Senior Enterprise Data Architect

We are seeking an experienced Senior Enterprise Data Architect to define and deliver modern, scalable, and governed data architectures across the organization. The ideal candidate will bring more than 20 years of experience across banking and other complex industries, with expertise in data architecture, data warehousing, data lakes, data integration, business intelligence, artificial intelligence, machine learning, data governance, and software development. This role will translate business and analytical requirements into secure, reliable, and high-performing data platforms that strengthen data trust, enable data-driven decision-making, and support AI and advanced analytics at scale.Key Responsibilities· Define and execute enterprise AI, data, analytics, and information management strategies.· Develop long-term roadmaps for data architecture, AI adoption, analytics, data governance, and digital transformation.· Lead the architecture, design, implementation, and management of enterprise data platforms and AI solutions.· Establish scalable architectures for data lakes, data warehouses, data integration platforms, business intelligence environments, machine learning platforms, and enterprise information management systems.· Establish and enhance enterprise-wide data governance frameworks, policies, standards, and operating models.· Improve data quality, availability, security, privacy, lineage, ownership, and usability.· Build organizational capabilities that promote data literacy and responsible use of AI.· Lead the formation, development, and optimization of AI, data, analytics, and architecture teams.· Advise executive leadership on AI strategy, data investments, technology priorities, and transformation initiatives.· Translate business objectives into practical data, analytics, and AI solutions.· Oversee the delivery of large-scale data and AI programs from strategy and planning through implementation and operations.· Promote the adoption of advanced analytics, predictive modeling, machine learning, and intelligent automation.· Collaborate with business, technology, risk, security, compliance, and operations stakeholders.· Define architecture principles, reference models, design standards, and technology governance processes.· Evaluate emerging AI, data, cloud, and analytics technologies and recommend suitable enterprise solutions.· Ensure AI and data initiatives align with regulatory, security, privacy, and ethical requirements.Required Qualifications· Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, Data Science, or a related discipline.· More than 20 years of progressive experience in data architecture, data engineering, technology, AI, analytics, or enterprise architecture.· Extensive experience in enterprise data architecture, data governance, data management, data warehousing, and business intelligence.·  Proven experience leading enterprise-scale transformation programs.·  Strong background in designing and implementing data warehouses, data lakes, data integration solutions, and analytics platforms.·  Experience developing and implementing AI and machine learning strategies.·  Demonstrated experience establishing data governance and data management operating models.· Experience leading multidisciplinary teams and building technology or data-focused organizational units.· Strong understanding of enterprise architecture, software development, systems integration, and information management.· Experience working with senior executives and translating complex technical concepts into business outcomes.· Experience in banking or financial services is strongly preferred, with additional experience in telecommunications, retail, utilities, healthcare, or government considered valuable.Preferred Qualifications· Master’s degree in a relevant technical or business discipline.· Professional certifications in enterprise architecture, data management, cloud technology, AI, analytics, or governance.· Experience with cloud data platforms, modern data architectures, machine learning platforms, and advanced analytics environments.· Knowledge of responsible AI, AI risk management, privacy, cybersecurity, and regulatory compliance.· Experience managing large budgets, strategic programs, external partners, and enterprise technology portfolios.· Experience operating in highly regulated or large-scale enterprise environments.Core Competencies• Enterprise AI and data strategy• Data architecture and information management• Data governance and data quality• Artificial intelligence and machine learning• Data warehousing and data lakes• Business intelligence and advanced analytics• Data integration and platform modernization• Technology and enterprise architecture• Organizational design and capability building• Executive communication and stakeholder management• Strategic planning and roadmap development• Program and portfolio leadership• Innovation and digital transformation• Responsible and ethical AI adoptionKey Performance Indicators·       Progress against the enterprise AI and data strategy roadmap.·       Improvement in data quality, accessibility, governance, and trust.·       Successful delivery of AI, analytics, and data platform initiatives.·       Increased adoption of data-driven decision-making across business functions.·       Improved data literacy and maturity across the organisation.·       Business value generated through analytics, automation, and AI use cases.·       Effectiveness, scalability, and resilience of enterprise data architecture.·       Compliance with data protection, security, privacy, and governance requirements.·       Successful development and retention of high-performing AI and data teams.