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Are you an experienced Data Operations Lead with really strong experience in defining, leading and implementing architecture? Are you interested in working for a global payments brand who are looking for someone to really develop the offering of the team.

About you

This is a highly technical role so experience in the below is really essential:

  • Deep leadership and operational experience software architecture patterns for continuous delivery
  • Proven successful experience in partnering across geographically and functionally spread data system.
  • Hands on arhictecture delivery experience on React stack.
  • Azure cloud, VSTS, React, Redux, ES6, Jest/Enzyme and Tailgate CSS experience
  • Hands Architecture patterns
  • Kanban Agile Operating Models strong understanding
  • Excellent communication
  • Empathy for the needs of all stakeholders
  • Proficient in project management and analytics
  • Process and data driven with a strong customer sense
  • Ability to navigate the matrix and communicate effectively
  • Ability to interpret results and recommend appropriate action
  • Best thrives in an environment fostering inclusion, innovation, wellness and collaboration
  • An enjoyable, open, positive and collaborative personality is a strong plus.

About the role

  • Define, lead and implement architecture for ops optimization using architecture patterns and tech stack of Azure cloud, VSTS, React, Redux, ES6, Jest/Enzyme and Tailgate CSS
  • Lead for true TDD and Continous Delivary
  • Lead, conceive, implement and manage operational aspects of technical Operations in a Kanban based Agile Operating Model
  • At the level of Strategy, stay informed of the delivery strategy and workstreams
  • Enable and mentor Operation Optimization Team - Offshore and agency implants
  • Deliver scale and Digital marketing excellence for programs for more than 130 markets in 17 languages.

About the client

Well known global payments business with a great repuation as an employer. They are very open to flexible working as well.

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