Description

With 18+ years of experience bridging the gap between complex data engineering and strategic product leadership, I specialize in transforming ambiguous business needs into scalable, high-impact enterprise solutions. I deliver the technical rigor and business clarity necessary to drive successful project delivery from discovery to launch.

Why partner with me?

Strategic Expertise: A deep technical background (8 years in data engineering) paired with advanced product strategy.

Requirement Precision: Expert at leading stakeholder discovery workshops, refining user stories, and delivering meticulous documentation.

Proven Track Record: Senior leadership roles at top-tier firms (Pfizer, Expedia, TraceLink, Intentwise[start-up]) managing high-stakes enterprise projects.

Agile Reliability: Proactive, organized, and focused on turning complex challenges into actionable roadmaps.

Selected Project Highlights:

Global Supply Chain Analytics Platform: Designed and managed a mission-critical data analytics module for a global supply chain solution, significantly enhancing data visibility and driving 30% faster decision-making for stakeholders.

Enterprise Integration Framework: Led the requirements and strategy for a complex system integration project, successfully harmonizing disparate legacy data silos into a unified, high-performance architecture.

Corporate Expense Management App (Android): Architected and delivered a secure, feature-rich Android expense management application for a corporate client. The solution automated receipt scanning and real-time budget tracking, streamlining field reporting and significantly reducing administrative overhead.

I pride myself on being a partner who understands both the technical architecture and the business "why." Let's connect to discuss how I can bring precision and leadership to your next project.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Bengaluru (up to 10km)

Pfizer Digital
Product Manager / Product Owner, Data & Analytics Platform
June 2025 - April 2026 (10 months)
Leading the development of a cloud-native data platform on AWS that ingests and harmonizes data from enterprise systems (LIMS, MES, SYNTQ, BDE, CDM), applies workflow-driven transformations, and generates structured, analytics-ready datasets for downstream visualization (SPI). The platform includes user-driven validation interfaces (BDE/CDM) and incorporates AI-assisted data validation, anomaly detection, and workflow automation to improve data quality and reduce manual effort. Some of my key roles & responsibilities are
Intentwise
Senior Manager / Senior Product Owner — AI Enabled Marketing Analytics Platform
July 2024 - December 2024 (5 months)
Bengaluru, Karnataka, India
• ● Led product discovery, roadmap execution, and agile delivery of a multi-source analytics platform, collaborating with business stakeholders (agencies & brands), engineering, and QA teams.
• ● Drove solution design and backlog prioritization using exploratory data analysis, ensuring scalable features, timely delivery, and strong alignment to product adoption and business objectives
• ● Increased engagement from 10%→72%, improved NPS across two quarters, and maintained <2% churn by enhancing analytics UX and enabling predictive, behavior-driven insights that reduced manual analysis effort by ~25–30%.
TraceLink
Senior Product Manager — Serialization & Supply-Chain Analytics Platform
August 2020 - July 2024 (3 years and 11 months)
Pune, Maharashtra, India
• ● Led end-to-end product management across backend data platform and frontend analytics applications, driving discovery, roadmap definition, and delivery execution across multiple workstreams.
• ● Collaborated with stakeholders and engineering to design scalable data pipelines, schema models, and analytics capabilities, while owning requirements and ensuring alignment across ingestion, transformation, and reporting layers.
• ● Delivered 3 end-to-end analytics solutions driving $1M+ ARR, enabled real-time serial and lot-level visibility improving operational efficiency by ~30%, and reduced manual investigation effort by ~20–25% through anomaly detection and data validation.