Head of Data

Key Responsibilities

Leadership & Strategy

Lead and mentor a distributed team of 8 data professionals across London and Sydney

Develop and execute the companys 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

Bachelors 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

Masters 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 youre 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.

Remote Work :

No

Employment Type :

Full-time