Data Analytics Director

4 weeks ago


Mortimers Cross, United Kingdom Onyx-Conseil Full time
Job Description

Onyx-Conseil is seeking a highly skilled Data Analytics Senior Manager to join our team in Kings Cross London.

About the Role

The Data Analytics team at Onyx-Conseil provides accurate, consistent, timely, and reliable information to support business decision-making. As a Data Analytics Senior Manager, you will be responsible for championing a culture of fact-based decisions, data quality, and accountability across the organization.

You will serve as the administrative chair of a business data analytics governance council, reviewing and approving information policies, data analytics priorities, and resource allocations. Additionally, you will direct, organize, and lead DA workstream projects, establishing processes, roles, and quality criteria for workstream planning.

Key Responsibilities
  • Champion enterprise-wide culture of fact-based decisions, data quality, and accountability.
  • Serve as the administrative chair facilitating a business data analytics governance council.
  • Review and recommend approval for information-related policies, procedures, and standards.
  • Directs, organizes, and leads DA workstream projects.
  • Establishes processes, roles, and quality criteria for workstream planning process.
  • Reviews and approves data architecture, data models, and specifications.
  • Establishes and publishes performance metrics and plans for DA service demand and service levels.
  • Prepares and manages annual capital and operating budgets for DA assets, personnel, and services.
  • Approves selection of tools, frameworks, and mechanisms for data analytics.
Requirements
  • University degree in computer science, economics, operations, management, or a related field.
  • Minimum of five years of progressively responsible experience in a directly related area.
  • Medical device or pharmaceutical industry experience is preferred.
  • Experience with agile software development.
  • Solid understanding of key trends including machine learning and artificial intelligence.
  • Experience managing global, complex projects and teams.
  • Ability to complete projects and achieve results in an ambiguous work environment.
  • Strong leadership and consensus-building abilities across global cultures and all levels of management.


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