Software Engineer VP
AI in this role
Purpose of the role
To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Accountabilities
- Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
- Designing and building data pipelines to automate data movement and processing.
- Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
- Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
- Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.
Vice President Expectations
- To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
- If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
- 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
- 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.
At Barclays, we don’t just adapt to the future – we create it. Embark on a transformative journey as part of the Software Engineer VP where you’ll play a pivotal role in ensuring the resilience, scalability, and reliability of critical payment systems within the Merchant Services domain. You will be a key contributor championing quality and performance for systems that power merchant transactions, focusing on driving improvements in system stability, throughput, efficiency, and control.
Working closely with BA, SA, Engineering teams and stakeholders across Merchant Services, you will help deliver high-performing solutions through agile delivery models. You will collaborate to understand system benchmarks, identify performance bottlenecks, and lead performance engineering initiatives while interfacing with technology partners to ensure optimal system behaviour under varying load conditions.
Leading the ongoing drive to enhance platform performance and reliability, you will champion a data-driven and collaborative approach, ensuring that performance considerations are embedded throughout the software development lifecycle. Additionally, ensuring compliance with performance standards, risk controls, and service-level expectations will be a key responsibility.
To be successful as a Software Engineer VP, you should have experience with:
- Large-Scale Platform Engineering Experience using technologies like Java, Spring boot, Microservices architecture, REST APIs and Service-Oriented Architecture (SOA), Event-Driven Architecture.
- Ownership of strategic technology roadmaps and platform modernization initiatives.
- Track record of driving engineering excellence through DevSecOps, automation, reliability, and operational resilience.
Some of Highly Valued Skills may include:
- Banking / Payments domain preferred.
- Java & Spring Ecosystem.
- Cloud (AWS/Azure).
- Microservices Architecture.
- Kafka & Event Streaming.
- API Engineering.
- Oracle & Enterprise Data Platforms.
- Kubernetes & Container Platforms.
- CI/CD & DevSecOps.
- Observability & Platform Reliability.
- Finance & Accounting Technology.
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.
The location of the role is Pune, IN.
How we score this
Software Engineer VP at Barclays scores 37 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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