Summary
Overview
Work History
Education
Skills
Websites
Personal Information
Timeline
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Vanshika Sethi

MA

Summary

AI Product Manager with 5+ years building and scaling data-driven AI products that process structured and unstructured data for enterprise environments. Proven Expertise in data-readiness systems, ETL pipelines, and AI agent platform-driving model reliability and accelerating customer adoption through RAG-enabled solutions and optimized inference workflows. Skilled in translating complex enterprise needs into actionable product requirements, orchestrating cross-functional execution across different internal and external stakeholders delivering AI-native products that balance long-term vision with measurable near-term impact.

Overview

6
6
years of professional experience

Work History

Product Manager Intern

State Street Corporation
03.2025 - Current
  • Organized sprint plans and tracked dependencies, improving delivery consistency by 18% and strengthening team execution across active workstreams through clearer planning structure and timely communication alignment.
  • Analyzed user interviews and mapped journeys, synthesizing feedback into actionable product requirements that reduced friction by 22% and improved adoption across user persona
  • Validated SQL-based KPIs and corrected data mismatches, increasing reporting accuracy by 27% and helping leadership rely on consistently trustworthy metrics during planning and prioritization discussions.
  • Coordinated release checkpoints and validated acceptance criteria, reducing deployment delays by 19% and supporting smoother engineering handoffs across multiple delivery cycles throughout the project timeline.
  • Interpreted dashboard trends and highlighted adoption shifts, enabling 16% faster prioritization decisions and guiding roadmap adjustments supported by clear, measurable usage signals from stakeholder teams.

Technical Product Manager

D.E Shaw
01.2023 - 01.2024
  • Designed data-readiness workflows for model training pipelines, reducing data preparation time by 21% and enabling faster model iteration cycles across engineering teams.
  • Collaborated with data engineering on ETL optimization that improved data quality for model inputs by 28%, supporting more reliable inference across production systems.
  • Maintained requirement histories and release notes, improving documentation accessibility by 31% and enabling faster cross-team coordination during planning and technical alignment sessions organization-wide.
  • Refined data-heavy interface designs in Figma, enhancing user comprehension scores by 24% and supporting clearer navigation for analysts interacting with complex insights dashboards.
  • Reviewed data pipelines and flagged privacy gaps early, decreasing downstream rework by 28% and ensuring compliance expectations were consistently addressed before model integration phases.

Product Manager Integrated AI

Target Cooperation
08.2020 - 01.2023
  • Assessed AI opportunities using cohort patterns, improving feature qualification accuracy by 29% and guiding roadmap direction with measurable criteria tied directly to user and market insights.
  • Architected data pipeline strategy for vector search and embeddings, processing unstructured data sources that increased retrieval precision by 23% and supported real-time inference various customer scenarios.
  • Transformed research interviews into clear problem statements, improving solution alignment by 26% and enabling design and engineering teams to address verified user challenges earlier in planning.
  • Built data-readiness framework enabling customers to integrate proprietary datasets through ETL workflows, accelerating time-to-value by 32% and supporting 32 successful AI agent deployments.
  • Aligned engineering and design teams with refined requirements, reducing dependency conflicts by 21% and supporting predictable delivery rhythms across multiple release cycles.

Product Manager Associate

Target Cooperation
07.2019 - 07.2020
  • Analyzed KPI patterns and market signals, improving opportunity identification accuracy by 17% and helping senior PMs shape roadmap directions grounded in measurable business outcomes.
  • Conducted interviews and synthesized feedback, increasing requirement clarity by 22% and enabling product teams to narrow initial solution paths faster during early discovery cycles.
  • Structured backlog items and mapped dependencies, improving sprint readiness by 19% and helping engineering teams begin cycles with clearer, well-defined task groupings.
  • Built simple usage dashboards that improved insight visibility by 28% and supported better decision-making during release planning discussions with cross-functional stakeholders.
  • Documented workflows and requirement changes, increasing knowledge accessibility by 33% and helping teams retrieve essential context faster during planning and retrospective sessions.

Education

Master - Business Analytics

University of Massachusetts
MA, USA
12.2025

Bachelor of Technology - Electrical Engineering

University Institute Of Engineering Technology
05.2021

Skills

  • Jira
  • Confluence
  • Figma
  • Miro
  • Aha
  • Notion
  • LLMs
  • Prompt engineering
  • Model evaluation
  • Model monitoring
  • Model lifecycle oversight
  • Vector search
  • Embeddings
  • Feature definition
  • SQL
  • Python
  • Pandas
  • NumPy
  • Exploratory analysis
  • Cohort analysis
  • KPI modeling
  • Experimentation
  • A/B testing
  • Dashboard interpretation
  • AWS
  • GCP
  • REST APIs
  • Microservices
  • Authentication flows
  • Basic CI/CD
  • Event-driven workflows
  • Journey mapping
  • Persona insights
  • Problem discovery
  • Qualitative interviews
  • Usability reviews
  • Feedback synthesis
  • OKRs
  • Value scoring
  • Dependency mapping
  • Backlog refinement
  • Sprint planning
  • Release planning
  • Fairness checks
  • Explainability practices
  • Data quality review
  • Privacy assessment
  • Bias identification
  • Power BI
  • Tableau
  • Dashboard building
  • Metric tracking
  • Insight storytelling
  • Market scanning
  • Competitive analysis
  • Opportunity sizing
  • Feature shaping
  • Success criteria definition
  • Engineering alignment
  • Design coordination
  • Stakeholder communication
  • Requirement detailing
  • Acceptance criteria creation

Websites

Personal Information

Title: AI Product Manager

Timeline

Product Manager Intern

State Street Corporation
03.2025 - Current

Technical Product Manager

D.E Shaw
01.2023 - 01.2024

Product Manager Integrated AI

Target Cooperation
08.2020 - 01.2023

Product Manager Associate

Target Cooperation
07.2019 - 07.2020

Master - Business Analytics

University of Massachusetts

Bachelor of Technology - Electrical Engineering

University Institute Of Engineering Technology
Vanshika Sethi