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
Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption
Experience identifying opportunities to improve operational efficiency through technology and automation
Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline
Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions
Experience working with AI technologies to accelerate software development and business capability is highly desirable
Experience with Docker, AWS and/or Google Cloud Platform
Advanced SQL (Amazon Redshift, T-SQL) and data modelling
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)
Experience building scalable data products and analytics solutions
Expert Power BI development, including semantic models and Power BI Service administration
Expert Python development for data, analytics and automation
Experience integrating REST APIs and multiple data sources
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
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