🛠 Tech Stack

💼 About This Role

You'll lead data enablement within the Insight Products team, bridging raw data infrastructure and end-user products. You'll facilitate radical data democratization by delivering high-quality requirements and accelerating delivery through AI-powered analytics agents and custom applications. This role offers a unique blend of leadership and hands-on technical work in a hybrid environment.

🎯 What You'll Do

• Lead and mentor a team of Technical BAs and Analytics Engineers.
• Define and prioritize requirements for the central Data Engineering team.
• Oversee internal data engineering tasks like building pipelines and tables.
• Establish data governance, documentation, and observability processes.

📋 Requirements

• Deep technical expertise in Analytics Engineering (SQL, Python, dbt, Snowflake).
• Proven track record in gathering complex technical requirements.
• Experience managing or supervising data/engineering professionals.
• Track record of fostering a culture of ownership, learning, and innovation.

✨ Nice to Have

• Experience building or deploying AI/LLM agents or conversational interfaces.
• Hands-on experience with data governance tools and catalogues.
• Familiarity with software engineering principles like version control and CI/CD.

🎁 Benefits & Perks

• 🏖️ Hybrid working with 3+ days office attendance required.
• 💰 Competitive bonus target elements (Group only)
• 🏢 London office in a central location

🚩 Heads Up

• Hybrid role with 3+ days office attendance may limit remote flexibility.
• Title mismatch: 'Insights Product Manager' but job focuses heavily on analytics engineering.