Senior Product Manager Data/AI – InsurTech, at Expedia Group

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Strategy, Roadmap Definition, Requirement Definition, System Design, API Contracts, Data Modeling, Data Science, Experimentation, Customer Insights, AI/ML Integration, Product Execution, Risk Management, Stakeholder Communication, ML Model Lifecycle, Pricing Optimization, Platform Thinking

Industry

Software Development

Description

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Team Introduction The InsurTech Product team creates peace of mind by enabling travelers to book travel with confidence. In this role, you will be part of a team building a portfolio of zero to one innovative insurance and fintech products, leveraging the power of data and AI to personalize experiences, recommend the right products, and create a progressive marketplace that drives attach across the travel ecosystem In this role, you will: Define and drive the product strategy and roadmap for your area, translating customer, partner, and business needs into clear product outcomes and prioritized backlogs. Lead discovery, requirement definition, and detailed specifications for new features and capabilities, including system design considerations, API contracts, and data modeling in partnership with engineering and data teams. Collaborate closely with engineering, design, data science, and business stakeholders to deliver high-quality products end to end, from concept through launch and post-launch iteration. Use data, experimentation, and customer insights to evaluate product performance, make tradeoffs, and continuously improve usability, reliability, and business impact across multiple domains or surfaces. Safely integrate and operate AI/ML‑enabled solutions that improve customer and partner outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Ensure product execution excellence by defining success metrics, managing risks and dependencies, and communicating clearly with stakeholders and leadership on progress, decisions, and results. Minimum Qualifications Bachelor’s degree in a technical, quantitative, or related field, or equivalent practical experience. 5+ years of product management experience building data, platform, or ML‑driven products, preferably in large‑scale consumer or marketplace environments. Proven experience defining, building, and shipping ML‑powered products (e.g., prediction, ranking, optimization, anomaly detection), with strong understanding of real‑time vs. batch architectures and associated trade‑offs. Deep knowledge of the ML model lifecycle (training, validation, deployment, monitoring, retraining) and how product decisions influence model performance, reliability, and responsible use. Prior experience owning pricing, monetization, or revenue optimization systems, ideally including dynamic or personalized pricing, risk‑based pricing, and/or margin optimization. Demonstrated ability to work with engineering, data science, and analytics partners on APIs, data models, system behavior, and architecture trade‑offs for data and ML platforms. Familiarity with AI‑driven systems, tools, or workflows and safely integrating and operating AI/ML‑enabled solutions in production environments. Preferred Qualification - Experience building and scaling pricing and availability platforms used by multiple products or business units. Deep expertise in pricing mechanics (e.g., dynamic, personalized, risk‑based pricing, margin optimization) with ability to define price and margin guardrails. Proven ability to design resilient systems that handle supply volatility, demand spikes, and external events. Track record of platform and API thinking, delivering reusable, multi‑tenant services that support multiple consuming teams. Experience taking data and AI/ML products from concept to scaled adoption, using experimentation and metrics to drive decisions. Strong ability to lead technical discussions on system design, API contracts, and data modeling with engineering and data science partners. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. For more information, visit www.expediagroup.com. Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is lifeatexpediagroup.com/jobs.

Responsibilities

The role involves defining and driving the product strategy and roadmap for innovative insurance and fintech products, leveraging data and AI to personalize experiences and drive marketplace attachment. This includes leading discovery, defining specifications, and collaborating across engineering, design, and data science teams to deliver high-quality products end-to-end.