Lead Data AI/ML Engineer - Vice President

At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as Lead Data AI/ML Engineer - Vice President, where you'll spearhead the evolution of our Corporate Data Services function. You will be part of a team of engineers with accountability and responsibility for the data engineering. Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management.

Your key responsibilities will be:

• Stand-ups: Participating in daily stand-up meetings to discuss progress, blockers, and plans for the day.
• Model Deployment: Working on deploying AI/ML models into production environments using AWS services like Glue, Lambda, and Step Functions.
• Data Pipeline Development: Building and maintaining data pipelines using Spark and Python to ensure seamless data flow and integration.
• Collaboration: Collaborating with data scientists, software engineers, and other stakeholders to understand requirements and provide technical solutions.
• Monitoring and Optimization: Monitoring the performance of AI/ML models in production and optimizing them for better efficiency and scalability.
• Documentation: Documenting processes, workflows, and best practices to ensure knowledge sharing and compliance with governance standards.

To be successful as a Lead Data AI/ML Engineer - Vice President, you should have experience with:

• Experience: Proven experience in data engineering, AI/ML model deployment, and working with Cloud services.
• AWS Services: Proficiency in AWS Glue, Lambda, and Step Functions for data processing and orchestration.
• Spark Framework: Strong experience with Apache Spark for large-scale data processing.
• Python Programming: Advanced skills in Python for developing data pipelines and integrating AI/ML models.
• AI/ML Model Deployment: Experience in deploying and operationalizing AI/ML models in production environments.
• Data Engineering: Solid understanding of data engineering principles, including ETL processes, data warehousing, and data integration.
• Domain Knowledge: Experience working within Financial Service environment
• Team Leadership: Proven ability to lead and mentor a team, fostering collaboration and ensuring project goals are met.
• Educational Qualification: A bachelor's or master’s degree in computer science, Data Engineering, or a related field.
• Certifications: Relevant certifications such as AWS Certified Data Analytics - Specialty, AWS Certified Machine Learning - Specialty, or other AWS certifications related to data engineering and AI/ML.

Some highly valued skills include:

• DevOps Practices: Familiarity with DevOps practices and tools for CI/CD and infrastructure automation.
• Big Data Technologies: Knowledge of other big data technologies such as Hadoop, Kafka, and Snowflake.
• Machine Learning Frameworks: Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Data Governance: Understanding of data governance, data quality, and data lineage.
• Soft Skills: Strong problem-solving skills, effective communication, and the ability to work collaboratively in a team environment.

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.

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

• 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.