Portfolio Lead - Data

Portfolio Lead - Data Enablers G7

Manchester, Liverpool, Nottingham, Newcastle

Job Summary:

The role exists to support the developments and delivery of a number of technology projects in the People Data delivery space. Experience of technology delivery (or similar) would be advantageous but we are primary looking for a colleague with knowledge of data flows and the delivery of people analytics products.

Job Description:

• Data integration design: implement the appropriate technologies to deliver resilient, scalable, and future-proofed data solutions.
• Co-ordinate the Data warehouse resource and set best practice and standards.
• Lead the formation, implementation and management of data governance frameworks, policies, and standards.
• Implement and establish wider data management competencies within the organisation (such as data quality assurance, metadata management, master data management, data modelling, and development of data standards and data strategy)
• Be responsible for understanding and managing the organisational data risks and issues, and co-ordinating with data owners to accept or resolve them.
• Design and implement continuous improvements to optimise data governance over a data life cycle.
• Work with subject matter experts across the organisation to introduce new technologies and instil best practice
• Build long-term strategic relationships and communicate clearly and regularly with stakeholders.

Essential Criteria:

You will have experience of:

• You must currently have an active SC Clearance
• Listening to and interpreting the needs of technical and non-technical stakeholders and manage their expectations.
• Showing an awareness of opportunities for innovation with new tools and uses of data.
• Designing data architecture by understanding and providing solutions, dealing with specific business problems, and aligning it to enterprise-wide standards and principles.
• Bringing multiple data sources together in a conformed model for analysis.
• Managing resources to ensure that data services work effectively at an enterprise level.
• Testing. You can review requirements and specifications and define test conditions. You can identify issues and risks associated with work. You can analyse and report test activities and results.
• Implementing and monitoring data governance using standard methodology throughout the data life cycle, within a large organisation.