Head of Data Science and Architecture

5 days ago

Manchester, United Kingdom MAG Full time

The Role

MAG is on a mission to build the world's most intelligent airports. As the Head of Data Science and Architecture, you will oversee the strategic direction and technical governance of data science initiatives. You will lead a team of data scientists and analysts, working collaboratively with stakeholders across the organization to align data science initiatives with business objectives.

Working closely with the product leadership team, you will ensure that data science solutions support MAG's enterprise architecture and align with the organization's overall strategy. You will collaborate with Product Managers and business stakeholders to develop and implement data-science solutions that drive innovation and efficiency.

In addition to your technical expertise in data science and analytics, you will be instrumental in developing and mentoring your team members, providing guidance and support to ensure their success. Through effective leadership and coordination, you will empower your team to deliver impactful solutions that address key business challenges, such as digitizing the passenger journey, optimizing operational processes, and enhancing employee experiences.

Together with your team, you will leverage data and analytics to identify opportunities for improvement, drive operational efficiencies, and solve complex business problems across the organization.

Key Responsibilities

  • Develop and implement a data science strategy that aligns with MAG's business objectives.
  • Lead a team of data scientists and analysts to deliver data-driven solutions that drive innovation and efficiency.
  • Collaborate with Product Managers and business stakeholders to develop and implement data-science solutions.
  • Develop and mentor team members, providing guidance and support to ensure their success.
  • Leverage data and analytics to identify opportunities for improvement and drive operational efficiencies.

Requirements

  • Proven experience of managing data science and analytics within a transformational business.
  • Proven experience of designing and delivering data science and analytics strategy and full development life cycle.
  • Extensive experience of data, information, advanced analytics, and data science solutions and best practices.
  • Data modelling, design, and road mapping.
  • Strong understanding of future developments in cloud computing and experience of re-platforming.
  • 10 years or more cloud experience on AWS including S3 and Redshift, and SQL coding.
  • Excellent communication skills to convey complex technical information and influence decision-making.
  • Ability to understand and articulate the interplay between business functions, processes, and IT components.
  • Proven track record of staying abreast of emerging technology trends and effectively leveraging new technologies.
  • Experience in devising data science transformation strategies and plans.
  • Ability to provide data science expertise and guidance to technology leaders and business stakeholders.
  • Experience of leading and developing a high-performing team, including recruitment and performance management.
  • Ability to communicate clearly and be listened to at all levels of the organization.
  • Minimum of 10 years experience as Lead Data Engineer.
  • TOGAF or equivalent experience.
  • A degree-level qualification and/or equivalent experience in a relevant field.
  • Experience of working in multiple global organizations.

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