Data Management Senior analyst

Purpose of the role

To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. 

Accountabilities

• Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
• Monitoring data quality and records metrics and compliance with standards across the organization.
• Identification and addressing of data and records management risks and gaps.
• Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records.
• Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives.
• Provision of Group wide guidance and training on Data and Records Management standard requirements.

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.

Join us as a "Data Management senior analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

To be successful in the role, you should have experience with:

• Strong experience in Data Lineage, Data Governance, Metadata Management, and Data Management frameworks.
• Strong understanding of Data Risk, Controls, Regulatory Requirements, BCBS239, and data governance best practices.
• Ability to engage and influence senior stakeholders across Business, Technology, Risk, and Operations.
• Experience managing large-scale remediation initiatives, control enhancements, and governance programs.
• Strong analytical, problem-solving, and communication skills.
• Experience defining standards, policies, procedures, and governance controls.
• Ability to perform data impact analysis and assess upstream and downstream data dependencies.
• Proficiency in preparing executive-level presentations, management information, and governance reporting.

Desirable skillsets/ good to have:

• Knowledge of Data Management platforms, metadata repositories, and Data Lineage tooling.
• Understanding of Data Quality Management, Critical Data Elements, Data Risk Management, and regulatory data management principles.
• Experience working with workflow and issue management tools to track activities, enhancements, remediation plans, and governance actions.
• Exposure to change management and release management processes to ensure governance artefacts remain accurate and current.
• Understanding of organisational structures, operating models, and governance forums across business and technology functions.
• Familiarity with data architecture concepts, application ecosystems, systems integration, and data lifecycle management.
• Experience supporting audit reviews, regulatory engagements, control testing, and assurance activities.
• Knowledge of financial services, risk management, finance, treasury, regulatory reporting, or related business domains.
• Adaptability and learning agility to operate successfully in an evolving regulatory, governance, and technology environment.
• Strong collaboration mindset with a focus on continuous improvement and stakeholder engagement.

You may be assessed on the key critical skills relevant for success in role, such as experience with Data Governance, Data Lineage, Metadata Management, Tableau, Microsoft Applications, Workflow Management Tools, Data Analysis, Risk and Control Management, Stakeholder Management, and Data Management Frameworks, as well as job-specific skillsets.

Location - Pune.