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Leadership:
- Define what great looks like when it comes to generating insights from Currencycloud’s data
- Define practices & ways of working covering Analytics and Data Science so we sustainably deliver value to our customers and the business (e.g. workflows and tooling for a modern Analytics & Data Science function)
- Educate and influence colleagues in the function and across the business about patterns & practices in Analytics and Data Science
- Develop and build a new Analytics & Data Science Community of Practice with power users in other functions
- Represent the Analytics & Data Science function internally and externally in the Fintech market
- Build out and scale our Analytics & Data Science function
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Strategy:
- Develop the Analytics & Data Science strategy for our business
- Communicate and get buy-in for the Analytics & Data Science strategy from across the business, particularly in Technology & Product
- Translate the Analytics & Data Science strategy into robust, executable plans
- Collaborate closely with colleagues to execute the long-term Analytics & Data Science strategy
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Delivery & performance:
- Accountable for the performance of a distributed team of Insight Analysts & Data Scientists
- Use leadership and management skills to improve: 1) delivery of Analytics and Data Science projects; and 2) team engagement and effectiveness - as demonstrated by substantial improvements in relevant KPIs and metrics
- Multiply your impact by recruiting top-notch talent and coaching the Insight Analysts and Data Scientists
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Coaching & mentoring:
- Set and maintain a culture that strengthens our people-first, empowered, high-accountability Analytics & Data Science team
- Create and maintain a competencies framework for Insight Analysts & Data Scientists to help with career development
- Provide first-rate coaching and mentoring to your direct reports so they become the best individual contributors they can be
- Advocate for Analytics & Data Science best practices within the function and across the business
- Teach direct reports, and skip reports, about Analytics & Data Science best practices