Head of Data, International

Acrisure is a fintech leader that has evolved from a top 10 global insurance broker into a rapidly growing technology company. Withexpertisein insurance, reinsurance, real estate services, cyberservices, andasset & wealth management, Acrisure uses AI and robotic process automation to transform the insurance value chain. The company delivers innovative solutions through established regional agencies, reaching millions of clients across the US and around the world. Acrisure's tech-forward approach drives value creation and improves outcomes across the financial services ecosystem.

The Head of Data, International will lead the design, implementation, and operation of Acrisure's next-generation data platforms that power the company's analytics capabilities. This role willpartner with the data engineering leadership in North America in building aconsolidateddata foundation. This role willlead adata engineerswithhelpofconsultantsandbuild scalable, resilient data solutions that support Acrisure's business functions and lines of business. The ideal candidate will combine deep technicalexpertisein cloud data lakes (Palantir,Databricks, Snowflake) and cloud platforms (Google Cloud, Azure) with strategic leadership skills to drive the technical vision and implementation of enterprise data solutions. This position plays a crucial role in Acrisure's data-driven transformation efforts.

Key Responsibilities

Strategic Leadership & Vision

• Develop and execute the technical vision and roadmap for Acrisure's data engineering function, especially for all the data outside of North America.

• Partner withAnalytics partners andbusiness stakeholders to understand requirements and translate them into effective data solutions

• Stay current with emerging technologies and industry trends to continually evolve data engineering capabilities

• Serve as a trusted advisor to executive leadership on data engineering matters

Platform Development & Architecture

• Lead the design, implementation, and evolution of enterprise-scale data platforms usingAzure,Palantir,Databricksand other modern data technologies

• Lead development of enterprisesemanticlayer to serve as one stopdata shop for all global consumers,utilizingPalantir Ontology, andorothertechnologies

• Establish architectural standards and best practices for data ingestion, processing, storage, and access

• Ensure data platforms meet enterprise requirements for scalability, reliability, security,complianceand performance

• Lead the implementation of data governance and data quality frameworks within data engineering systems

Team Leadership & Development

• Build, mentor, and lead a high-performing team of data engineersand leaders

• Set clearobjectivesand performance standards for the data engineering function

• Implement agile development methodologies and DevOps practices to accelerate delivery

• Foster a culture of innovation, continuous learning, and technical excellence

• Collaborate with other technology and analytics leaders to ensure cohesive solutions

Operational Excellence

• Establish metrics andmonitoringto ensure reliable data platform operations

• Implement disaster recovery and business continuity solutions for critical data assets

• Create processes for incident management, change management, and capacity planning

• Optimizecloud resourceutilizationto manage costs while meeting performance requirements

Client & Business Focus

• Translate business needs into effective data engineering solutions

• Ensure data engineering initiatives align with and support business objectives

• Partner closely with Analytics teams to understand requirements and design solutions

• Build strong relationships with business functions (Finance, HR, GTM, Customer Success, Product) and business lines (North America - Retail, North America - Specialty, International, Benefits & Pay, Reinsurance)

• Develop dashboard and reporting mechanisms todemonstratevalue and ROI of data engineering investments

Required Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field;Master'sdegree preferred

• 10+ years of experience in progressively responsible data engineering roles

• At least6years of experience in leadership positions building and managing engineering teams of 20+ professionals

• Provenexpertisein cloud data lake technologies such asPalantir(highly preferred),Databricks, Snowflake

• Strong experience with major cloud platforms (Google Cloud, Azure) and their respective data services

• Deep understanding of data modeling, data warehousing, and data pipeline development

• Experience implementing data governance, security, and compliance controls

• Strong understanding of modern software development practices including CI/CD, testing, and version control

• Experience managing data projects in financial services, insurance, or similar regulated industries preferred

• Track recordof successful delivery of large-scale, enterprise data initiatives

• Excellent communication skills, both written and verbal, with the ability to translate complex technical concepts to business audiences

Preferred Skills & Competencies

• Experience with real-time data processing and streaming technologies (Kafka, Spark Streaming, etc.)

• Knowledge of machine learning operations (MLOps) and supporting data science workloads

• Experience with data mesh and/or data fabric architectural approaches

• Proficiencyin multiple programming languages (Python, Scala, Java, etc.)

• Understanding of API development and integration patterns

• Strong project management and program management skills

• Demonstrated client focus and ability to build strong stakeholder relationships

• Expertisein agile methodologies and team leadership

• Ability to influence and drive consensus across organizational boundaries

• Track recordof mentoring and developing engineering talent