Data and Analytics Manager

3 weeks ago

Kings Cross Greater London, United Kingdom Jas Gujral Full time €70,000 - €85,000

Data Analytics Senior Manager – Kings Cross London
The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems.
The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration.
Champion enterprise-wide culture of fact-based decisions, data quality and accountability.
Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations.
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 including inception, technical design, development, testing and delivery of DA solutions.
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.
Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas:
Data governance
Data preparation (sourcing, acquisition, integration)
Data warehousing
Reporting, analytics, data exploration
A university degree in computer science, economics, operations, management, or a related field is required
Medical device or pharmaceutical industry experience is preferred.
Experience with agile software development.
A 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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