2022 - PRESENT
Professional Scrum Master Level I (PSM I)
Scrum.org
Skills
Tools
Jira, Confluence, Slack, Miro, Microsoft Project, BigPicture, Google Sheets, Asana, SQL, Azure Boards
Paradigms
Scrum, Agile Project Management, Kanban, XP, DevOps
Other
Microsoft Teams, Analytical Dashboards, Communication, Project Management, Agile Practices, Ideaboardz, Scrum of Scrums, Client Success, User Requirements, Stakeholder Management, Conflict Resolution, Client Software, Communications Management, ClickUp, Lean Principles, Product Roadmaps, Program Management, Business Analysis, PI Planning
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring