Data Product Lead - Software Engineering / AI Full-timeContract Type: PermanentDirectorate: IAG AiCompany Description:IAG.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 strategic and analytical Data Product Lead to drive product vision and strategy for IAG.ai. As a Data Product Lead, you will play a crucial role in leveraging data from engineering tools to uncover valuable insights, drive data-driven decision-making, and deliver measurable value across IAG.ai and the Group.As the Data Product Lead, you will be responsible for setting the vision and roadmap for key engineering and data products, ensuring alignment with business objectives, and working closely with cross-functional teams to deliver impactful solutions. You will collaborate with engineering teams to transform data into actionable insights that drive strategic decisions.The Software Engineering team is on a mission to accelerate the value produced by product engineering teams at IAG.ai and across IAG, enabling and empowering software engineering and AI teams to deliver high-quality software efficiently and safely, leveraging best practices.The main product accountability is for a greenfield Engineering Metrics Platform that pulls data from GitHub, Snyk, SonarCloud, and other 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 be a mentor for their Product Owners and leaders: MarketPlace, Tooling-as-a-Service, and the AI Engineering Platform. The Data Product 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 Product Management / Product Ownership and leadership skills, with the ability to manage products that interface with technical tools and drive data-driven decision-making.Great stakeholder management and communication skills, able to translate data into understandable insights for different roles and levels.An inspirational leader, with a passion for team culture and innovation within a dynamic team.Strong ability to work with data and understand engineering productivity data, with knowledge of APIs and database 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 PowerBI (or equivalent) 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. Willingness to get hands-on where needed to create dashboards for different personas across the business. Able to understand database schema and how different datasets can be linked to create insights.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.Experience:Ideal candidates will have a strong background in product management with a proven track record of translating complex technical data into strategic business insights. It may suit someone who has had early experience in a software engineering and/or data profession who then moved into product management roles.Experience managing the roadmap and 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.Evidence of managing product adoption and value creation for data products that meet business needs.The candidate must have an understanding of engineering productivity metrics on delivery, efficiency, quality, and security in order to interpret what they mean and understand how to improve the way we measure and track these metrics. Must have an understanding of how to aggregate data from multiple sources into meaningful metrics and insights.The candidate should have an understanding of the SDLC and technical tools used by engineers. They may have worked with engineering tools such as GitHub, AWS, Snyk, SonarCloud, and/or developer metrics tools (e.g. LinearB, Pluralsight or Atlassian Compass).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.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, IAG Tech, 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 from 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.#J-18808-Ljbffr
