Insights Tech Lead, Reward

• Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline
• Proven experience developing enterprise analytical solutions, automation and reusable technical products
• Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption
• Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions
• Experience identifying opportunities to improve operational efficiency through technology and automation
• Experience working with AI technologies to accelerate software development and business capability is highly desirable
• Expert Python development for data, analytics and automation
• Advanced SQL (Amazon Redshift, T-SQL) and data modelling
• Expert Power BI development, including semantic models and Power BI Service administration
• Experience building scalable data products and analytics solutions
• Strong software engineering practices (OOP, testing, Git, documentation)
• Experience with Docker, AWS and/or Google Cloud Platform
• Experience integrating REST APIs and multiple data sources
• Understanding of modern analytics engineering and scalable solution architecture
• Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock)
• Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments
• Excellent problem-solving, communication and stakeholder management skills
• Experience working within agile product or engineering teams
• Naturally curious with a passion for emerging technology and innovation
• Pragmatic, delivery-focused and comfortable working with ambiguity
• Commercially minded with a focus on solving real business problems
• Collaborative and approachable, with a desire to enable others through technology
• Passionate about continuous improvement, automation and building scalable solutions

Desirable

• Working within the Insight Solutions group, the Insights Tech Lead is a hands-on technical leader responsible for identifying, designing and delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability
• Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve real business problems
• Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams
• The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical processes and enable Reward to deliver best-in-class client insight at scale
• Identify opportunities to improve Reward's analytical capability through automation, configurable solutions and innovative technical products
• Design, build and validate proof-of-concept applications and data products that solve business and commercial challenges
• Rapidly prototype new analytical capabilities using modern engineering techniques, cloud technologies and AI tooling
• Work closely with Insight Solutions to embed successful solutions into analyst workflows and maximize business benefits
• Partners with Engineering and Data Product teams to transition successful proof-of-concepts into scalable production solutions
• Champion the adoption of AI, automation and modern engineering practices across the Insight function
• Reduce manual effort by developing reusable frameworks, configurable analytical products and scalable automation
• Translate business requirements into robust technical solutions that improve the quality, consistency and speed of insight delivery
• Ensure all technical solutions meet high standards of accuracy, maintainability, usability and performance
• Evaluate emerging technologies and identify opportunities to enhance Reward's analytical capability and internal tooling
• Promote engineering best practice, technical documentation and knowledge sharing across teams
• Act as the technical authority within Insight Solutions, providing guidance on solution architecture, AI adoption and engineering approaches while collaborating closely with Engineering and Data Product teams