Enterprise Architect
- Design, maintain, and evolve enterprise-wide architecture in alignment with business strategy, regulatory requirements, and security standards.
- Define and maintain architectural frameworks, principles, and reference models that guide decision making across the organisation.
- Conduct regular architectural and AI solution reviews to ensure robustness, scalability, and adaptability.
- Lead the evaluation, selection, and implementation of SaaS platforms, cloud solutions, AI tools, and emerging technologies.
- Lead a team that may include Data Architects, Solution/IT Architects, and other specialist roles.
- Contribute to IT budgeting and cost planning.
- Manage relationships with external vendors, service providers, and partners supporting technology and SaaS platforms.
- Oversee systems and tools required to deliver architectural responsibilities.
- Provide best-practice guidance for integrating and optimising SaaS and AI solutions, balancing innovation with risk reduction and cost control.
- Oversee lifecycle management of cloud and SaaS platforms, including vendor assessments, contract oversight, and roadmap development.
- Partner with business leaders and technical teams to understand requirements and translate them into architectural solutions.
- Facilitate workshops, design reviews, and technical forums to encourage alignment and knowledge sharing.
- Act as a trusted advisor to senior stakeholders on technology strategy, AI adoption, and transformation programmes.
- Develop and maintain architectural standards, governance models, and best practices.
- Contribute to policies and procedures related to IT, cloud services, security, and AI ethics.
- Identify and mitigate technology and AI related risks across the portfolio.
- Govern SaaS and AI utilisation, monitoring consumption, licensing, and ethical considerations.
- Perform regular SaaS contract and usage reviews to optimise spend and eliminate waste.
- Work with Finance and Procurement to negotiate contracts and identify opportunities for cost savings.
- Implement centralised controls for SaaS and AI onboarding/offboarding to ensure compliance and security.
- Define and track KPIs for SaaS and AI adoption, delivering insight into cost effectiveness and operational performance.
- Promote automation and analytics to improve visibility of usage, costs, and business value.
- Provide authentic, values driven leadership to technical teams.
- Attract, develop, and mentor talent within architecture and related disciplines.
- Create and sustain a high performing, collaborative, agile team culture.
- Manage performance, behaviours, and capability development
- Foster a strong risk aware culture across the team and wider function.
- Ensure appropriate controls, governance processes, and reporting mechanisms are in place and maintained.
- Monitor technology trends and evaluate their relevance to organisational goals.
- Promote AI enabled and innovative solutions that enhance operational efficiency and competitiveness.
- Lead proofs of concept and pilot projects to validate and assess new technologies.
- Support wider organisational initiatives such as sustainability, diversity, equity & inclusion, and wellbeing programmes.
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