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AVP Data Governance

senior · Data Science & Analytics

Job Description

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 an "AVP Data Governance" at Barclays, where you will support the Product Office by leading data-driven insight, executive reporting, operational governance and analytical decision support across product delivery, tooling, incident management and governance forums.

The role will work closely with the Chief Data Office to ensure Product Office reporting and analysis reflects data-governance expectations, data-quality considerations, Data and Records-management awareness, enterprise controls and appropriate standards-aligned terminology.

To be successful as an “AVP Data Governance”, you should have experience with:

• Proficient on Python and hands on experience with machine learning, NLP, GenAI / LLM-enabled analytics, classification models, anomaly detection, forecasting or clustering.
• Dashboarding and MI using Tableau, Power BI, Excel.
• Experience working with JIRA, confluence and SharePoint.
• Experience working with Alation or any other meta data management tool.
• Lead reporting and analytics activities for the Product Office, including portfolio performance, tooling demand, delivery status, backlog movement, incident themes, control metrics and operational KPIs.
• Use Python, SQL and advanced analytics techniques to clean, structure, analyse and interpret complex datasets, including operational, incident, Jira, ServiceNow, dashboard and governance data.
• Apply data-science methods such as classification, clustering, NLP, anomaly detection or predictive analysis where appropriate to identify recurring themes, systemic issues and improvement opportunities .

Desirable skillsets/ good to have:

• Understanding of regulatory, audit, risk and control expectations relevant to banking data, analytics, AI and records management
• Exposure to data platforms and governance tools such as Snowflake, Databricks, Alation, Collibra, BDP-like data portals, metadata hubs or cloud analytics platforms
• Experience supporting data-product lifecycle, product governance, roadmap tracking, release planning or data-product adoption.

You may be assessed on the key critical skills relevant for success in role, such as experience with data analytics, as well as job-specific skillsets.

Location - Pune.