Data and AI / ML Practice Lead – Pre-sales Solutions Architect

Candidate Description

A seasoned Data and AI leader with two decades of experience, this professional excels at driving cloud-native machine-learning and analytics initiatives for government, banking, healthcare and consulting clients. Holding NV1 security clearance and deep expertise across Azure, AWS and Google Cloud, they combine strategic vision with hands-on engineering to deliver secure, end-to-end AI solutions that span data architecture, MLOps and generative-AI applications. Their work with organisations such as a Technology Provider, a Consulting Firm and a Major Bank demonstrates an ability to lead cross-functional teams and translate complex requirements into actionable, high-impact technology roadmaps.

Their technical acumen is evidenced by successful deployment of Azure Machine Learning models, development of reusable MLOps frameworks and implementation of retrieval-augmented generation solutions leveraging Azure OpenAI GPT-4. Adept at Python, Databricks, Snowflake and Microsoft Fabric, they integrate advanced analytics with robust data-engineering pipelines while applying Agile, SAFe and DevOps practices to accelerate delivery. Key achievements include architecting a multi-cloud fraud-prevention platform for a Financial Institution, scaling a 30-member data-science practice at a Consulting Firm and designing prompt-engineering strategies that shortened LLM prototyping cycles for enterprise clients.

Combining programme-management expertise with technical depth, they inspire and mentor diverse teams, foster stakeholder alignment and ensure governance adherence across security-sensitive environments. Their adaptability spans large-scale regulatory programmes, healthcare research data platforms and cutting-edge generative-AI initiatives. By unifying strategic leadership with a passion for coding, this individual consistently delivers transformative data and AI solutions that enhance operational efficiency, regulatory compliance and innovation for their stakeholders.