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Known employer and popular mid-senior data engineer leadership role create moderate applicant competition.
Core data engineering skills transfer broadly, but insurance/GCC leadership and governance requirements increase specificity.
Requires 7+ years, 3+ years leadership, and mandated Snowflake/AWS/GCP technical skills.
Lead and develop an offshore Data Engineering team supporting enterprise Data and AI initiatives, including performance management and talent development.
Oversee delivery execution, resource allocation, risk management, and integration of offshore resources across data engineering, analytics, data product, and AI portfolios.
Serve as primary liaison between offshore teams and leadership, providing technical oversight, promoting best practices, and supporting AI & data modernization enablement.
Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related discipline.
7+ years experience in data engineering, cloud engineering, analytics engineering, or related technology disciplines.
3+ years leadership experience managing technical teams, preferably in global delivery/offshore model.
Mandatory technical skills include Snowflake, SQL, ETL/ELT, AWS (S3, Lambda, Fargate, EC2), and familiarity with Google Cloud data technologies (BigQuery, Cloud Functions, Vertex AI).
Experienced leader in managing offshore or distributed teams within Data & AI or cloud modernization contexts.
Strong strategic and operational focus on delivery excellence, resource capacity management, and stakeholder engagement across multiple portfolio teams.
Pragmatic technical leader versed in cloud-based data architectures, AI enablement (including generative AI), governance, and continuous improvement initiatives.