Tech Data Product Owner

Sep 12, 2023

Madrid, Spain

Company Description

IAG Tech is a community of IT and digital professionals from across the International Airlines Group (IAG). We drive the technology behind some of the biggest and most successful brands in global aviation, including British Airways, Aer Lingus, and Iberia.

Brought together in 2019, we are a unique community with a shared vision to deliver Technology Excellence and be recognised as industry leaders in the use of technology.

Our mission is to delight customers, enable employees, accelerate business performance, protect our business and increase shareholder value, through the innovative and agile use of technology and data.

We use product-centric delivery teams using agile methods to implement new capabilities at pace and maximise business outcomes. With a relentless focus on improving system performance and stability, we continually strive to find new and better ways to innovate and support the Group.

Our Values

At IAG Tech we share common values to help us create the right culture to underpin our thriving community:

Innovation | we value identifying new ways of using technology to solve business challenges

Empowerment | we value giving people the freedom to operate, that they take accountability, and collaborate with colleagues

Professionalism | we value having and developing the right knowledge and competency to be able to do our jobs to the best of our ability

Transparency | we value honesty and integrity and always share the reality in a manner the business understands

Agility | we value responsiveness, speed and flexibility in everything we do

We celebrate when we see great examples of our values in action and challenge each other when we see these values being ignored.

Job Description

We are a leading Spanish airline looking to expand our team with a new Data Product Owner. This exciting role requires a highly motivated and experienced individual with a passion for cutting-edge technologies and a strong background in data management and innovation. As the Data Tech Product Owner, you will be responsible for researching, identifying, and implementing data-driven solutions to revolutionize the airline industry.


  • Research and Stay Updated on Data Technologies: Identify how these technologies can be utilized in the developments to drive data-driven decision-making and improve customer experiences.
  • Identify opportunities and use cases for these technologies: Collaborate with cross-functional teams to understand business objectives and challenges. Support Business to identify opportunities for leveraging data and analytics to address these challenges and drive business growth.
  • Collaborate with stakeholders and external partners to implement new integrated solutions: Work closely with development teams, creating user stories in Jira, and tracking team performance. Seek improvements in agile ways of working and ensure efficient data product development. Lead the implementation of system integrations and demonstrate their value and potential. Ensure the solution designs meet industry quality standards such for cyber security, robustness, scalability, and cost efficiency.
  • Quality Assurance and Impact Assessment: Ensure data quality and robustness in each system integration. Know by hard the data and secure the Governance of Data. Track product OKRs, continuously evaluate the product's success and make recommendations for improvements.
  • Communicate with key stakeholders: Ensure effective communication with key stakeholders, ensuring that the data solutions are meeting their needs and delivering a positive impact on the business. Keep stakeholders informed about progress, findings, and opportunities for growth or optimization.
  • Be a technical reference: Act as a technical authority by comprehending system architecture and proposing streamlined system integrations. Demonstrate expertise in various systems, identifying optimal pathways for seamless integration.


  • Bachelor's degree in Computer Science, Engineering, or related field; or relevant work experience in these fields.
  • Minimum of 10 years of experience in IT and innovation.
  • Strong understanding of the latest Data tech trends.
  • Experience in working in Agile (scrum), using the Jira suite is a plus.
  • Experience as scrum master is a plus.
  • Experience in the airline industry is a plus.
  • Experience in AWS native technologies for Data is a plus.
  • Fluent in Spanish and English.
  • Proactiveness, initiative taking and attention to detail are crucial qualities for this role.
  • Strong problem-solving and analytical skills.

Additional Information


The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry, working in a multi-cultural environment with great offices in many locations. We aim to provide all our people with a work/life balance, as well as the many benefits offered by a global organisation, including health insurance, pension, and performance bonuses.

Diversity and Inclusion

IAG Tech is part of the IAG GBS organisation, and our people are at the heart of everything we do. We recognise that we can only deliver the required business outcomes if we have a thriving community of technology professionals. Together we strive to become the very best at what we do.

We focus on making Tech a great place to work, with a community that we feel proud to belong to. To help make this a reality, our people strategy focuses on six key domains: Engagement, Talent Management, Reward and Recognition, Performance Management, Learning and Development and Culture.

We understand the importance of Diversity and Inclusion in the workplace to deliver this strategy – everyone should feel part of our team. We want to foster an inclusive workplace, celebrate individuality and embrace differences so that everyone in IAG Tech can achieve their goals and ambitions, regardless of their personal circumstances or background.

As a Group, IAG has an ambition that 40% of senior management roles are held by women by 2025. IAG Tech fully supports that ambition, and we are working to help make it a reality. With this in mind, we have set ourselves the challenging target of recruiting 50% female colleagues by 2030.

Join 27167+ Machine Learning Engineers, receiving daily job alerts.