Director of Data Engineering & BI
New Yesterday
Development and implementation of technology strategies, ensuring technology investments are enablers for business success - i.e. improve efficiency, support growth, innovation, and risk management.
Alignment to global data governance frameworks to ensure data quality, security, and privacy, encouraging data-driven decision making by leveraging data analytics and artificial intelligence (AI) to extract insights and inform business strategies.
Implementation of technology practices according to security, compliance and regulatory requirements, and is kept current. Implementation of work in accordance with policies and controls and are actively managing risks. .
Digital transformation/change projects, programmes and initiatives, modernising legacy systems new and enhanced digital solutions to enable customers, clients and colleagues. .
Management of the technology team includes hiring, training, mentoring, and setting and achieving team goals and ensuring that the technology team have the resources and support they need to be successful.
Management of the technology budgets, ensuring appropriate prioritisation of resources, ensuring investments in technology support overall business goals, and that costs are optimised, and efficiencies are delivered, where required, ensuring financial risks associated with technology are mitigated.
Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.
Escalates breaches of policies / procedure appropriately.
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.
Barclays Payments are hiring a new Director, Head of Data Engineering
Define and execute data architecture strategy aligned with business and regulatory needs.
Establish and maintain enterprise-wide data governance, including lineage, quality, and controls.
Provide scalable tooling for BI, reporting, and self-service analytics across the organisation.
Enable ML/AI capabilities through robust pipelines, MLOps practices, and model monitoring.
Ensure compliance with data privacy and financial regulations (e.g., Foster a high-performing data engineering team with strong culture, mentoring, and career paths.
Champion cross-functional collaboration with risk, compliance, product, and analytics teams.
- Location:
- London
- Job Type:
- FullTime