Sr. AI Product Manager

Ria Banerjee – Sr. AI Product Manager

+1-860-***-**** ***.***********@*****.*** Linkedin Visa Status: Citizen

Profile:

Award winning professional with 12+ years of experience in Product Management & 18+ in the IT industry leading multi-million-dollar products. Aligning company goals with technology solutions, to drive innovation and build a culture of product led growth. Leading AI based products since 2019. Seeking a leadership position with some exciting cutting edge technology work!

Core Skills

Strategy:

Leading the vision, strategy & execution of multi-million, sometimes billion $ products.

User research, understanding user journey and their pain points.

Market research & data analysis.

Creating a framework to summarize the insights gained and help stakeholders & executive team understand them.

Getting buy in from all teams involved and impacted. Cross–functional and Cross-organizational leadership.

Improve and iterate on the strategy as needed, based on market changes or data analysis & feedback received.

Creating presentations. Communicating and managing the expectations of stakeholders and top executives.

Defining go to market strategy and developing product launch / sunset plans.

Defining key metrics for the success of the product / feature.

Planning for scaling, privacy and prevention of ethical violations.

Execution:

Creating and managing product roadmaps.

Establishing clear achievable iterative goals.

Writing product requirement documents. Defining epics, features and user stories.

Working hand in hand with the engineering, design, data, data scientists and QA teams for smooth execution.

Influence managing various teams and leading them to work together for successful deliverables.

Stakeholder & Vendor management.

Getting alignment between architecture and different engineering teams as needed.

Prioritizing backlog and release features across multiple teams / pods.

A/B testing. Iterating product features based on test result analysis.

Planning and maintaining go-live documents as needed. Handling all go live communications with Stakeholders & teams.

Launching new products and product expansion across the globe.

Following up on key metrics post release, and data analysis.

Post production support and defining support SLAs for the engineering teams as needed.

Presenting the roadmap, milestones, metrics, governance data and product demos to leadership & C-level executives.

AI & ML Advantage:

Hands on experience managing AI products since 2019.

Aligning business goals with technology – understanding and recommending AI solutions where it makes sense.

Getting strategic alignment, calling out risks and setting realistic expectations with stakeholders for AI based products.

Understanding the AI product life cycle and leading cross –functional teams including data scientists and data teams.

Working closely with data scientists for feature engineering, cross validation, fine tuning, Hallucination evals etc.

Planning around the pitfalls of AI – like overfitting, underfitting, data drift, model drift, ethical issues, data bias issues etc.

Defining & prioritizing requirements & metrics for training, validating, selecting, fine tuning and testing AI models.

Understanding functional requirements and vetting the data to be used for training the model.

Ability to build an iterative roadmap & making decisions like: using out of the box AI models initially, identifying and prioritizing smaller problems with higher business impacts, and selecting appropriate LLMs to save on time and cost.

Understanding different types of ML algorithms & error metrics. Understanding the impact of data and use case, on the selection of the algorithm and the error metrics to be used.

Experience in NLP, Chatbots, Predictions, Anomaly detection, Ranking & Recommendations, Personalization, RAG Search. Fine tuning LLMs and generative AI.

Create test strategy and choose the metrics to determine the success criterion for an AI model / Gen AI use case.

Calculating the ROI and understanding model maturity and scalability to make decisions on market expansion.

Certifications

Product Management Certification from Product School

NLP Specialization – DeepLearning.AI

AI for Everyone – Andrew NG; AI on Microsoft Azure - Coursera

AWS training: Business Decision Maker for AI / ML learning path

AI for Product Management – By Duke University

Adv. Data Science - IBM; Executive DS – John Hopkins

Summary of experience and impact created

Sr. AI & Data Analytics Product Manager at Pepsico (Jun ’23 - Current)

Leading the “AI Insights” product that generates insights for business based on competitive sales data and other areas like current inventory details to create a powerful tool that builds an action plan for the business (Conversational AI & Gen AI LLM).

Led the creation of the analytics dashboard for executive users to get an overview and drill down view of important business metrics.

