Financial Crime Data Architect
Glasgow Campus, United Kingdom
Barclays
Barclays is a British universal bank. Our businesses include consumer banking, as well as a top-tier, global corporate and investment bank.Purpose of the role
To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.
Accountabilities
- Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
- Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage.
- Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
- Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
- Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
- Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
- Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio.
- Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards.
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.
As a Financial Crime Data Architect at Barclays, where you will contribute to the definition and delivery of data architecture that supports our financial crime initiatives. You’ll work on the design of shared data environments, data models, and data standards to help ensure data is accurate, secure and readily available for both business and regulatory purposes.
To be successful as a Financial Crime Data Architect, you should have experience with:
Previous experience in designing and implementing data architectures, with a focus on complex data environments and data models, particularly within financial crime, risk, or compliance domains.
Understanding of financial crime regulations (Anti Money Laundering, Know Your Customer, Sanctions) and how data architecture supports compliance and risk management within these areas is desirable.
Experience with data governance, data quality and data security practices, ensuring the integrity, confidentiality and accessibility of data.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role will be located at our Glasgow, Bournemouth or Knutsford office.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data governance DataOps Data quality Security
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