DataOps Team Lead (Hybrid)

Selective Insurance Company of America•Short Hills, NJ

1d•$130,000 - $176,000•Hybrid

About The Position

Selective Insurance is seeking an energetic and collaborative Data Engineering Team lead to work on data, analytics and DataOps projects supporting the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for specific business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. An ideal candidate will leverage their technical proficiency and leadership competencies to drive the delivery of key objectives.

Requirements

Proven history of owning and taking accountability for leading others to complete complex deliverables.
Excellent communication skills
8+ years of experience in data engineering, analytics engineering, or platform engineering.
Strong experience with cloud data platforms (Azure, AWS, or GCP).
Experience with Databricks, or modern lakehouse architecture.
Proficient with Data pipelines and orchestration (e.g., Airflow, ADF, Dagster, dbt)
Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab, etc.)
Proficient in Data modeling, PySpark and SQL
Proficient in modern data architecture
Experience with DataOps or other automation frameworks.

Nice To Haves

SAFe agile work experience or similar agile process
College degree in Computer Science or Management Information systems
Familiarity with streaming platforms (Event Hubs, Kafka, Kinesis).
Experience supporting machine learning or AI workloads in production.
Property Casualty Insurance experience
Experience working within Azure ecosystem

Responsibilities

Lead a high performing team in the delivery of key components and business deliverables.
Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization.
Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products end‑to‑end.
Establish operational expectations for data products/data contracts, including reliability targets, change management, and consistency of consumption for analytics and AI use cases.
Drive adoption of automation, orchestration, and observability capabilities for data pipelines.
Ensure both on-time successful delivery, and the technical and architectural quality of the solutions.
Collaborate with individuals from all areas of the business and IT organizations to develop accurate business requirements and design architectural solutions.
Resolve and escalate technical and project delivery issues as needed.
Drive process improvements within the team and across the department to improve efficiency and quality.
Work directly with the architecture group to coordinate new design patterns and technology.
Assist in prioritizing new development projects, enhancement projects for existing systems, and system maintenance requests.
Act as a key contributor in planning and estimation of projects
Support development of talent within the organization through coaching and mentoring of team members.
Ensure design, code, and test plan reviews are conducted as appropriate.