At a Glance
- Tasks: Lead the development of AI-powered analytics products that transform data into actionable insights.
- Company: Join Expedia Group, a global leader in travel technology and innovation.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to inclusivity and career development.
- Why this job: Make a real impact by shaping the future of AI in travel analytics.
- Qualifications: 5+ years in product management with a focus on analytics and AI technologies.
The predicted salary is between 63000 - 77000 £ per year.
You will need to login before you can apply for a job.
View more categories View less categories Sector Data Science , Project and Program Management , Technology Role Manager Contract Type Permanent Hours Full Time
At Expedia Group, we help travelers explore the world, one journey at a time.
As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you’ll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.
Our five Behaviors‑Traveller First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together‑help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work.
Join us and build for travelers everywhere.
Expedia Group is seeking a Product Manager III to help build the next generation of AI-powered analytics experiences that enable employees to discover insights, make decisions faster, and unlock more value from our data.
As part of the Analytics Products team, you will help define and deliver products that leverage Expedia Group's data foundations to power intelligent, scalable, and trusted analytics experiences across the business.
Working at the intersection of analytics, data, and artificial intelligence, you will partner closely with engineering, analytics, and business stakeholders to identify opportunities, solve customer problems, and deliver innovative products that improve how teams access and interact with information.
This role is ideal for a product manager with experience in analytics or data‑driven products who is excited about emerging AI technologies and their potential to transform how people work.
You'll contribute to products that incorporate conversational AI, intelligent workflows, and agentic experiences to help users move from questions to actionable insights more effectively.
What You'll Do
- Own and evolve AI‑powered analytics and decision‑support experiences that help users discover insights, automate workflows, and make better decisions.
- Define product strategy, roadmaps, priorities, and success metrics for a portfolio of analytics and AI‑enabled products.
- Partner closely with engineering teams to build intelligent experiences leveraging Large Language Models (LLMs), retrieval‑augmented generation (RAG), conversational interfaces, and agentic workflows.
- Collaborate with analytics, data, engineering, and business stakeholders to understand customer needs and identify opportunities to create value through AI‑driven solutions.
- Translate complex customer and business problems into clear product requirements, user stories, and prioritized backlogs.
- Use qualitative and quantitative data to evaluate product performance and inform investment decisions.
- Help shape the future of AI‑powered experiences by staying current with industry trends, emerging technologies, and evolving customer expectations.
- Ensure products are designed with appropriate considerations for trust, governance, privacy, security, and responsible AI practices.
- Partner across platform and domain teams to deliver scalable capabilities that can be adopted across multiple business functions.
Minimum Qualifications
- 5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI‑powered applications, or enterprise software.
- Experience working within analytics, data, machine learning, AI, or other technical product domains.
- Strong understanding of how users interact with data and analytics products to answer questions, generate insights, and drive business outcomes.
- Experience working closely with software engineers and technical stakeholders to define requirements, prioritize work, and deliver products iteratively.
- Strong familiarity with modern AI technologies, including generative AI, Large Language Models (LLMs), conversational AI, or machine learning‑powered experiences.
- Understanding of concepts such as retrieval‑augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns.
- Strong analytical and problem‑solving skills, with the ability to use data and customer insights to inform decisions.
- Excellent communication and stakeholder management skills, with the ability to influence across technical and non‑technical audiences.
Preferred Qualifications
- Experience building or launching AI‑powered analytics products
- Experience defining products that leverage enterprise data, knowledge systems, or analytical capabilities to power customer experiences.
- Understanding of responsible AI principles, including governance, privacy, trust, safety, and evaluation frameworks.
- Experience partnering with Data Science, Machine Learning, or Applied AI teams.
- Track record of taking products from concept through launch, adoption, and ongoing optimization.
- Experience measuring success through adoption, engagement, productivity, workflow efficiency, or business impact metrics.
- Experience working in a complex, highly cross‑functional environment.
- Travel, e‑commerce, marketplace, or consumer technology experience is a plus.
- Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience.
If you need an accommodation or adjustment due to a disability during the application or recruiting process
#J-18808-Ljbffr
Product Manager III, AI Analytics Products employer: ENGINEERINGUK
ENGINEERINGUK is an exceptional employer that fosters a collaborative work culture, allowing you to thrive as a Hybrid Brand Executive while contributing to a meaningful charity brand. With generous employee benefits such as 28 days of holiday, enhanced parental leave, and a robust pension scheme, you'll find ample opportunities for personal and professional growth in this dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager III, AI Analytics Products
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ENGINEERINGUK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Manager III, AI Analytics Products at ENGINEERINGUK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ENGINEERINGUK.
✨Apply Directly through Our Website
When you find a suitable opening like Product Manager III, AI Analytics Products at ENGINEERINGUK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Product Manager III, AI Analytics Products
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ENGINEERINGUK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ENGINEERINGUK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ENGINEERINGUK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ENGINEERINGUK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
