Data Lead for Performance

CONTRACT TYPE: Fixed-term
Chief Operating Group / Product Group / Engineering & Data / Experimentation
London – Salford (Hybrid- 2 days in the office a week)
Develop an understanding of our product, operations, systems and processes by interacting with product managers, engineering and business teams.
Establish experimentation standards that promote consistency and best practices across the business, and communicate these standards effectively to the broader data team.
Work with the experimentation team to develop methods and tools that increase the rigor and efficiency of our experimentation platform and analyses that are constructed using causal inference techniques.
Work with the Data Platforms team to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution.
Advocate for experimentation depth, rigor, and consistency across the data and business teams, and coach data team members on the principles of effective experimentation and inference
You’ll work at the heart of a highly collaborative, mission-driven organisation, partnering with talented product, design, engineering and data teams to build an experimentation culture that impacts millions of users. If you’re passionate about using data, experimentation, and rigorous thinking to drive meaningful change, this role gives you the influence, autonomy, and scope to make a lasting mark across the entire BBC digital ecosystem.
You will work closely with designers, product managers, data analysts, and engineers to define experiment goals, set up tracking and measurement, and interpret results.
Ensuring high-quality experiments: Overall, your role as an experimentation lead will be critical in helping the product teams drive growth, optimize user experiences, and achieve business objectives through data-driven experimentation.
7+ years experience with statistical analysis and tools like Excel, R, or Python
5+ years experience in designing experiments, including A/B testing and randomized controlled trials, and an understanding of experimental design principles
Ability to formulate hypotheses and test them using statistical methods as well as testing tools
Project management: experience in project management and ability to manage multiple experiments simultaneously
Attention to detail: detail-oriented with a strong focus on accuracy when analyzing data and designing experiments
deeply skilled in experimental design, power analysis, causal methods, and interpreting complex data with rigor.
Fluent in Python/R, SQL, experimentation platforms, analytics tooling, and able to build or optimize experimentation workflows.
proven ability to design and improve frameworks, templates, and automated processes that enable high-quality experimentation at scale.
strong debugging mindset for data pipelines, tracking, measurement, instrumentation, and experiment validity threats.
Data-driven decision leadership. able to translate complex analyses into clear insights, influence technical and non-technical teams, and drive adoption of experimentation best practices.
Experience with large-scale digital media or streaming products, ideally in organisations with broad audience reach, large & complex data sets.
Knowledge of advanced causal inference techniques beyond standard A/B testing (e.g. difference-in-differences, synthetic controls, Bayesian experimentation).
Experience mentoring or training teams on data literacy, experimentation culture, or statistical thinking.
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.
For any general queries, please contact: bbchr@bbc.co.uk
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.