Head of Data Science and Architecture

3 days ago

Manchester, United Kingdom MAG Full time

About the Role

MAG is on a mission to build the world's most intelligent airports. As the Head of Data Science and Architecture, you'll be responsible for overseeing the strategic direction and technical governance of data science initiatives. Leading a team of data scientists and analysts, you'll work collaboratively with stakeholders across the organization to align data science initiatives with business objectives.

Key Responsibilities

  • Develop and implement a data science strategy that drives business growth and innovation.
  • Lead a team of data scientists and analysts to design and deliver data-driven solutions that meet business needs.
  • Collaborate with product leadership to ensure data science solutions align with the organization's overall strategy.
  • Develop and maintain relationships with key stakeholders to ensure data science initiatives are aligned with business objectives.
  • Stay up-to-date with emerging technologies and trends in data science and analytics.
  • Provide guidance and support to team members to ensure their success.
  • Empower the team to deliver impactful solutions that address key business challenges.

Requirements

  • Proven experience in managing data science and analytics within a transformational business.
  • Experience in designing and delivering data science and analytics strategy and full development life cycle.
  • Extensive experience in data, information, advanced analytics, and data science solutions and best practices.
  • Data modeling, 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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