Data & Analytics Program Manager at Expedia Group
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

07 Sep, 25

Salary

0.0

Posted On

08 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Agile, Powerpoint, Transformation, Ml, Continuous Improvement, Excel, Confluence, Management Skills, Programming Languages, Data Engineering, Python, Finance

Industry

Information Technology/IT

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.

INTRODUCTION TO TEAM:

The Traveler Business Team has a mission to deliver the most convenient, rewarding, and memorable ways for people to travel and explore the world. This division has responsibility to build and drive the growth of our global consumer business across our Expedia, Hotels.com, Vrbo, and Portfolio brands, and across all our lines of businesses including Hotels, Vacation Rentals, Air, Car, Packages, and Insurtech.
The mission of the Data & Analytics Programs team is to enable the analytics teams to succeed in their missions of bringing valuable & actionable insights to the business. As a cross-functional team, we act as catalysts and enablers to overall business success though driving complex transformation programs in data and analytics, designing and building new data signals, representing the analytics community with various data engineering teams, and streamlining analytics operations.
We set the analytics vision and act as a driver and enabler of simplification and efficiency through close collaboration with data architecture, data strategy, business and finance teams.
We are seeking a highly skilled, fast learning and motivated individual with a product mindset to join our team as Data & Analytics Program Manager. This role requires strong problem-solving skills, strategic thinking, business acumen, and an ability to lead cross-functional teams, as well as a strong interest in data and technology.

In this role you will:

  • Independently drive execution of technical projects within or across various teams, and act as a force multiplier to free the team to focus on technical delivery.
  • Collaborate with stakeholders to establish program objectives, deliverables, milestones and timelines.
  • Prioritize tasks, track project schedule, and share weekly updates with leadership and stakeholders in the relevant forums.
  • Proactively manage risk, working with the team to anticipate new risks and lead mitigation planning.
  • Represent analytics with various data engineering and machine learning teams.
  • Scale analytics and drive analytical efficiency through simplification of reporting, integration of GenAI, and cross team collaboration
  • Act as the liaison between C-suite, Business Analysts, and Data Engineering.
  • Develop and manage the analytics products roadmap and prioritize features based on customer and business needs.
  • Engage in designing and providing specifications for the new BI solution.
  • Collaborate with engineering teams to ensure timely delivery of product features and enhancements.
  • Foster a culture of collaboration, innovation, simplification, and continuous improvement within the wider team.
  • Identify areas for program expansion, enhancement, or modification based on business needs and market trends.
  • Raise the standard of products produced by the team in the area of data visualization & AI through coaching, innovation and best practices.

EXPERIENCE AND QUALIFICATIONS:

  • You hold a Bachelor’s or Master’s degree in a technology or business related field
  • 2+ years of experience managing projects cross-functionally with engineering, sales, finance, etc., preferably in the e-commerce, hospitality or technology sector
  • Experience in consulting, especially driving transformation or change programs is a big plus
  • Advanced skills in Excel and Powerpoint and a working knowledge of data visualization tools (e.g. Tableau) or programming languages (e.g. SQL, Python) is a plus
  • Previous exposure to PM tools and methodologies (e.g. Jira, Confluence, Agile) is a plus
  • Strong analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights
  • Ability to manage a wide range of stakeholders (e.g. Analytics, Finance, Data Engineering, ML, Business, etc), as well as communicate with C-suite executives
  • Experience working with data (analysis, migration, modelling, governance, reporting)
  • Excellent leadership and team management skills, with the ability to align and motivate cross-functional teams
  • Passion for continuous improvement and driving innovation
Responsibilities
  • Independently drive execution of technical projects within or across various teams, and act as a force multiplier to free the team to focus on technical delivery.
  • Collaborate with stakeholders to establish program objectives, deliverables, milestones and timelines.
  • Prioritize tasks, track project schedule, and share weekly updates with leadership and stakeholders in the relevant forums.
  • Proactively manage risk, working with the team to anticipate new risks and lead mitigation planning.
  • Represent analytics with various data engineering and machine learning teams.
  • Scale analytics and drive analytical efficiency through simplification of reporting, integration of GenAI, and cross team collaboration
  • Act as the liaison between C-suite, Business Analysts, and Data Engineering.
  • Develop and manage the analytics products roadmap and prioritize features based on customer and business needs.
  • Engage in designing and providing specifications for the new BI solution.
  • Collaborate with engineering teams to ensure timely delivery of product features and enhancements.
  • Foster a culture of collaboration, innovation, simplification, and continuous improvement within the wider team.
  • Identify areas for program expansion, enhancement, or modification based on business needs and market trends.
  • Raise the standard of products produced by the team in the area of data visualization & AI through coaching, innovation and best practices
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