at IAG GBS
Full TimeIAG.ai is a new growing team within the International Airlines Group (British Airways, Iberia, Vueling, Aer Lingus, IAG Loyalty, IAG Cargo, IAG Tech), with a mission to accelerate time to value and our market position through the use of Artificial Intelligence, working with multiple Operating Companies across the IAG group. We are seeking a talented and analytical Data Product Lead to join our IAG.ai team. As a Data Product Lead, you will play a crucial role in leveraging data and tools to uncover valuable insights, drive data-driven decision-making, and support our organization's goals.
The Software Engineering team consists of 3 teams, and this role sits on the largest team, Engineering Acceleration. Other teams are Central Tooling Services and the AI Engineering Platform team. The mission of the Engineering Acceleration team is to enable and empower software engineering and AI teams across IAG to deliver high-quality software efficiently and safely, leveraging best practices and reusable assets.
The main product that this role is currently accountable for is a bespoke Engineering Metrics Platform that pulls data from GitHub and multiple technical tools to surface data-driven insights. These insights help facilitate engineering productivity improvements, cost savings, and decreased risk of security or quality issues across all of IAG. The role will also have oversight of 3 other Software Engineering team products and work closely with their Product Owners and leaders: MarketPlace,Tooling-as-a-Service, and the AI Engineering Platform. The Data Produt Lead will manage the roadmap, reporting, and OKRs for the Software Engineering team to ensure we are delivering value for IAG.ai teams and for our tools used across the IAG Group. The role may evolve to suit the needs of the team, so this ownership may not necessarily stay static.
Skills
Strong ability to work with data and understand engineering productivity data, with knowledge of APIs and queries highly desirable, in order to create meaningful dashboards of engineering metrics (e.g. delivery/quality/security) from multiple data sources
Ability to design and create dashboards that help visualize the value of the Software Engineering team for senior stakeholders, creating compelling stories around tools usage, efficiency metrics, and OKR tracking
Dynamic, creative, problem-solving approach, with the ability to come up with ideas and hypotheses that enhance the value of the team’s bespoke engineering metrics platform to produce engineering insights and promote the internal MarketPlace for sharing reusable patterns, APIs and documentation across the group
Experience
Ideal experience would be someone with a strong Product background plus previous experience in a software engineering and/or data profession. It is essential to be able to deeply understand engineering productivity metrics on delivery, efficiency, quality, and security to interpret what they mean and understand how to improve the way we measure and track these metrics. Preferred experience working first-hand with a developer metrics tool like LinearB or Pluralsight.
Requires good experience of technical tools and automation, with a willingness to get hands-on where needed; for example, working with multiple engineering tools, such as GitHub, AWS, Snyk, SonarCloud, engineering metrics tools (e.g. LinearB or Atlassian Compass). Must have an understanding of how to aggregate data from multiple sources into meaningful metrics. Experience with PowerAutomate is preferred but not essential.
Experience creating PowerBI dashboards (or experience with an equivalent dashboard tool) to pull together management data in a meaningful way from multiple sources
Experience managing the delivery of value at speed in agile product teams with a high rate of change, potentially with experience in a startup or a startup within a corporate environment
Accountability
Creates the Product Vision, Strategy, and Roadmap
Accountable for capturing evidence about the actual and potential future value of the product, expressed through aligned OKRs and Roadmaps
(With PMO Lead, Delivery Lead) Establishes system of value management, up-to-date data on value and OKR burndown, which is captured through monthly syncs and quarterly business reviews, to discuss, pivot, or persevere decisions based on data
Accountable for the quality of data within the OKRs system, including the accuracy and timeliness of updates, actuals and forecasts
Accountable for securing continued investment in the product(s) as a result of evidenced past performance and future potential
Accountable for generating data and MI on up-to-date customer adoption ("Number of users") and usage insight ("volume measures") and for creating a valuable metrics platform that customers in Operating Companies (e.g. IAG.ai, BA, Iberia, Cargo, Aer Lingus, etc) are interested in consuming and are able to easily use for actionable insights
Accountable for generating continuous flow of data, insight, and testimony evidencing team achievements, product releases, adoption and value release through product usage:
Regular updates to achievements trackers and newsletters
OKRs updates
Verbatims form OpCos
Customer spotlights at town halls, team calls, etc
Invests time and energy in understanding the nature of value in IAG.ai and the Operating Companies and building stakeholder relationships
Mentors and inspires a number of direct and/or indirect reports
What we offer
