Chief of Data Analytics Data Architect

Purpose of the role: To design, implement, and maintain conceptual, logical and physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.

Accountabilities:

• Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
• Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
• Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
• Strategic architecture definition and product selection.
• Production of logical designs in relevant subject area (technical, data, operational), showing processes, objects, data flows, inputs, stored data and outputs.
• Identifying common components.
• Implementation of architectures and identification, ownership and resolution of design related issues.
• Definition and documentation of data architectures standards, principles and strategies.

Vice President Expectations:

• To contribute or set strategy, drive requirements and make recommendations for change.
• Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and upscale breaches of policies/procedures.
• If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes.
• Lead specialists to influence the operations of a department, aligning with strategic and tactical priorities while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
• If in a leadership position, 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

For an individual contributor, be a subject matter expert within own discipline and guide technical direction. Lead collaborative, multi-year assignments and guide team members through structured assignments, identifying the need for the inclusion of other areas of specialisation to complete assignments. Train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.

Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work for business aligned support areas to keep up to speed with business activity and strategies.

Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives, using influencing and negotiating skills 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.

To succeed as a Data Architect, you should have experience in the following:

• Financial markets experience, with an advanced understanding of trade lifecycles, market structures, and data flows across front-to-back processes.
• Developing proposals for a unified trade data model/representation and supporting its implementation.
• Expertise in data architecture including data flow design, logical and physical data modelling and translating data requirements into solutions that you will work closely with engineering teams to implement.
• Collaborating closely with engineering teams to deliver changes across upstream systems (trade capture) and downstream systems (post-trade processing).
• Stakeholder engagement, including understanding how trades are currently captured and processed, and partnering with business and technical teams across the value chain.

Other highly valued skills include previous experience working in front office environments. You may be assessed on the key critical skills relevant for success in the 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 is in London.