Analytics Manager (Analytics Engineering Lead)

About the role

We are looking for an Analytics Manager to lead our analytics engineering function. You will own the release process, connect our data warehouse to AI tools, and build pipelines that keep AI workspaces up‑to‑date with trusted data.

Key responsibilities

• Design and operate a safe release process with branch protection, CI standards, code review and orchestration.
• Configure and maintain guardrails for the enterprise AI platform, including access controls, cost monitoring and security settings.
• Implement change‑management rhythms with data engineering to ensure upstream changes do not break downstream AI tools.
• Define documentation, test‑coverage and PR gates to guarantee data model quality and reliability.
• Build and maintain data ingestion pipelines that keep AI workspaces and institutional knowledge current.
• Develop an in‑house text‑to‑SQL agent in partnership with engineering and domain analysts.
• Put accuracy and validation checks in place before AI outputs go live.
• Elevate automated reporting from proof‑of‑concept to production with freshness checks and error handling.

Required profile

• Strong analytical mindset with a focus on data reliability and platform stability.
• Experience working with data warehouses, AI/ML platforms and production‑grade pipelines.
• Proven ability to collaborate with engineers, analysts and business stakeholders.
• Attention to detail and a commitment to building robust, repeatable processes.

Required skills

• SQL
• CI/CD pipelines
• Data warehousing concepts
• Data pipeline development
• Orchestration tools (e.g., Airflow, Prefect)