Our client is seeking a Head of Product Analytics & Experimentation

Responsibilities

What you’ll own

• Own experimentation end to end: configure and scale our existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results.
• Train product managers and operations leads to run sound experiments themselves, and build the playbooks, templates and review rituals that make this routine.
• Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions.
• Introduce data contracts and governance standards with Tech and Data Engineering, so that new events and tables are designed correctly from the start.
• Coach and grow a team of three junior analysts and one senior analyst.

Who you are

• You’ve built and scaled an experimentation culture, and you’re rigorous on test design while pragmatic about when evidence is enough to decide.
• You love teaching, turning PMs and ops leads into confident experimenters and growing analysts through direct, kind coaching.
• You think in systems and care about data models, definitions and governance, because reliable analytics and AI depend on them.
• You drive change through influence and clear reasoning, partnering well across Product, Operations, Tech and Data Engineering.
• You communicate clearly with executives and non-technical stakeholders, and you’re excited to bring an AI-first approach to analytics in a fast-moving, global fintech.

What you’ll need

• 5+ years in analytics or data science, including time at a large data-driven company (e.g. Delivery Hero, Uber, Amazon, Meta, Booking) or a modern data or experimentation platform (e.g. Sigma, Mixpanel, Amplitude, Statsig, Optimizely).
• Hands-on experience building or scaling an experimentation programme, with solid statistics: power analysis, variance reduction, sequential testing, and common pitfalls.
• Strong data modelling: dimensional modelling, SCDs, event schema design, dbt, and SQL at a high level.
• A track record of driving change: introducing new practices into organisations and getting non-technical teams to adopt them.
• Clear communication with executives and with non-technical stakeholders.

Nice to have

• Data science and predictive modelling, including forecasting.
• Experience building an AI-first data stack and taking an AI-first approach to analytical problems.
• Data governance frameworks, marketing analytics and attribution.
• Experience with tools and technologies such as dbt, Airflow, Git, Google Cloud Storage (GCS), BigQuery, or ClickHouse.
• Familiarity with data governance and cataloguing tools such as Atlan, Alation, or OpenMetadata

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

#AlbionarcJobs#FintechJobs

#AsiaJobs#MiddleEastCareers

#TechTalent#FintechRecruitment

#FinanceOpportunities#