Practice Lead - Business Intelligence
Indexed description
The opportunity
We’re looking for a Practice Lead, Business Intelligence to build and lead Smartly’s BI and analytics engineering practice.
This is a senior player–coach role for someone who combines deep technical expertise with strong leadership and product thinking. You’ll be responsible for setting the standards, architecture, and operating model for how metrics, reporting, and self‑service analytics work at Smartly, while remaining hands-on and delivering meaningful individual contribution.
Your work will sit at the heart of how Smartly makes decisions: improving trust in metrics, enabling faster and better product and commercial decisions, and creating a reliable, scalable self‑service analytics experience used confidently across the organisation.
You’ll partner closely with the Data Engineering and Data Science Practice Leads to ensure governance, quality, and delivery practices are aligned, operating as distinct crafts, but one data team.
What You’ll Be Doing
Practice & People Leadership
- Build, lead, coach, and mentor a high-performing BI and analytics engineering team.
- Set clear standards for quality, ways of working, and career development within the BI practice.
- Lead recruitment, onboarding, and capability development as the practice grows.
- Run practice rituals such as technical reviews, semantic and metric reviews, and learning sessions.
- Own the end-to-end health of Smartly’s BI assets: semantic models, curated datasets, dashboards, and critical reporting.
- Lead the evolution of Smartly’s self-service analytics environment, balancing accessibility with governance and reliability.
- Own and continuously improve the BI platform experience (including tooling, governance, permissioning, performance, and adoption).
- Define and enforce conventions for metrics, dimensions, naming, and modelling so analytics remains consistent as Smartly scales.
- Set modern analytics engineering expectations and bring them to life through hands-on leadership (version control, testing, CI/CD, and safe release practices).
- Champion metric clarity and shared definitions so teams speak a common language of performance.
- Raise the bar for how insights are communicated — clear, actionable, and tied to real operational and commercial outcomes.
- Partner across Product, Engineering, Commercial, and Leadership teams to enable confident, data-informed decision-making.
- Coach stakeholders to use self-service analytics responsibly and effectively.
- Establish and maintain governance for BI assets, including ownership, risk tiering, and lifecycle management.
- Embed strong security and reliability practices for business-critical metrics and dashboards.
- Ensure production BI assets meet clear standards for monitoring, change management, and operational readiness.
- 5+ years’ experience in business intelligence, analytics engineering, or advanced analytics roles.
- Proven experience building and operating a scalable semantic layer with trusted metric definitions.
- Strong SQL skills and experience with Python in analytics or data environments.
- Experience using modern analytics engineering practices: source control, code review, testing, and CI/CD.
- Hands-on experience with cloud data platforms and warehouses (Azure preferred).
- Experience administering and governing a BI platform (Metabase or similar).
- Experience leading, mentoring, or managing BI or analytics practitioners.
- Strong stakeholder management skills, able to translate complexity into clarity and influence decisions at senior levels.
- Pragmatic, outcome-oriented mindset with high standards for quality and reliability.
- Comfortable operating in fast-moving, ambiguous environments where priorities evolve.
Requirements
Benefits
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