Engineering Manager

• Purpose of the role

To  lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. 

Accountabilities

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
• Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

Join Barclays as an Engineering Manager, where you'll lead the development of cutting-edge Conversational and Generative AI solutions to transform customer and colleague experiences.

This role requires an individual who can drive innovation, mentor team members, and shape a dynamic environment that fosters creativity and excellence. You'll tackle strategic challenges, collaborate with cross-functional teams, and guide the organisation toward groundbreaking advancements.

With visionary leadership, you'll be instrumental in setting new standards and delivering unparalleled service to millions of customers. If you're excited by the opportunity to shape the future of AI innovation, take the leap and apply now!

To be successful as an Engineering Manager you should have experience with:

• Managing and building high-performance, globally diverse teams developing conversational and/ or Generative AI experiences
• Mentor and develop team members, identifying talent gaps and fostering a culture of technical excellence and continuous improvement
• Collaborating with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions.
• Planning and executing long-term strategies that move your team and the product stage(s) toward business objectives. This includes decision-making, alignment, staffing, prioritisation, leading through change, and working through ambiguity.
• Understanding Engineering KPIs and seeking to improve them.

Other highly valued skills include:

• Experience developing AI applications within a regulated organisation
• Proficiency in cloud platforms (AWS preferred)
• Knowledge of data engineering concepts
• Knowledge of DevOps concepts. CI/CD i.e. Gitlab Runners, Jenkins and Infrastructure as Code i.e. Terraform, CloudFormation

This role will be based out of our Radbroke, Knutsford campus.