IB Client Data Quality and Design Lead

Purpose of the role

To enable effective data governance, risk management, and compliance within the bank, acting as a liaison between business units and the Data & Records Management (DRM) function, translating business needs into actionable strategies and ensuring efficient implementation of DRM.  

Accountabilities

• Partnership with the local business unit to ensure successful implementation of data & records governance frameworks as appropriate to the needs of the business unit.
• Provision of guidance and support on records classification, retention, storage, retrieval and disposal to business units.
• Monitoring local data quality and records metrics and identify areas for improvement.
• Identification of opportunities for data improvement and optimisation.
• Partnership with the relevant business unit to support their data priorities and ensure appropriate decisions related to data & records are embedded in their BAU decision making and change programs.

Director Expectations

• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.
• Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.
• Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.
• Negotiate with and influence stakeholders at a senior level both internally and externally.
• Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.
• Mandated as a spokesperson for the function and business division.

All Senior 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.

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.

• Development and implementation of IB Client Data Management strategy aligned with the business objectives and regulatory requirements.
• Development and implementation of data management systems and technologies.
• Driving a consistent approach and principles for managing and using client data across the business.
• Partnering with stakeholders to drive improvements in the understanding, use and quality of data

• Data design, logical modelling and remediation of client data
• Capturing business requirements and translate into technical data requirements
• Logical data modelling (e.g. ERWIN, Archi, MagicDraw).
• Analytical literacy within a complex e2e architecture and data analysis tooling Python, R, SQL.
• Knowledge of Investment Bank business and related client data flows
• Experience in data and operating model process re-engineering and ownership
• Exposure to data integration design strategies both for internal and external customer usage