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Lead and develop a high-performing team of analytics engineers, data engineers and AI developers.
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Build a culture focused on innovation, engineering excellence and continuous improvement.
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Coach engineers in modern software engineering, AI-assisted development and best practices.
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Drive technical strategy and delivery across multiple concurrent initiatives.
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Collaborate with Product Managers, Architecture, Security, Finance and Business stakeholders.
Champion the adoption of enterprise AI technologies including:
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Retrieval Augmented Generation (RAG)
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MCP (Model Context Protocol)
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Intelligent workflow automation
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AI-assisted software engineering
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Agent evaluation frameworks
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Human-in-the-loop AI systems
Identify opportunities where AI can automate manual reporting, business processes and operational decision making.
Develop reusable AI capabilities that accelerate engineering productivity and improve customer outcomes.
Lead integrations across enterprise systems including financial, operational and commercial platforms such as:
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Contract management systems
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Third-party SaaS platforms
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Event-driven architectures
Design reliable and scalable ingestion frameworks supporting both batch and real-time processing.
Drive engineering excellence across:
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Champion reusable engineering frameworks and platform standardization.
Financial & Enterprise Reporting
Lead delivery of enterprise reporting supporting Finance and executive stakeholders.
Develop scalable semantic models supporting:
Ensure reporting is trusted, performant and capable of supporting AI-powered natural language querying.
Design enterprise-grade data models including:
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Kimball dimensional modelling
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Slowly Changing Dimensions
Partner with business stakeholders to ensure consistent enterprise definitions.
Drive adoption of modern cloud technologies including:
Develop monitoring and AI-powered observability across enterprise data products.
Use AI to proactively detect anomalies before they impact customers.