Job Description

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Director Expectations

• To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
• They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• 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.

Role Summary:

• Wholesale Shared Services – TC 35
• Organization Preference - investment banks such as JPMC, Morgan Stanley, BNY, GS etc.
• Seniority : Mid – level Director (must have experience in being a people lead but also have a strong experience in business analysis, data strategy, and client data management)

To be a successful Data Lead, you should have experience with (Mandatory):

• Leadership & Team Management (10 to 12 Direct Reports). Experience in managing cross-functional teams and navigating internal mobility processes. Ability to consolidate under a single lead and assess incumbents for suitability. Clear criteria for people leadership, including stakeholder engagement and delivery focus. Lead by example in exploring new technologies and ideas.
• Strong business analysis skills with ability to translate complex business requirements into data solutions. (requirements gathering, process mapping, gap analysis, user story development, and solution validation with measurable outcomes)
• Data analysis and analytics using modern technologies and cloud. (AWS, visualization tools, and AI/ML applications) Demonstrable experience in investment banking data taxonomies - specifically client and party data. (including hierarchies, relationships, KYC/AML structures, beneficial ownership tracking, and regulatory reporting requirements)
• Data architecture and logical data modelling strategy, design and implementation. (enterprise architecture principles, integration patterns, master data management, and security architecture aligned with regional regulations)

Additional relevant skills given below are highly valued (Desired): 

• Strategic Resource Management: Excel at optimizing global talent allocation, managing time zone differences for continuous productivity, and balancing cost efficiencies with performance requirements while developing offshore team capabilities to support high-value investment banking activities
• Advanced Data Profiling: SQL: Including DDL, DML, performance tuning, PL/SQL, T-SQL and / or Python or Shell scripting: Used for data validation and automation.
• Good knowledge and understanding of data related regulatory requirements across APAC. (e.g.  PDPA, HKMA guidelines, APPI, Privacy Act, PIPL, and financial reporting frameworks like BCBS 239) Experience in implementing data management practices, including metadata, lineage and data quality. (covering business glossaries, automated/manual lineage tracking, DQ frameworks with profiling, monitoring and remediation workflows)  - This requirement was part of Mandatory requirement but basis our discussion, have moved it to desired instead
• Project Management qualification (e.g. PRINCE, PMI)