Product Manager — Enterprise AI & Data - Lowe's Companies, Inc. - Bengaluru, KA, India
(2023-10)
- Own product vision, OKRs, and roadmap across three AI product lines — Enterprise AI Security, Data Posture Management, and Vendor Intelligence — leading 2 engineering teams (~10 engineers); influence product strategy at Director and Sr. Director level with executive escalation path to SVP.
- Identified and solved a critical SOC analyst pain point — manually pulling threat context across fragmented tools — by envisioning and leading Veritas from 0→1: an AI-powered enterprise intelligence hub that unifies CTI, vendor, and endpoint threat data into a single analyst workspace, projected to reduce incident response time by 8–10 hours per incident.
- Designed end-to-end product prototype in Figma — incorporating AI-driven threat correlation and automated context summarization to eliminate manual triage — and presented to Sr. Director; escalated directly to SVP, approved in a single review cycle, securing executive sponsorship for a net-new AI platform.
- Engineered a centralized AI & Data Analytics Dashboard ingesting multi-tool telemetry into a unified data lake, surfacing real-time posture metrics, automated compliance tracking, and executive-ready reporting; workflow automation reduced manual operational effort by 80%.
- Own $4.5M product budget across two AI product groups — managing vendor contracts, tool licensing, and spend governance; partnering with finance and procurement on renewals and cost optimisation to ensure fiscal accountability and compliance.
- Mentor 2 junior team members on product thinking, PRD structuring, and stakeholder communication — building PM capability and accelerating team growth.
- Identified a critical gap in Lowe's TPRM program — Designed and implemented a solution to address a critical gap in the Third-Party Risk Management (TPRM) program, where thousands of vendor records existed across siloed systems, preventing LogicGate from serving as a reliable source of truth. Led the normalization and consolidation of vendor data across disparate platforms, increasing onboarded vendor records by 3x compared to the original inventory while enabling continuous daily synchronizatio
- Designed and shipped a real-time LVRC onboarding dashboard tracking vendor pipeline status, onboarding stages, and data completeness — giving stakeholders live visibility into the intake funnel and eliminating manual status-check overhead.
- Designed and led Lowe's enterprise AI governance framework covering the full AI usage lifecycle: governing homegrown AI application traffic, managing employee interactions with 3rd-party LLMs, and enforcing developer guardrails to prevent data leakage — underpinned by AI risk scoring, behaviour monitoring, and automated compliance across all AI workflows.
- Pioneering Lowe's Agentic AI product strategy — defining controls for Agent Identity, Access Management, Activity Monitoring, and Role-Based Access; simultaneously leading MCP (Model Context Protocol) adoption governance with policy enforcement and gap detection feedback loops.
Product Manager & Data Scientist - Advithri Technologies - Dallas, TX, United States
(2021-01 - 2022-09)
- Led 0→1 development of an enterprise AI search platform using Elasticsearch and NLP (BERT, RoBERTa) for question answering, information retrieval, and summarization; owned requirements, stakeholder communication, and Agile delivery end-to-end.
- Built a machine learning fraud detection model achieving 96.7% accuracy using Logistic Regression and SVM with K-fold cross-validation.
Research Assistant — Data Science - The University of Texas at Dallas - Richardson, TX, United States
(2020-03 - 2021-01)
- Developed a Python-based anomaly detection algorithm for large-scale datasets; built a customer segmentation model using RFM analysis, K-means clustering, and ABC-XYZ analysis to generate a data-driven sales strategy scoring matrix.
Data Scientist - EI Labs - Raipur, CG, India
(2015-12 - 2017-12)
- Built PoetCard, an ML/NLP product for AI-generated personalized messaging; applied predictive modelling for a retail client, driving a 300% sales increase; managed data warehousing and analytics for an edtech client using Tableau and Oracle Data Integrator.
Data Analyst - A Startup - Bhubaneswar, OD, India
(2014-12 - 2015-12)
- Led a 3-person team to build and launch an e-commerce platform; created SQL-based KPIs and dynamic pricing models, boosting revenue by ₹1 Million in 6 months.
