Strategy
•Support delivery of the Data and Digitise Strategy through development of data products, platform capabilities and innovation initiatives.
•Establish and maintain data product, data service and platform roadmaps aligned to Assurance priorities.
•Promote the adoption of reusable, scalable and governed data capabilities supporting FLCT and 2LA.
•Partner with Technology, Architecture, Data and GIA teams to maximise reuse of enterprise capabilities and approved integration patterns.
•Support innovation and adoption of emerging technologies to improve operational effectiveness and analytical enablement.
•Support the evolution of the One Assurance model through standardisation, reuse and alignment of capabilities across FLCT, 2LA and GIA.
Business
•Lead delivery and operation of trusted data products, data services and platform capabilities supporting Assurance activities.
•Provide governed and scalable access to data required for assurance testing, analytics and reporting.
•Drive consistency, efficiency and reuse through standardised data products and integration services.
•Deliver engineering and platform capabilities that support analytical products, automation and future innovation.
•Collaborate with stakeholders to ensure technical capabilities meet current and future business needs.
•Support the development of reliance-ready capabilities and promote the reuse of data, analytics and technology assets across FLCT, 2LA and GIA.
•Deliver scalable and value-add data services that improve efficiency, consistency and reuse across Assurance activities.
Processes
•Establish and maintain standards for data engineering, data quality, platform management and integration services.
•Ensure effective management of data lineage, metadata, quality controls and production processes.
•Oversee engineering, release management and production support processes for data and platform services.
•Drive continuous improvement through automation, simplification and technology-enabled process enhancements.
•Maintain operational resilience and performance of data and platform capabilities.
People & Talent
•Build, develop and retain a high performing engineering and innovation team.
•Drive capability development across data engineering, platform services and emerging technologies.
•Foster a culture of technical excellence, innovation and continuous improvement.
•Lead through example and build the appropriate culture and values across the Data Products, Platforms & Innovation team.
•Develop and implement capability, succession and resource plans aligned to future technology and data demands.
•Foster collaboration across Technology, Data, Assurance and GIA teams to maximise reuse and delivery effectiveness.
Risk Management
•Ensure appropriate controls exist over data products, platforms and integration capabilities.
•Ensure platform services and data assets operate in accordance with Group technology, information security and data governance standards.
•Maintain oversight of risks relating to data quality, access management and operational resilience.
•Support implementation of approved controls relating to AI, automation and emerging technologies.
•Identify, assess and escalate material risks relating to data quality, platform resilience, technology dependencies and innovation initiatives.
Governance
•Provide governance and oversight of data products, platform capabilities and innovation activities.
•Ensure compliance with enterprise architecture, technology and data governance standards.
•Report on delivery performance, operational resilience and service effectiveness.
•Maintain visibility of technical priorities, dependencies and service risks.
•Support governance forums through appropriate management information and reporting.
•Escalate significant risks, dependencies or service issues impacting data products, platforms and innovation initiatives as appropriate.
Regulatory & Business Conduct
•Display exemplary conduct and live by the Group’s Values and Code of Conduct.
•Ensure technology, data and platform capabilities comply with applicable legal, regulatory and policy requirements.
•Promote responsible innovation and ethical use of technology and data.
•Effectively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Key Stakeholders
•Global Head of Assurance Data, Analytics, GRS & Transformation
•Assurance Management Team
•Enterprise Data and Data Governance teams
•Technology, Architecture and Engineering teams
•GRS AI Centre of Excellence
•FLCT and Assurance stakeholders
•GIA Data & Analytics teams
•Enterprise Architecture
•Risk, CFCR and Group Chief Controls Office stakeholders
Other Responsibilities
•Embed “Here for Good” and the Group’s values across the team.
•Support delivery of the Assurance Function of the Future agenda.
•Promote reuse, standardisation and sustainable service delivery.
•Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures.