Data Product Owner

ScottishPower

Glasgow, United Kingdom
Base: £52,400; bonus/equity: up to 15% bonus; bene...
Hybrid
Data model development and management
Data governance processes
Data quality initiatives
The Data Product Owner will be responsible for leading on development and management of a centralised and integrated data model for GSUK, critical to ensure the ongoing maintenance of data confidentiality, integrity and availability of data, insights and reporting

Job Summary

  • The Data Product Owner will be responsible for leading on development and management of a centralised and integrated data model for GSUK, critical to ensure the ongoing maintenance of data confidentiality, integrity and availability of data, insights and reporting.
  • The role will ensure all data solutions align to IBE’s data architecture standards, working closely with IT and Architecture teams who provide the technical design and implementation.
  • As well as a competitive salary which is reviewed annually, you can also enjoy a number of other benefits including a pension scheme, 36 days annual leave, and healthcare benefit options.

Matching Summary

The Data Product Owner will be responsible for leading on development and management of a centralised and integrated data model for GSUK, critical to ensure the ongoing maintenance of data confidentiality, integrity and availability of data, insights and reporting.

Salary

Base: £52,400; Bonus/Equity: up to 15% bonus; Benefits: private medical & other excellent benefits

Skills & Requirements

Must-have

  • Data model development and management
  • Data governance processes
  • Data quality initiatives
  • Data solutions alignment
  • Power BI (Cloud BI) expert knowledge

Nice-to-have

  • Promoting data-driven best practices
  • Continuous improvement of Programme activities
  • Embraces changes and keeps employees informed

Key Requirements

  • Bachelor's degree in computer science, data science, software engineering, or information systems
  • Expertise in at least one computer language (SQL, SAS, R, Python)
  • Expert understanding of data warehousing and MI environments
  • Experience in business analytics tools and CRM platforms
  • Demonstrated business acumen and analytical skills
  • Proficiency in development, documentation, and communication of analytical plans

Work Rights

Not specified

Tailored Resume

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