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Eshwarya Pathak

Senior Product Manager @ Tesco | 0-1 & Gen AI Products | Data & Platform Products | Analytics, A/B Testing & Experimentation Evangelist

Bengaluru

9+ years of work experience

Tesco
Jun 20242 yrs 6 mosPresent

Bengaluru, Karnataka, India

• Building Private cloud with a mission to make faster, safer, and cheaper way the easy way for Tesco colleagues to build and run software for millions of customers. • Leading the Messaging as a Service (MaaS) platform serving 20+ applications including Tier 1 revenue-critical systems, driving platform adoption, SLA governance with more than £450K worth of business value in a FY. • Building AI-powered internal agents (chatbots) using Claude/OpenAI APIs for automated onboarding, self-service issue resolution, and intelligent CX workflows - reducing manual support dependencies by 25%. • Designed multi-region Kafka DR with zero business impact during production drills: defined platform observability (New Relic) covering tenant health, cost attribution, and SLA/SLI metrics for executive reporting.
Zee Entertainment Enterprises Limited
Apr 20222 yrs 1 moApr 2024

Bengaluru, Karnataka, India

• Pioneered the musical gaming product Antakshari, from inception to launch, setting a new standard with industry first features like AI-enabled points scoring, universal Auto Tune, dynamic voice filters, and automated background music generation, while steering the product strategy and roadmap. • Led to uplift of 50bps of Subscription conversion rate and other key KPIs by introducing the Growth A/B test program, fostering cross functional collaboration and launching more than 50 tests in 12 months. • Generated an additional revenue of 30Cr in one year by leading the launch of a versatile Subscription system that enabled configuration of targeted packs such as Mobile-only, 4K, etc., catering to various user cohorts. • Enhanced Viewer to User ratio by 3-5% and Video View/Viewer/Month, achieving substantial engagement growth within 6 months for 132M MAUs, by deploying a New Navigation system and Hyper-personalized Recommendation rails. • Lead team to win the GEN AI Hackathon with India's first foundation model to generate music for shows and movies. • Added 4.6% video viewership annually, resulting in an incremental 4B mins watch time through multiple analytics recommendations including introduction of trailers after last episode, up-next content recommendations & iterative improvements to the video player interface.
Publicis Sapient
Jan 20202 yrs 4 mosApr 2022

Bengaluru, Karnataka, India

• Lead data backed product launches while leading team of developers, analysts, designers and QA for fortune 500 clients. • Slashed time to identify root causes by 25% by leading the development of an anomaly framework tool, which enhanced the detection of fluctuations in North star KPIs for Business and Tech teams. • Boosted conversion rates by 1.8x for the world's largest retailer for pre-holiday season through the design and implementation of an RFM-based customer segmentation, enabling personalized marketing strategies. • Drove a 400 bps improvement in conversion rates and generated $2.4M in additional revenue by architecting a personalization roadmap and product pipeline, catalysing growth through over 200 A/B, MVT, and Recommendation tests •Won Annual client impact for developing Anomaly detection product and helping client retain with Publicis Sapient.
Adobe
Aug 20181 yr 1 moAug 2019

Bengaluru, Karnataka, India

•Member of a high impact Solution Architect team which generated multi-million dollars revenue per year while consulting Adobe Marketing/Analytics Cloud customers. •Consulted clients to achieve their business objectives with Adobe's marketing and analytics cloud products and helped customers understand Adobe’s capabilities •Problem solved novel solutions, architectures, and digital use cases to helped customers meet their objective for Adobe Analytics, Target and Audience Manager •Estimated the level of effort and duration for entire projects/engagements with ownership of solution design including estimation and planning •Developed robust recommendations, roadmaps, proposals and scope of work documents for Adobe Consulting engagements while also identifying critical dependencies & gaps
Publicis Sapient
Jul 20162 yrs 1 moJul 2018

Gurgaon, Haryana, India

Consulted clients on: •insights on data using first, second and third party data sources •statistical inputs to derive business recommendations •using machine learning techniques on digital data for solutions such as product recommendation engine, natural language processing etc. •implementation strategies for Adobe Analytics and other digital marketing tags using DTM and other tag management tools

Eshwarya’s AI Stack

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Education

Indian School of Business

Executive Education - Product Management

Indian School of Business

20221 yr2023
Institute of Management Technology, Ghaziabad

Post Graduate Diploma in Management, Marketing/Operations

Institute of Management Technology, Ghaziabad

20112 yrs2013

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Headline

Senior Product Manager @ Tesco | 0-1 & Gen AI Products | Data & Platform Products | Analytics, A/B Testing & Experimentation Evangelist

