Data Leadership Expert

2 weeks ago

Manchester, United Kingdom Qodea Full time

Role Overview

The Head of Data & AI is a key leadership position within the Engineering Centre of Excellence, responsible for overseeing the design, implementation, operation, and continuous improvement of our Customers' Google Cloud Platform (GCP) Data & AI solutions.

You will play a crucial role in the development and management of the Data & AI team, being directly responsible for the success of this domain. You will balance the provision of domain expertise with the organisational skills to scale a team to potentially hundreds of Engineers.

Key Responsibilities

  • Effective management of the CoE, ensuring agreed KPIs and metrics are achieved, optimised and improved where possible.
  • Ownership of the resourcing and growth strategy for the CoE, based on pipeline, delivery capacity and market developments.
  • Be fluent in advanced Google technologies and demonstrate a keen interest in continuous learning and mastery. Owning the career development plan for Engineers within the CoE.
  • Proactively identify enhancements, directing key engineering decisions, and maturing the overall vision of the department.
  • Provide a Domain SME interface to the pre-sales function, facilitating where deep technical assistance is required.
  • Promote the creation and innovation within delivery teams, optimising offerings based on feedback and ensuring continual improvement.
  • Be accountable for the internal IP development programmes within your CoE. Acting as a product owner and being responsible for its roadmap.
  • Provide strategic feedback to Appsbroker CTS and Google product development teams.
  • Contribute to brand promotion through blog posts, white papers, and presentations, solidifying our position as a leader in the field.
  • Lead discussions with customer technologists, fostering long-term relationships with senior stakeholders.

Requirements

  • Demonstrable experience of successful management and delivery of Data Professional Services for Google Cloud solutions in large Enterprise customers.
  • Expert understanding of GCP Data specific products, services, frameworks and constructs in context of an enterprise setting.
  • Deep working knowledge of common enterprise data related non-functional requirements and how to gather those efficiently to a higher level of accuracy.
  • Excellent working understanding of common data privacy regulations in common sectors and geographies that Appsbroker CTS customers operate within.
  • Significant experience of stakeholder management across multiple verticals for both private and public sector organisations.
  • Experience of architecting cloud-native applications, with the ability to apply this knowledge to design pragmatic solutions on GCP.
  • Experience of leading Data & AI projects, preferably in a structured methodology such as Agile, Scrum, Kanban, etc.
  • Experience in Terraform and code delivery practices and tooling for effective CICD integration for Enterprise customers.
  • Proven experience in managing large engineering teams, promoting collaboration, inclusion and the empowerment of Engineers while promoting best practices.

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