Senior Manager, Data Engineering

About the position

This position provides decision-quality data and technical expertise to divisional leadership. Responsibilities include overseeing the design and development of business data solutions to provide leadership with relevant, timely, and accurate data insights.

Responsibilities

• Develop and deliver a comprehensive business data strategy that enables optimized business solutions through comprehensive and robust datasets.
• Identifies new technology platforms required to meet business needs or strategies, partnering with stakeholders.
• Leads a team in the execution of the strategic data goals of the division and maintain and optimize divisional business data environments.
• Designs, builds, and maintains the business data platform, applications, databases, data pipelines, and tools for a business facing function.
• Identifies new technology platforms required to meet business needs, collaborates with divisional leaders to design and drive business data strategy.
• Provides guidance and technical leadership to staff on evolving data tools and technologies.
• Creates a collaborative, performance-driven work environment by facilitating and fostering trust, transparency, and inclusion. Works with team members to set clear goals, provide feedback, perform performance assessments, and support on-going development.
• Leads with influence and expertise. Actively contributes to division or department leadership team. Communicates and supports organization mission, vision, values, policies, and practices.
• Develop Technical Talent
• Generate innovative ideas and leverage capabilities on a multi-cloud platform with the ability to execute proof of concepts effectively.

Requirements

• Demonstrated experience providing customer-driven solutions, support or service.
• Demonstrated experience working with cloud computing platforms (e.g. AWS, GCP, Azure), and with networking and cloud security concepts.
• Strong written and verbal communication skills.
• Extensive knowledge and understanding of creating information and data strategies.
• Demonstrated experience working with insurance industry data and data systems in a business setting.
• Demonstrated experience planning, managing, and executing large complex data management initiatives.
• Demonstrated effective leadership skills.
• Advanced proficiency with data modeling and ETL from relational/non-relational databases.
• Advanced proficiency with relevant object oriented programming languages.
• Demonstrated experience with distributed data processing.
• Demonstrated experience with ingestion and transformation for structure and unstructured data in batch or real time.
• Demonstrated experience Infrastructure as Code (e.g. Docker, CloudFormation, Terraform, etc.).
• Solid understanding of software engineering tools and workflows (i.e. Jenkins, CI/CD, git).

Benefits

• Comprehensive medical, dental, vision and wellbeing benefits.
• Competitive 401(k) contribution.
• Pension plan.
• Annual incentive.
• 9 paid holidays.
• Paid time off program (23 days accrued annually for full-time employees).
• Student loan repayment program.
• Paid-family leave.