Description

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.

Qualifications


 

• Required:
  • 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.

• Preferred:
  • 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

Key Skills

Education

Bachelor's degree