Insights Tech Lead

Reward; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Reward is seeking an Insights Tech Lead to drive proof-of-concept analytics products into scalable production solutions. You will lead across Insight Solutions, Analytical Engineering, Data Engineering and Software Engineering, delivering automation, AI tooling and configurable analytical products that improve efficiency and insight quality.

You will prototype rapidly using cloud technologies, mentor teams, champion engineering best practices, and collaborate with Product to embed solutions into

Qualifications

• Experience delivering proof-of-concept applications through validation and adoption.
• Experience improving operational efficiency through automation.
• Experience across Analytics Engineering, Data Engineering, BI or Software Engineering.
• Experience with AI technologies to accelerate development is desirable.
• Experience with Docker, AWS and/or GCP.
• Advanced SQL and data modelling.
• Experience building scalable data products.
• Expert Power BI development.

Responsibilities

• Deliver proof-of-concept applications from ideas through adoption.
• Identify opportunities to improve operational efficiency through technology.
• Prototype analytics capabilities using cloud technologies and AI tooling.
• Embed solutions into analyst workflows and collaborate with Engineering and Product teams.
• Champion AI adoption and modern engineering practices.

Skills

Analytics Engineering

Data Engineering

Software Engineering

AI tooling

Python development

Power BI

SQL

Tools

Docker

AWS

GCP

REST APIs

LLMs

Job description

• 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
• Proven experience developing enterprise analytical solutions, automation and reusable technical products
• 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
• Strong software engineering practices (OOP, testing, Git, documentation)
• Understanding of modern analytics engineering and scalable solution architecture
• Experience working within agile product or engineering teams
• Passionate about continuous improvement, automation and building scalable solutions
• Naturally curious with a passion for emerging technology and innovation
• Collaborative and approachable, with a desire to enable others through technology
• Commercially minded with a focus on solving real business problems
• Pragmatic, delivery-focused and comfortable working with ambiguity
• Experience developing internal developer tools or self-service analytical products
• Experience with CI/CD pipelines
• Experience with modern JavaScript frameworks such as React
• Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability
• Experience mentoring technical colleagues and promoting engineering best practices