Job Description
Key Responsibilities
Leadership & Strategy
· Lead and mentor a distributed team of 8 data professionals across London and Sydney
· Develop and execute the company's data strategy in alignment with analytics and actuarial priorities
· Foster collaboration between the reporting and data engineering teams despite geographical separation
· Build a culture of data-driven decision making across the organization
· Partner with actuarial teams to ensure data infrastructure supports complex analytical requirements
Technical Leadership
· Oversee the design, development, and maintenance of data pipelines and infrastructure
· Ensure best practices in database management, data governance, and data quality
· Guide architectural decisions for our Azure-based data platform
· Champion SQL excellence and database optimization across both teams
· Support actuarial and analytics teams with robust, reliable data foundations
Project Management
· Manage multiple concurrent data projects from inception to delivery
· Coordinate resources across time zones to ensure efficient project execution
· Establish and maintain project governance frameworks and delivery methodologies
· Ensure projects are delivered on time, within scope, and to quality standards
· Collaborate with actuarial project leads on data-intensive initiatives
Stakeholder Management
· Partner with business leaders to understand data needs and translate them into technical solutions
· Present data insights and recommendations to senior leadership
· Manage relationships with key stakeholders across the business, including actuarial and analytics teams
· Act as the primary point of contact for all data-related initiatives
· Work closely with the Chief Analytics and Actuarial Officer on strategic data initiatives
Team Development
· Recruit, develop, and retain top data talent
· Conduct regular performance reviews and career development discussions
· Identify skills gaps and implement training programs
· Manage team capacity and workload distribution across locations
Qualifications
Essential Requirements
Technical Skills
· Strong SQL expertise with demonstrable experience in complex query optimization
· Database Administration background with hands-on experience in database design, performance tuning, and maintenance
· Experience with Microsoft Azure Data Factory for ETL/ELT processes
· Proficiency in Power BI development and administration
· Understanding of data warehousing concepts and dimensional modeling
· Familiarity with actuarial data requirements and analytical workflows (advantageous)
Leadership Experience
· Minimum 5 years' experience ideally leading data teams
· Proven track record of managing distributed/remote teams
· Experience managing teams of 5+ people
· Demonstrated ability to lead both technical and strategic initiatives
· Experience working with analytics and/or actuarial teams
Project Management
· Strong project management experience with ability to handle multiple projects simultaneously
· Experience with Agile/Scrum methodologies
· Excellent organizational and prioritization skills
· Track record of delivering complex data projects on time and within budget
Other Requirements
· Bachelor's degree in Computer Science, Information Systems, Mathematics, or related field preferred
· Excellent communication skills with ability to translate technical concepts to non-technical stakeholders
· Experience working in a fast-paced, analytical environment
· Willingness to travel occasionally to Sydney (1-2 times per year)
Desirable Skills
· Master's degree in relevant field
· Professional certifications (Microsoft Azure, Power BI, PMP, etc.)
· Experience with Python or R for data analysis
· Knowledge of machine learning and advanced analytics
· Experience in insurance, financial services, or similar data-intensive industries
· Understanding of actuarial processes and data requirements
· Experience with regulatory reporting and compliance data requirements
What We Offer
· Competitive salary commensurate with experience
· Performance-based bonus
· Comprehensive benefits package
· Flexible working arrangements
· Professional development opportunities
· Opportunity to shape the data strategy of a growing organization
How to Apply
Please submit your CV along with a cover letter outlining your relevant experience and why you're interested in leading our data function.
3 stage interview process:
Interview with Head of Talent Acquisition (competency based)
Interview with current Head of Data
Final stage with Chief Commercial Officer
Ideal start date mid August, if not sooner.