We are currently recruiting for a Principal Engineer who will sit within the Data & AI Technology Hub and leads the design and build of enterprise measurement, experimentation, and causal inference solutions deployed across  business domains. Working in a hub-and-spoke model, the role partners with domain teams including Retail Media, Performance Marketing, Promo Effectiveness, and other commercial, digital, and operational functions to improve how  designs experiments, quantifies incremental impact, and makes investment decisions.

Key responsibilities will include:

• Define the frameworks, standards, and roadmap to establish Coles measurement capability, and work with teams in Data & AI to apply the measurement capability and reduce fragmentation in how teams design, run, and interpret experiments.
• Provide enterprise thought leadership on design, methodology, and decision quality.
• Research, evaluate, and champion adoption of modern measurement methodologies including Bayesian inference, causal modelling (DAGs, difference-in-differences, synthetic controls), advanced A/B test design, uplift modelling, and multi-touch attribution frameworks. Success in this area is defined by reusable experimentation and measurement frameworks being adopted across multiple business domains, and a measurable reduction in fragmentation in how teams design, run, and interpret experiments.
• Define and own measurement and experimentation standards and capabilities across Data & AI, including test design, power analysis, metric definition, and validation frameworks, driving improved rigor and consistency in how Coles designs experiments. Champion measurement excellence by setting the bar for analytical rigour, influencing architecture decisions for experimentation platforms, uplifting quantitative capability and participating in experiment and measurement design reviews.
• Provide deep technical knowledge and hands-on leadership across engineering squads, guiding the design of experiments, attribution models, and business case measurement approaches. Act as the go-to expert brought into projects to advise on measurement methodology, audience/cohort definition, control group design, and causal inference strategy, enabling faster, more credible ROI assessment for interventions and campaigns
• Influence and mentor data scientists, analysts, and engineers across multiple squads in measurement methodology, raising the organisation’s quantitative literacy and analytical maturity
• Build and maintain strong, trusted relationships with business partners, domain leadership, and cross-domain product teams. Be recognised as the person who makes complex measurement accessible and actionable for non-technical audiences.
• Partner with marketing, commercial, and product leadership to embed rigorous measurement into campaign evaluation, use case design, and business case validation. Ensure consistent measurement methodology across Data & AI while delivering compliant, transparent, and trustworthy analytical outcomes.

About you and your skills

• Experience working effectively in a dynamic, high-pressure environment
• Experience operating as a senior measurement specialist in a fast-paced, complex environment, balancing deep-focus project work with, research and ad-hoc advisory across multiple teams
• Experience collaborating with cross-functional teams (e.g. marketing, product, commercial, finance) to design and deliver measurement solutions that directly inform investment decisions and strategic priorities.
• Proven ability to bring together diverse stakeholders (marketing, commercial, product, engineering) and align them on measurement approach, success criteria, and interpretation of results, including experience coaching analysts, data scientists, and business partners to think critically about measurement, ask the right questions, and interpret quantitative evidence correctly
• Demonstrated ownership of end-to-end measurement delivery: from problem framing and experiment design through execution, analysis, and presentation of findings to senior leadership.
• Track record of delivering production grade analytical systems, through individual framework development to full solution design and implementation
• Proven experience designing and scaling advanced measurement systems: A/B and multivariate testing platforms, causal inference pipelines, attribution models, and business case validation frameworks that balance statistical rigour with practical delivery timelines
• Expertise with modern data science and engineering toolsets including CI/CD (through DevOps/MLOps/DataOps), experimentation platforms, automated testing, and infrastructure-as-code.
• Demonstrated experience of influencing solution design to enable robust and reliable insight generation, evaluation and experimentation.

• Are you interested in this position?

   

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