- Company Name
- Jagex
- Job Title
- Director of Data Products
- Job Description
-
**Job Title**
Director of Data Products
**Role Summary**
Lead the design, engineering, governance, and scale of Jagex’s analytical data platform. Transform raw operational data into trustworthy, documented data products that power analytics, real‑time systems, and AI initiatives across games, subscriptions and commercial models.
**Expectations**
- Strategic data leader with architectural vision and delivery discipline.
- Champion data‑by‑design principles, quality, observability, and governance.
- Build and mentor a high‑performance Data Engineering team.
- Drive AI/ML production and real‑time system initiatives (anticheat, fraud detection).
- Collaborate closely with BI, Data Science and product teams to meet analytics requirements.
- Ensure regulatory compliance, privacy, and security best practices.
**Key Responsibilities**
- Design and evolve a scalable, reliable analytical platform supporting games, subscriptions, and commercial models.
- Convert raw operational data into well‑documented, trusted data products used throughout the business.
- Embed data‑by‑design principles across technology and product teams.
- Evaluate and select technologies, vendors, and cloud/hybrid environments for cost‑effective, scalable solutions.
- Partner with BI and Data Science to provide efficient data for dashboards and ML models.
- Integrate the analytical platform into broader tech transformations (martech, fintech, game tech).
- Lead DataOps initiatives: monitoring, quality metrics, remediation, and process robustness.
- Champion data governance, privacy, security, and regulatory compliance.
- Build AI/ML foundations (feature stores, model repositories, ML‑Ops governance).
- Support productionisation of AI/ML and real‑time anti‑cheat/fraud detection systems.
- Balance transformation delivery with business‑critical operational requirements.
- Mentor and develop engineers and cross‑functional teams, promoting best practices.
**Required Skills**
- Modern data engineering (ETL/ELT, pipelines, real‑time streaming).
- DataOps expertise (monitoring, quality metrics, remediation).
- Experience productionising AI/ML solutions at scale.
- Platform and architecture strategy (cloud or hybrid).
- Governance, security, and compliance leadership.
- Real‑time systems experience (anti‑cheat, fraud detection).
- Support for analytics‑driven business teams.
- Experience in large‑scale digital environments (gaming, fintech, streaming, e‑commerce, adtech).
- Knowledge of gaming telemetry and player engagement beneficial.
- Strong leadership, mentoring, and cross‑functional collaboration.
**Required Education & Certifications**
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Informatics, or related field.
- Relevant certifications: AWS Certified Big Data – Specialty, Google Cloud Professional Data Engineer, Azure Data Engineer Associate, or equivalent.
- Minimum 10 years of progressive experience in data architecture, engineering, and leadership roles.
Cambridge, United kingdom
Hybrid
Senior
16-02-2026