Direct Reports:
• 6

Key Qualifications:
• A degree or equivalent in a numerate or analytical science, such as Actuarial Science, Mathematics, or Computer Science.
• A remarkable track record, showcasing at least 8 years of hands-on experience in SQL server coding and SQL server database administration.
• Immersed in the life insurance industry, preferably reinsurance, with a proven background in the data management realm.
• A minimum of 3 years in a leadership capacity, with the ability to guide, mentor, and lead a team of exceptional individuals.
• Bonus points for your familiarity with SQL server integration services or similar ETL tools.
• Your journey should have encompassed a symbiotic relationship with Business Intelligence, coupled with experience in handling diverse data sources.
• You possess a deep understanding of architecture and possess the skills to translate conceptual designs into robust physical and logical databases.

Responsibilities on Your Horizon:
• Channel your leadership prowess to guide and empower your team, driving them towards the attainment of key deliverables.
• Elevate data organization and precision through your discerning approach.
• Contribute to the design and development of systems that fortify our business database, ETL processes, and overall business intelligence.
• Exhibit your troubleshooting finesse as you monitor and resolve performance glitches on data servers. Additionally, play a pivotal role in developing business data standards and processes.
• Forge clear lines of communication with both internal and external stakeholders, ensuring a profound grasp of diverse data files and business rules.
• Leverage your understanding of Life systems, bolstered by your business acumen, to provide a holistic perspective.
• Uncover the intricacies of data files through meticulous analysis, providing constructive feedback and insightful recommendations.
• Thrive in the domain of process enhancement as you delve into existing business workflows, suggesting effective improvements.
• Facilitate seamless transitions in response to evolving user requirements, all while prioritizing knowledge transfer and automation.