Sr. Product Manager & Owner | AI & Generative AI Pioneer | SCM Forecasting & Logistics SME | Scaled AI Models for 100K+ DSUs | IIM Bangalore Alumnus | Expert in Data-Driven Problem Solving & High-Stakes Demos


Bengaluru

Bengaluru, Karnataka, India
Bengaluru Area, India

Bangalore





PGSEM, MBA
Indian Institute of Management Bangalore

Master of Information Technology
International Institute of Information Technology Bangalore
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Download Tal BossSr. Product Manager & Owner | AI & Generative AI Pioneer | SCM Forecasting & Logistics SME | Scaled AI Models for 100K+ DSUs | IIM Bangalore Alumnus | Expert in Data-Driven Problem Solving & High-Stakes Demos
You can reach me on rathhna09@gmail.com. I am a Senior Product Leader and Enterprise Solution Architect operating at the intersection of B2B Supply Chain Management (SCM) and cutting-edge Generative AI. With 21+ years of experience driving end-to-end software product lifecycles, I specialise in transforming complex business challenges into scalable, high-margin SaaS platforms.Throughout my career, I have served interchangeably as a Senior Product Manager and Product Owner, bridging the gap between strategic vision and hands-on execution. I am a recognized expert in Data-Driven Problem Solving, utilising a systematic approach—defining problems, analysing data, and validating hypotheses—to tackle complex business challenges rather than relying solely on intuition. My core professional focus for the past five years has been on comprehensive detailed design generation, a holistic process grounded in: 🔹 User Persona Centricity: Decoding what users really want by building research-backed personas and mapping pain points to solutions. 🔹 Data-Driven Decision Making: Connecting product usage metrics with business outcomes like revenue and customer retention to ensure every feature delivers measurable impact. 🔹 Deep Product Knowledge & Engineering Consultation: Leveraging an expert-level understanding of the product ecosystem to partner with engineering squads and QA, ensuring designs are technically robust before development. Recently, I pioneered the use of Microsoft Copilot to architect proprietary AI agents. These agents act as a force multiplier for the detailed design phase—ingesting raw requirements to automatically generate impact analyses and code improvement opportunities. As the organisations premier "go-to" expert for high-stakes solution architecture and executive demos, I now use these GenAI tools to build rapid, value-added simulations that significantly compress sales cycles for global clients. Areas of Core Expertise: 🔹 Data-Driven Problem Solving: Transforming complex data into actionable product direction and business value. 🔹 Senior Product Management & Product Ownership: (Agile/Scrum, Backlog Prioritisation, Roadmap Strategy). 🔹 Detailed Design Generation: (User Persona Mapping, HLD/LLD, Cross-Functional Consultation). 🔹 Generative AI Productisation: (Microsoft Copilot, AI Agents, Prompt Engineering). 🔹 High-Stakes Solution Demos: (Executive Storytelling & AI-Accelerated Simulations). 🔹 Supply Chain Domain SME: (Logistics Visibility, Demand Forecasting, Inventory Optimisation). 🔹 Dashboards - Qliksense, Qlikview, Superset
Bengaluru
github copilot
githubcopilot
Microsoft Copilot
Senior Product Manager at e2open, Jul 2013 - Present · 13 yrs 2 mos, AI Product Innovation & Process Transformation ● Copilot Agent Productization: Conceptualized, built, and launched internal AI agents and skills using Microsoft Copilot to revolutionize the product development lifecycle. ● Automated Lifecycle Discovery: Engineered AI-driven product flows that ingest raw business requirements to automatically generate comprehensive Detailed Designs, High-Level Design (HLD) impact maps, and code optimization reviews. ● AI-Powered Demo Acceleration: Acted as the company’s premier "go-to" technical presenter for enterprise accounts; pioneered the use of AI agents to rapidly build complex, high-value end-to-end solution simulations for executive-level client viewings. ● Automated Quality Assurance: Integrated automated test-case generation and script execution layers directly into the Copilot agent workflow, drastically shortening the engineering feedback loop. ● Advanced AI Engineering: Directed technical teams in building automated SQL-generation models powered by targeted prompting across complex database schemas, driving massive productivity gains. Product Management & Enterprise Delivery ● Strategic Feature Roadmaps: Led the end-to-end feature lifecycle for a key tier-1 account (CAT), delivering a suite of high-value capabilities (Consolidation/De-Consolidation, Cargo Receiving, Vendor Booking) across 4 major continuous releases (24.1 to 25.1). ● Value Realization: Spearheaded the "Leg Extend" and "Auto Flip Transport Order" automated visibility tracking features for Jabil, maximizing real-time track-and-trace analytics by 30% with minimal baseline input data. ● Customer-Centric Solutions: Translated highly nuanced user personas into actionable technical designs for global strategic accounts including Panasonic (Transportation Forecasting) and Arrow Electronics (Transactional Master Data). Enterprise Solution Architecture (AI-Driven Product Scaling) ● Goodyear Tires: Scaled the platform's largest demand-sensing e
