Shashwat Misra

To leverage expertise in business analysis, AI product management, technical program management, and digital transformation to deliver scalable solutions, optimize business processes, and drive measurable business value. Business/Data Analyst (Program Manager) and AI Product professional with nearly 11 years of experience across business analysis, product development, data analysis, digital transformation, IT Services, Insurance, Aerospace, Fintech, Healthcare and technology domains. Most recently worked as Business/Data Analyst (Program Manager) at LexX Technologies, leading AI, data analysis using Python, analytics, automation, and digital transformation initiatives across multiple client engagements.

Expertise in stakeholder management, requirements engineering, business process analysis, data modeling, and translating business needs into scalable technology solutions. Proven track record of delivering AI-powered products, automation programs, and analytics solutions that generated significant business value, operational efficiencies, and revenue growth. Strong experience in Agile project delivery, Kanban, Scrum practices, RCA, release management, UAT coordination, RAID management, and cross-functional team leadership.

Skilled in driving AI/LLM adoption, product strategy, process optimization, and organizational capability development through mentoring, workshops, and innovation programs.

Business/Data Analyst (Program Manager) at LexX Technologies (2023-02 – 2026-01)

• Led an AI-powered ML text classification product from concept to launch for a major aerospace client, generating $500K+ in new business and eliminating 1,000+ manual hours/week.
• Led 4–5 concurrent AI programs, managing dependencies, milestones, risks, priorities, and stakeholder alignment through production delivery.
• Drove product strategy and delivery for a productized digital solution for a Sydney-based immigration agency as Lead BA, PM, and Scrum Master, achieving $150K AUD ARR while reducing turnaround time and costs.
• Performed data analysis using Python to clean, transform, and analyze datasets, generating insights and ML-ready data that supported model development and classification.
• Conducted user research and competitive analysis to inform roadmap decisions for the aerospace ML product, aligning feature prioritization with client needs and market positioning.
• Leveraged advanced SQL and performance insights to optimize adoption and retention metrics, guiding roadmap decisions.
• Orchestrated Engineering, Operations and business stakeholders across competing priorities, driving scope decisions, dependency resolution, milestone execution and executive reporting.
• Created BRDs/FRDs, user stories, acceptance criteria, and process flows; supported backlog grooming (Azure DevOps), sprint planning, and requirements traceability.
• Led 15+ member teams, partnering with CEO/CTO to drive product strategy, roadmap, risks, and executive reporting.
• Owned end-to-end release quality and governance (functional, integration, performance, UAT via Jira XRAY), ensuring reliable product adoption across initiatives.
• Led AI/LLM innovation as Program Lead, evaluating high-impact POCs, driving a culture of experimentation and continuous improvement, and mentoring team members on AI, product, and delivery practices.
• Acted as the primary point of coordination for program execution, stakeholder communication, risk mitigation, dependency management, and executive reporting.
• Established standardized Jira/Confluence workflows and reusable delivery playbooks, improving program execution efficiency and stakeholder visibility across the AI/analytics portfolio.

Business/Data Analyst at Ingrity (2022-01 – 2022-11)

• Analyzed insurance domain requirements and facilitated stakeholder workshops to translate business needs into effective data-driven and technical solutions.
• Developed process models, business requirements documentation, and analytical frameworks to support solution design and stakeholder alignment.
• Led end-to-end data migration activities including mapping, cleansing, transformation, reconciliation, and validation using SQL, Python, and advanced Excel functions.
• Utilized Pivot Tables, Power Pivot, and VLOOKUP to perform data analysis and support business decision-making.
• Promoted Agile delivery practices through effective utilization of Jira and Confluence, improving collaboration, visibility, and execution efficiency.
• Defined data validation and quality assurance frameworks that improved migration accuracy and reduced reconciliation issues by 30%.

Business Analyst (Consulting) at Paisalo Digital (2021-03 – 2021-12)

• Provided Business Analysis and consulting support to a six-member engineering team, translating business requirements into actionable technical solutions.
• Delivered analytical insights for a digital platform generating $65M+ in revenue and serving 4–5 million users, supporting product and business decision-making.
• Identified performance trends and business opportunities through data analysis, contributing to product enhancement initiatives.
• Analyzed user behavior and operational performance metrics to identify product enhancement opportunities and support business growth initiatives.

Data (Business) Analyst - (Consulting) at Paisalo Digital (2015-10 – 2018-12)

• Analyzed warehouse and operational datasets using SQL and Excel to support a digital platform serving 4–5 million users and drive data-informed business decisions.
• Delivered product lifecycle and performance reports driving revenue-focused feature prioritization and strategic planning.
• Gathered and validated business requirements with stakeholders; trained 10+ users to ensure successful feature adoption.

System Engineer at DXC Technology (2012-07 – 2015-09)

• Managed release and change governance processes within Agile and IT Service Management environments, ensuring controlled and successful deployments.
• Coordinated Release Control Board and Change Advisory Board activities, validating implementation plans, assessing risks, and monitoring deployment readiness.
• Collaborated with Incident, Problem, Availability, and Capacity Management teams to minimize operational disruptions and improve service reliability.
• Supported enterprise-wide release and change initiatives through governance reporting, risk mitigation, and compliance with operational standards.

Master in Data Science – Macquarie University (2019 – 2021)

B.Tech. – Jaypee University of Information Technology (2008 – 2012)