Enterprise Data Architecture & Governance Lead in King's Lynn

Enterprise Data Architecture & Governance Lead in King's Lynn

King's Lynn Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Opus People Solutions Ltd

At a Glance

  • Tasks: Lead the design and implementation of enterprise data architecture across the organisation.
  • Company: Join Opus People Solutions Ltd, a forward-thinking company focused on data excellence.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a focus on innovation and impact.
  • Why this job: Shape data governance and quality to drive strategic decision-making and service delivery.
  • Qualifications: Strong leadership skills and expertise in TOGAF/CDMP, data governance, and GDPR.

The predicted salary is between 70000 - 90000 Β£ per year.

Opus People Solutions Ltd seeks an experienced Corporate Data Architect to lead the design and implementation of enterprise data architecture across the organisation.

You will shape data structures, integration, governance and quality to enable strategic decision-making and service delivery.

The role requires strong leadership, TOGAF/CDMP expertise, and deep knowledge of data governance, GDPR and modern data platforms.

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Enterprise Data Architecture & Governance Lead in King's Lynn employer: Opus People Solutions Ltd

Opus People Solutions Ltd is an excellent employer, offering a supportive work culture that prioritises sustainable outcomes for children and families. With a focus on professional development, employees have access to growth opportunities and the chance to make a meaningful impact in their community while working in a hybrid role that promotes work-life balance.

Opus People Solutions Ltd

Contact Details:

Opus People Solutions Ltd Recruitment Team

We think you need these skills to ace Enterprise Data Architecture & Governance Lead in King's Lynn

Enterprise Data Architecture
Data Governance
TOGAF
CDMP
GDPR Compliance
Data Integration
Data Quality Management