Senior Product Owner at e2open, Jun 2013 - Present · 13 yrs 3 mos, Bengaluru, Product Manager / Product Owner for Global Logistics Visibility Product - Conceptualized user personas and defined ‘what’ part of the value, converted that into the ‘how’ part of the value by collaboration with the technical teams. 1. Worked with a key account and defined the feature road map for key features – Consolidation/De-Consolidation in Supply Chain, Consolidated Vendor Booking, Cargo Receiving (CR), CR for Consolidated Shipper Booking. Authored Detailed Designs and ensured the features are delivered, all the way from end of 2023 (24.1 Release) to end of 2024 (25.1 Release). (Note: There are 4 releases in a year 24.1, 24.2, 24.3, 24.4). 2. Worked with a key account and defined the feature road map for Auto Flip Transport Order and Leg Extension for Visibility use case. Designed the solution to work with minimal input data and offer track and trace capabilities. 3. Worked with a key account, quickly understood their need for a Planning (Transportation Forecasting) solution and offered a feature set that could be easily implemented for their use case. 4. Worked with a key account (Arrow), recommended transactional based master data creation for their Drop Ship customers.
Senior Manager Solution Architect at e2open, Oct 2021 - Jun 2023 · 1 yr 9 mos, Bengaluru, Karnataka, India, 1. Lead Solution Architect for Goodyear (GY) Tires. Implemented the flagship Forecasting solution – Multi Enterprise Demand Sensing. This solution helped in improving forecast accuracy and eventually helped in improvements in Supply Planning, reducing the Total Cost, and improving the Revenue. Understood the Business Processes of Goodyear and mapped them to Product Features, Modelled the GY Model to the Product Model (DSU or Demand Sensing Unit), Performed the Engine Model Map for key dimensions – Item, Location, Channel, implemented several time series (Shipment History, Demand Forecast, Retailer data, Price) to ensure better forecast accuracy for different Business Units of Goodyear – Consumer, Commercial, Motorcycle, OTR. Run the Model (AI -Supervised Learning) using two years of Past Sales as Training data and configured the model with optimal parameters to be automatically tuned. Some of the parameters include, Number of Days of History, Past Due Order Weightage, R-Profile (Model for On-Time Prediction), Method for Derived Orders (Ordered Qty vs. Shipped Qty) etc. Delivered forecast improvements of 25% at Horizon 7 and 10% at Horizon 14 for every Business Unit. The model for Goodyear is by far the largest model of 100K DSU’s ever implemented by the company. 2. Lead Solution Architect for Maersk. Implemented Transportation Forecasting Solution. Modelled the Historical Shipments and Demand Planning forecast to TFU level (Transportation Forecasting Unit) which is a combination of Lane and Equipment Type / Shipping Mode. Modelled the engine, ran the engine to generate better (10%) forecast results. This solution is eventually productized into Global Logistics Visibility.
Principal Consultant at Terra Technology, Jan 2016 - Feb 2016 · 2 mos, Bengaluru Area, India, Solution Architecture and complete implementation from Product Implementation to UAT.
Software Implementation Consultant at Terra Technology, Jul 2013 - Dec 2015 · 2 yrs 6 mos, Responsible for implementing Supply Chain Products of Terra to Customers.
Software Development Advisor at Dell, Sep 2009 - Jul 2013 · 3 yrs 11 mos, Bangalore, Designed and implemented multiple i2 products – Supply Chain Planning for Order Planning, Global Master Planning, Parts Reservation. • Enrichments to Proteus (Dell inhouse forecasting solution) for Attach Rate Planning and Multi Site Planning. • Part of the implementation of Retail Planner for Reliance Retail.
Senior Consultant at i2, 2006 - 2009 · 3 yrs, Implemented i2 Supply Chain Product Solutions - SCP, DM, RP, IO, ABPP at Client Locations.
Software Engneer at GE Capital, Jan 2005 - Jul 2006 · 1 yr 7 mos, Developed Web Applications in Java.
PGSEM, MBA, Indian Institute of Management Bangalore
Master of Information Technology, International Institute of Information Technology Bangalore