About

With over 12 years of experience in product management, A/B testing, and data/product analytics, my professional journey spans sectors like media, retail, sports & gaming, and Travel & hospitality sector. At Zee Entertainment, a pioneering musical gaming product was launched under my direction, alongside a successful Growth A/B Test Program that significantly boosted subscription rates. My tenure at Publicis Sapient saw the co-development of a recommendation engine and an anomaly framework, markedly improving key performance indicators. At Adobe, efforts in enhancing product features and retention strategies contributed to a notable revenue increase of $1.1 million. Core Competencies: - Product strategy development, MVP definition, and rollout leadership - AI and Gen AI based product development and launches - Close collaboration with CXOs, business stakeholders, cross-functional teams, partners, and vendors. - Establishing North Star and success metrics for features. - Expertise in engagement, monetization and discovery aspects of product management and analytics. - Prioritizing initiatives, creating and managing product documents, and analyzing user feedback. - Implementing loyalty programs, gamification, and personalization features. - End-to-end management of Product Life Cycle: Acquisition, Discovery, Engagement, Monetization and Retention. - Product UI/UX and design. - ASO and SEO. Performed following responsibilities as a Data Leader : - - Deep dive recommendations and analysis to improve key KPIs - Visualization and automated dashboards for CXOs and Business heads - AB Testing launches and Personalization Roadmap Leadership - Collaborating with Data engineering and Data science team for AI based launches - Ensuring data pipelines for every new feature and existing data streams - Ensuring integration and data quality of several tools such as Adobe Analytics, Mixpanel, Conviva (video analytics), GA4, Optimizely. - Data driven alignment of all product initiatives ensuring better sprint effort optimization - Created a 360° user profile using Session and User analytics record in GCP - Led team of 18+ analyst across charters and businesses - Managing vendors and tool providers relationship If you are looking for an individual who specialize in product development, turning data into stories, developing personalization maturity and cross-functional collaboration, with focus on driving growth, engagement, and revenue within dynamic team environments, we should have a conversation to collaborate.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

Work experience

Senior Product Manager - Tech at Tesco, Jun 2024 - Present · 2 yrs 6 mos, Bengaluru, Karnataka, India, • Building Private cloud with a mission to make faster, safer, and cheaper way the easy way for Tesco colleagues to build and run software for millions of customers. • Leading the Messaging as a Service (MaaS) platform serving 20+ applications including Tier 1 revenue-critical systems, driving platform adoption, SLA governance with more than £450K worth of business value in a FY. • Building AI-powered internal agents (chatbots) using Claude/OpenAI APIs for automated onboarding, self-service issue resolution, and intelligent CX workflows - reducing manual support dependencies by 25%. • Designed multi-region Kafka DR with zero business impact during production drills: defined platform observability (New Relic) covering tenant health, cost attribution, and SLA/SLI metrics for executive reporting.

Associate Director - Product Management at Zee Entertainment Enterprises Limited, Apr 2022 - Apr 2024 · 2 yrs 1 mo, Bengaluru, Karnataka, India, • Pioneered the musical gaming product Antakshari, from inception to launch, setting a new standard with industry first features like AI-enabled points scoring, universal Auto Tune, dynamic voice filters, and automated background music generation, while steering the product strategy and roadmap. • Led to uplift of 50bps of Subscription conversion rate and other key KPIs by introducing the Growth A/B test program, fostering cross functional collaboration and launching more than 50 tests in 12 months. • Generated an additional revenue of 30Cr in one year by leading the launch of a versatile Subscription system that enabled configuration of targeted packs such as Mobile-only, 4K, etc., catering to various user cohorts. • Enhanced Viewer to User ratio by 3-5% and Video View/Viewer/Month, achieving substantial engagement growth within 6 months for 132M MAUs, by deploying a New Navigation system and Hyper-personalized Recommendation rails. • Lead team to win the GEN AI Hackathon with India's first foundation model to generate music for shows and movies. • Added 4.6% video viewership annually, resulting in an incremental 4B mins watch time through multiple analytics recommendations including introduction of trailers after last episode, up-next content recommendations & iterative improvements to the video player interface.

Manager - Data Analytics (Data Product Manager) at Publicis Sapient, Jan 2020 - Apr 2022 · 2 yrs 4 mos, Bengaluru, Karnataka, India, • Lead data backed product launches while leading team of developers, analysts, designers and QA for fortune 500 clients. • Slashed time to identify root causes by 25% by leading the development of an anomaly framework tool, which enhanced the detection of fluctuations in North star KPIs for Business and Tech teams. • Boosted conversion rates by 1.8x for the world's largest retailer for pre-holiday season through the design and implementation of an RFM-based customer segmentation, enabling personalized marketing strategies. • Drove a 400 bps improvement in conversion rates and generated $2.4M in additional revenue by architecting a personalization roadmap and product pipeline, catalysing growth through over 200 A/B, MVT, and Recommendation tests •Won Annual client impact for developing Anomaly detection product and helping client retain with Publicis Sapient.

Multi Solution Architect - Product Vision, Strategy and Roadmap at Adobe, Aug 2018 - Aug 2019 · 1 yr 1 mo, Bengaluru, Karnataka, India, •Member of a high impact Solution Architect team which generated multi-million dollars revenue per year while consulting Adobe Marketing/Analytics Cloud customers. •Consulted clients to achieve their business objectives with Adobe's marketing and analytics cloud products and helped customers understand Adobe’s capabilities •Problem solved novel solutions, architectures, and digital use cases to helped customers meet their objective for Adobe Analytics, Target and Audience Manager •Estimated the level of effort and duration for entire projects/engagements with ownership of solution design including estimation and planning •Developed robust recommendations, roadmaps, proposals and scope of work documents for Adobe Consulting engagements while also identifying critical dependencies & gaps

Senior Associate - Data Analytics & Personalization at Publicis Sapient, Jul 2016 - Jul 2018 · 2 yrs 1 mo, Gurgaon, Haryana, India, Consulted clients on: •insights on data using first, second and third party data sources •statistical inputs to derive business recommendations •using machine learning techniques on digital data for solutions such as product recommendation engine, natural language processing etc. •implementation strategies for Adobe Analytics and other digital marketing tags using DTM and other tag management tools

Education

Executive Education - Product Management, Indian School of Business

Post Graduate Diploma in Management, Marketing/Operations, Institute of Management Technology, Ghaziabad

Public links

github: https://github.com/eshwaryapathak-PM