Vice President Data Analysis and Subject Matter Expert Lead

Job Description

Purpose of the role

To manage the efficient delivery of large-scale technical projects and capabilities across the bank and collaborate with internal and external stakeholders to understand their needs and expectations throughout the software product lifecycle, adhering to agreed time, budget and quality requirements. 

Accountabilities

• Management of the delivery, resource allocation and improvement of complex technical project capabilities across the bank using Agile/Scrum methodologies for planning, stand-ups, demos, retrospectives and the execution of sprints.
• Collaboration with customers and business teams to manage and implement customer trails to support the proposal of technically feasible solutions, and effort and timeline expectations.
• Collaboration with software engineers, quality teams, product managers and other engineering teams to deliver high-quality products and features through the software project lifecycle aligned to the banks objectives, regulation and security policies.
• Identification, assessment, and mitigation of risks associated with technical projects to prepare the bank for potential challenges.
• Management of change requests and communication with stakeholders throughout the project lifecycle.
• Management of vendor relations involved in technical projects to ensure they deliver according to agreed terms.
• Stay abreast of the latest industry technology trends and technologies, to evaluate and adopt new approaches to improving deliver outcomes and to foster a culture of continuous learning, technical excellence and growth.

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.

Join us as Vice President Data Analysis & SME Lead at Barclays, where you will play a pivotal role in bringing strategic direction, advanced analytical and leadership expertise working towards ensuring that the implementation of several Corporate Bank initiatives align with & adhere to the Corporate Strategy. 

To be successful in this role, you should have:

• Proficient in analyzing complex data sets and interpreting results to provide actionable insights.

• Proficient in writing SQL and NoSQL queries, with hands-on experience in data modeling and query optimization for both relational and non-relational databases.

• Expertise in using data analysis tools such as SQL, Python, R, and Excel.

• Skilled in creating clear and informative visualizations using tools like Tableau, Power BI, or similar platforms.

• Strong understanding of statistical methods and their applications in data analysis.

• Excellent analytical and problem-solving abilities to identify trends, patterns, and anomalies in data.

• Exceptional verbal and written communication skills to effectively present findings to stakeholders.

• High level of accuracy and attention to detail in data analysis and reporting.

• Experience in leading and mentoring a team of data analysts.

• Strong understanding of business processes and the ability to align data analysis with business objectives.

Some other highly valued skills may include:

• Knowledge of machine learning algorithms and their applications in predictive analytics.

• Familiarity with big data technologies such as Hadoop, Spark, or similar.

• Good understanding of Data Engineering and Data Analytics in the Financial domain.

• Knowledge of data governance practices and data quality management.

• Experience with advanced statistical techniques such as regression analysis, clustering, and hypothesis testing.

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 this role is Pune.