AI use cases: Gen AI Chatbot, AI RAG Search, AI Predictions and Insights (Highlights), Emails & Notifications.

Sr. Digital Product Manager at Hub International (Apr ’22 – May ’23)

Launched VIU by HUB. Hub’s revenue has grown by over 25% since the launch of its digital wallet and mobile app and, Hub hit 3.7B in annual revenue in 2022.

Led the integration with strategic partners and aggregators to get leads.

Led the direct to customer experience and leads funnel.

Led the AI based chat (Conversational AI) – powered by GPT4 LLM & our AI recommendations model “Your Insurance Advice Agent”.

Led “Your Recommendations” using AI Recommendations for proposing new insurance products to buy / products that can help reduce costs with the same coverage for existing lines.

AI Use Cases: Gen AI Chatbot fine-tuned with proprietary data, AI RAG Search, Personalization & Recommendations.

Sr. AI Product Manager at 7-11 (May ’19 - Mar ’22)

Launched the first of its kind, AI driven fuel pricing at 7-11 for all of its wholesale fuel pumps which includes brands like Chevron, Exon, 711, Sonoco, speedway. This drove up the revenue by 2B within the 1st quarter of the MVP launch.

Launched “Fuels Loyalty Program” – “personal pricing” – an AI based loyalty program, presenting personalized discounted fuel pricing for 7-11 app users. The return from launching this MVP in the Dallas area, drove up the engagement in the mobile app by over 22% within the first 3 months after launch.

Launched a map interface dashboard to display all the 711 and competitor stores and display various KPIs for business use.

AI work done:

Built “Optimum pricing solution” for 7-11 wholesale fuels (Includes Chevron, Shell, 711 and other stations)

“Recommendations” for the e-com product (part of mobile app).

“Personal Pricing” for the “Fuels Loyalty Program”

“Anomaly detection” to highlight delightful and failing metrics and highlight any other anomaly with pricing in the executive dashboard.

Email, Chat & Dashboard highlights using Gen AI (LLM) & (Conversational AI)

Sr. Product Manager – Omni Channel at Levi & Corp (Nov ’18 – Apr ’19)

Led the Omni Channel portfolio of products at Levi & Corp. Launched and maintained various products across Asia, Europe, US and Canada.

Sr. Product Manager – Ecommerce & Loyalty at Albertsons (Safeway) (Oct ’16 – Oct ’18)

Led multiple e-commerce and loyalty products. (Just4U mobile app)

Earlier Work:

Product Manager & Business Consultant for multiple clients at Delloitte (Jan ’12 – Sep ’16)

Worked in multiple Gov healthcare projects (Defined rules for - Medicare, SNAP, TANF, etc, HIX - CT & KY )

Project Manager at Mahindra Satyam (May ’10 – Dec ’11)

Applications Engineer at Oracle (July ’07 – Apr ’10)

Software Engineer at Infosys (Jan ’06 – Jun ’07)

Other Details

Education: BE Electronics Engineering – BDCOE, Nagpur University. 2001 – 2005.

Tools Used: JIRA, JIRA Align, Confluence, Azure Cloud, Azure ADA, Lucidchart, AHA, Trello, Balsamiq, UXPin, Figma, Survey Monkey, Typeform, TestMyUI, Google Analytics, Power BI, Splunk, Crazy Egg, Wejo Data, Free Data Available, Kaggle, Canva, Miro

Technologies: Cloud Technologies – Azure / AWS, AI / ML, Java, .net, Python, Micro services, React, Micro front end, Snowflake, Datalake, etc.

Type of products: AI / ML based products, Data Analytics & custom dashboards, Predictions, Mobile & Tablet apps, E-commerce (Web & App) – Retail POS, Order Management, WMS, Recommendations, Items, Cart & checkout, Payments, Digital Transformation, Modernization, IOT, ERP.

Domains: High Tech, Retail, Supply Chain – end to end, Order Management, Payments, Transportation, WMS, Merchandising, Healthcare, Insurance, Education, Open to other domains. Quick Learner

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