- Lead a dynamic team, working closely with various business units to translate complex business requirements into actionable data solutions.
- Play a critical role in communicating analytics insights clearly and with impact, enabling data-driven decision-making across the organization.
- Define and own the multi-year technical vision and strategy for Analytics Engineering, ensuring alignment with Paddle's product and business objectives.
- Lead, coach, and develop a team of Senior Analytics Engineers, fostering a high-performing, inclusive, and growth-oriented culture.
- Drive and champion best practices in analytics engineering, data modelling, data governance, and operational excellence across all teams.
- Serve as the senior Engineering representative for Analytics Engineering with cross-functional leaders in Product, Finance, Sales, Marketing, and Data Platform.
- Champion a product mindset for data across the organisation: ensuring Paddle's analytics data estate is treated as a first-class product with clear ownership, defined consumers, and measurable quality standards.
- Lead the definition and governance of shared data definitions and business metrics, working cross-functionally to drive alignment and eliminate ambiguity across teams.
- Own the prioritisation of the Analytics Engineering roadmap, balancing strategic data product initiatives, platform reliability, data quality improvements, and stakeholder requests in a structured and transparent way.
- Oversee the reliability, scalability, and accuracy of Paddle's analytics data estate, including core data pipelines, data models, and transformation layers (Snowflake, DBT, Fivetran).
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