Product Manager with 10+ years in Product Strategy & AI-Driven Transformation
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Results-driven AI Product Manager with 13+ years of experience in business analysis, product strategy, and AI-powered transformation. Skilled in bridging the gap between cutting-edge AI technologies and business objectives to drive growth, optimize workflows, and enhance decision-making. Expertise in Generative AI, automation, and process optimization. Proven track record across multiple roles, including Product Owner, Business Analyst, Scrum Master, and Project Manager, with a strong focus on: Business Process Re-engineering & Improvement, Stakeholder Management & Collaboration, Product Roadmap Development, Process Flows & Mapping, Strategy Design & Execution. Adept at delivering AI-driven solutions that maximize efficiency and create business value.
Thapar University
Master of Engineering · Software Engineering
N/A – June 30, 2009
CCS University
Master of Science · Physics
N/A – June 30, 2006
Capgemini Technology Services India Limited
AI Product Manager
October 1, 2021 – Present
Gurgaon, Haryana, India
The Judge Group
Presales Manager for AI-ML / RPA offerings
November 1, 2020 – October 1, 2021
Noida, Uttar Pradesh, India
Deloitte
Consultant
April 1, 2018 – October 1, 2020
Gurgaon, Haryana, India
Sterlite Technology
Presales Associate Manager-Business Analysis
May 1, 2016 – March 1, 2018
Gurgaon, Haryana, India
Neesa Technology
Test Engineer
September 1, 2011 – March 1, 2016
Ahmedabad, Gujarat, India
GDS Quality Assurance
November 1, 2023 – June 1, 2026
Interpreted GDS guidelines and collaborated with digital project teams for assessments. Provided guidance on GDS assessment checklists, ensuring compliance with standards. Ensured adherence to GDS guidelines and agile delivery methodologies. Conducted project assessments, delivered feedback, and tracked implementation of recommendations. Identified and escalated exceptions, ensuring risk mitigation and compliance. Partnered with the GDS working group to drive process improvements and enhance efficiency.
MVP- H&M Observe ability and early detection
September 1, 2022 – January 1, 2023
Gathered and prioritized business requirements with product teams for a monitoring dashboard. Created Epics and user stories with acceptance criteria, ensuring sprint-sized deliverables. Conducted requirement analysis sessions, aligning stakeholders on solutions. Developed functional documentation for development teams. Led service definition and identification, collaborating with the H&M team to integrate services into applications and products. Managed the decomposition of applications and products into code and infrastructure components for seamless implementation.
Master Generative AI for Leaders and Business Professionals
Unknown
June 1, 2026 – Present
Certified SAFE® 5.1 Product Owner Product Manager Certification (POPM)
Unknown
June 1, 2026 – Present
Certified DevOps Essentials
Coursera
June 1, 2026 – Present
Google Data Analytics Professional Certificate (Ongoing)
Unknown
June 1, 2026 – Present
Certified Scrum Master Edit
SCRUM ALLIANCE
June 1, 2026 – Present
IC Agile Certified Professional ICP - ACC Agile Coach
IC Agile
June 1, 2026 – Present
Six Sigma Green & Black Belt
Unknown
June 1, 2026 – Present
Six Sigma Lean, Green & Black Belt
Unknown
June 1, 2026 – Present
Choosing Best Hashing Strategies and Hash Functions
IEEE Explore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (Capgemini, The Judge Group, Deloitte, Sterlite Technology) and roles (AI Product Manager, Presales Manager, Consultant, Test Engineer) suggests adaptability and a broad understanding of different organizational cultures. Their involvement in digital transformation projects, smart city solutions, and AI/ML initiatives indicates a forward-thinking and innovative mindset. The numerous certifications in Agile, Scrum, DevOps, and AI further highlight a commitment to continuous learning and professional development, which aligns well with a dynamic and growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their experience in stakeholder engagement, cross-functional team collaboration, and leadership roles. Their background in process re-engineering, agile methodologies, and project management indicates a solid operational fit for driving product development and strategic initiatives. The ability to translate business requirements into technical solutions and manage complex projects suggests strong problem-solving and organizational capabilities.