Data Security Lead

Barclays Business Banking; Glasgow; On-site; GBP 60,000 - 90,000; Full time

Job summary

Join Barclays Business Banking as a Data Security Lead in Glasgow, where you'll safeguard systems that handle data across the organization. This mid-senior role involves collaboration with cross-functional teams to ensure secure data practices while enabling advanced analytics and AI applications. Key responsibilities include building data security architectures and ensuring compliance with best practices in cybersecurity.

Benefits

Competitive salary

Career development opportunities

Health and wellness programs

Flexible working arrangements

Qualifications

• Proven experience in data security and architecture.
• Background in cloud technologies with hands-on experience.
• Experience conducting threat modeling and security implementations.

Responsibilities

• Build and maintain secure data architectures including pipelines and lakes.
• Collaborate with data scientists on machine learning models.
• Design security measures that manage data volumes and velocities.

Skills

Cloud technologies

Data security architecture

Cybersecurity

Security by design

Threat modeling

AI/ML experience

Communication skills

Education

CISSP certification

CCSP certification

GSEC certification

Cloud security certifications

Tools

AWS

Azure

GCP

Job description

Join to apply for the Data Security Lead role at Barclays Business Banking

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Join to apply for the Data Security Lead role at Barclays Business Banking

Embark on a transformative journey with Barclays as a Data Security Lead to play a pivotal role in building and maintaining the secure systems that collect, store, process, and analyse data across our organisation. This includes safeguarding data pipelines, data warehouses, and data lakes—ensuring all information is accurate, accessible, and, above all, secure.

As a Data Security Lead, you will collaborate with cross-functional teams to embed security by design into our data infrastructure, enabling advanced analytics and data science use cases—including AI and Machine Learning—without compromising on compliance or control.

To be successful as a Data Security Lead, you should have experience with:

• Proven architecture and control design experience in a data security or cybersecurity context.
• Strong background as a Cloud technologist with hands-on experience in data science platforms and AI/ML use cases.
• Demonstrated expertise in implementing security by design principles and conducting threat modelling and translating this into designs mitigations for delivered patterns.
• Ability to translate complex security requirements into practical and scalable architectural solutions.
  
  

Some Other Highly Valued Skills May Include

• Certifications such as CISSP, CCSP, GSEC, or cloud-specific security certifications.
• Experience with public cloud platforms such as AWS, Azure, or GCP, especially around data services.
• Understanding of emerging threats in AI/ML applications, including adversarial attacks or data poisoning.
• Strong communication skills and the ability to engage with both technical and non-technical stakeholders.
  
  

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role will be based in Glasgow.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.
  
  

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.
  
  

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking

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