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Data Analytics Director

2 months ago

Mortimers Cross, United Kingdom Onyx-Conseil Full time
About the Role

Onyx-Conseil is seeking a highly skilled and experienced Data Analytics Senior Manager to lead our Data Analytics team. As a key member of our organization, you will be responsible for providing accurate, consistent, timely, and reliable information to support business decision-making.

Key Responsibilities
  1. Champion a Culture of Data-Driven Decision Making

Lead the development and implementation of a data-driven culture across the organization, ensuring that data quality and accountability are paramount.

Facilitate Business Data Analytics Governance

Serve as the administrative chair of a business data analytics governance council, reviewing and approving information policies, data analytics priorities, and resource allocations.

Review and Recommend Information-Related Policies

Review and recommend approval for information-related policies, procedures, and standards, ensuring alignment with business objectives.

Lead Data Analytics Workstream Projects

Direct, organize, and lead data analytics workstream projects, establishing processes, roles, and quality criteria for workstream planning, technical design, development, testing, and delivery of data analytics solutions.

Establish Data Architecture and Quality Criteria

Review and approve data architecture, data models, and specifications, ensuring alignment with business requirements.

Develop Performance Metrics and Plans

Establish and publish performance metrics and plans for data analytics service demand and service levels, ensuring alignment with business objectives.

Manage Budgets and Resources

Prepare and manage annual capital and operating budgets for data analytics assets, personnel, and services, ensuring effective resource allocation.

Approve Data Analytics Tools and Frameworks

Approve the selection of tools, frameworks, and mechanisms for data analytics, ensuring alignment with business requirements.

Minimum Qualifications
  1. A university degree in computer science, economics, operations, management, or a related field is required.
  2. Medical device or pharmaceutical industry experience is preferred.
  3. Experience with agile software development is essential.
  4. A solid understanding of key trends, including machine learning and artificial intelligence, is required.
  5. Experience managing global, complex projects and teams is necessary.
  6. Ability to complete projects and achieve results in an ambiguous work environment is essential.
  7. Strong leadership and consensus-building abilities across global cultures and all levels of management are required.