Senior Data Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Grade H Responsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using sound technical capabilities, building and maintaining effective working relationships, ensuring relevant standards are defined and maintained, and supporting delivery of process and system improvements. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation.

Key responsibilities:

• Manage and develop existing data strategies across multiple business entities.
• Provide leading insight of industry and technology trends to shape the data agenda and platform to create a culture of excellence.
• Lead the end-to-end scope of data management and look for automation opportunities.
• Lead, develop, and manage cross-discipline teams to write, deploy and maintain data products across all business entities.
• Work with cross-disciplinary collaborators and stakeholders to understand use cases, data requirements and value cases.
• Provide support to the teams providing technical guidance, handling dependencies and risks.
• Review and ensure use case, value case, and ensure acceptance criteria are defined.
• Ensure KPIs are clearly recorded, tracked, and aligned with the digital and data strategy.
• Define and implement data standards, ensuring data quality of all data source and business systems.
• Work to identify opportunities to automate manual data processes wherever possible.
• Provide deep data domain knowledge and business context around systems, data sources and data products.
• Work with business partners to implement data strategy and to coordinate data remediation plans to ensure data sets and data products meet business requirements.
• Recommend and advocate data management best practices.
• Present results to influence decision making.
• Actively sponsor and mentor emerging talent and promote a culture of continuous development.
• Experience with some of the SAP products preferable e.g., SAP ECC and have Some Finance exposure.
• Experience with Common Enterprise analytics tools e.g. Spotfire, Power BI etc.
• Experience with Cloud tools e.g., Azure, AWS etc.

Key responsibilities:

• Manage and develop existing data strategies across multiple business entities.
• Provide leading insight of industry and technology trends to shape the data agenda and platform to create a culture of excellence.
• Lead the end-to-end scope of data management and look for automation opportunities.
• Lead, develop, and manage cross-discipline teams to write, deploy and maintain data products across all business entities.
• Work with cross-disciplinary collaborators and stakeholders to understand use cases, data requirements and value cases.
• Provide support to the teams providing technical guidance, handling dependencies and risks.
• Review and ensure use case, value case, and ensure acceptance criteria are defined.
• Ensure KPIs are clearly recorded, tracked, and aligned with the digital and data strategy.
• Define and implement data standards, ensuring data quality of all data source and business systems.
• Work to identify opportunities to automate manual data processes wherever possible.
• Provide deep data domain knowledge and business context around systems, data sources and data products.
• Work with business partners to implement data strategy and to coordinate data remediation plans to ensure data sets and data products meet business requirements.
• Recommend and advocate data management best practices.
• Present results to influence decision making.
• Actively sponsor and mentor emerging talent and promote a culture of continuous development.
• Experience with some of the SAP products preferable e.g., SAP ECC and have Some Finance exposure.
• Experience with Common Enterprise analytics tools e.g. Spotfi