Based in Singapore, the Data Analytics and Business Process Improvement Manager (AVP-level individual contributor) will drive data-driven process optimization and automation across the organization. In this role, you will analyze current data infrastructure and user workflows, shadow users to understand pain points, and implement modern solutions—ranging from advanced data analytics and AI tools to agentic (autonomous) automation—to streamline key processes and enhance management decision-making. Success in this position requires close collaboration with global product owners and cross-functional teams (Technology, Legal, Compliance, etc.), the ability to influence stakeholders without formal authority, and strict adherence to all internal policies, controls, and external regulatory requirements.

Key Requirements:

• Analytical & Process Improvement Expertise: Proven experience in data analytics and business process improvement, including mapping complex workflows, analyzing data to pinpoint inefficiencies, and identifying high-impact opportunities for efficiency gains and automation.
• Automation & AI Proficiency: Hands-on proficiency with modern technologies (advanced analytics tools, AI/ML solutions, and process automation platforms) to design and implement improvements and develop insightful data visualizations/dashboard reports for decision support.
• Collaborative Influence: Excellent collaboration and stakeholder management skills with a track record of working effectively across global product teams, technology groups, and support functions (e.g. Legal, Compliance) to drive initiatives and build consensus without direct managerial authority.
• Communication & Problem-Solving: Strong ability to engage with end-users (e.g. through process shadowing) to understand business needs, translate complex data findings into clear, actionable recommendations, and communicate process improvement plans to both technical and non-technical audiences.
• Governance & Risk Mindset: Demonstrated commitment to governance, risk management, and compliance – ensuring all proposed solutions and process changes strictly follow internal policies, control standards, and external regulatory requirements.

You may be assessed on key critical skills relevant for success of the role including job-specific technical skills and interpersonal skills.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific, and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

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.