Integrity is seeking a Director of Enterprise Data Engineering to lead and support the development of large-scale, complex data implementations to drive innovation, scalability, and growth in the insurance industry.
Requirements
- Proficiency in data analytics, machine learning, AI technologies, and relevant programming languages.
- Experienced in Master Data Management (MDM) implementation. Familiar with MDM products such as Reltio.
- Good working knowledge of Microsoft Azure services, including Azure Data Factory (ADF), Logic Apps, and Power BI.
- Experienced in ETL tools such as Talend, Nexla, Stitch, or Mito.
- Knowledge of data orchestration and scheduling tools such as Apache Airflow.
- Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance).
- Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices.
Responsibilities
- Define and lead the organization's enterprise data strategy, aligned with broader digital transformation objectives.
- Identify, prioritize, and champion high-impact data use cases across various business functions (e.g., operations, customer experience, finance, marketing, risk).
- Support all of AI/ML projects data needs, from proof-of-concept to production at scale.
- Implement a strategic data governance framework, working collaboratively across departments to improve data quality, ensure compliance, and enhance accessibility.
- Manage the development and maintenance of robust Snowflake and SQL scripts for data extraction and transformation.
- Ensure high-quality, scalable data integration solutions across platforms and business functions.
- Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks.
Other
- Minimum of 10 years of experience in data management, with at least 5 years in a leadership role, preferably in the insurtech industry.
- Strong leadership and team management skills, with a proven ability to drive cross-functional initiatives.
- Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (Master’s or PhD) preferred.
- Travel requirements not specified
