Data Engineering Director

American Family Insurance•Boston, MA

2d•$150,000 - $255,000•Onsite

About The Position

This position provides oversight and strategic direction for data and data engineering technical environments. The Data Engineering Director collaborates with leadership to design and develop the division’s technology strategy, while maintaining key connections with other corporate entities to support effective decision-making, collaboration, and continuous improvement. The role drives the strategy, architecture, deployment, and future roadmap for enterprise data platforms in alignment with business needs. It directs the division’s technology work portfolio and oversees the design, development, and implementation of data technology solutions. The Director researches data technology trends and best practices, establishes standards for data science tools and information platforms, and contributes to division or department leadership. The position also fosters a collaborative, performance-driven, inclusive work environment; supports team members through goal-setting, feedback, performance assessments, and ongoing development; and communicates and reinforces the organization’s mission, vision, values, policies, and practices. Compensation is $150,000 to $255,000, with variation based on job level and geographic work location. Relocation support is available for eligible candidates. The role requires travel of up to 10% and is primarily office-based, with at least 80% of time spent in the office. Candidates should live within approximately 35–50 miles of Madison, Wisconsin, or Boston, Massachusetts.

Requirements

Demonstrated experience providing customer-driven solutions, support, or service.
Demonstrated effective leadership skills.
Demonstrated experience interfacing with business clients and driving solution discussions with IT and business stakeholders.
Demonstrated experience managing data at scale using data summarization, query, and analysis software and tools.
Demonstrated experience leading and successfully delivering technical projects.
Demonstrated experience with a wide variety of programming languages and frameworks, including strong skills in developing, articulating, and implementing coding practices.
Extensive knowledge and understanding of technology used in systems or processes for big data and machine learning.
Extensive knowledge and understanding of tools and techniques for extracting, manipulating, and analyzing large, complex datasets.
Extensive knowledge and understanding of statistical modeling, modeling software, and research.
Must be able to work primarily in an office, spending at least 80% of work time there.
Must reside within approximately 35–50 miles of Madison, WI, or Boston, MA.

Responsibilities

Drive the strategy, architecture, deployment, and future development roadmap for enterprise data platforms in support of business needs.
Develop the approach and strategy for continually assessing current and future business systems needs within the context of overall company strategy.
Direct the division’s portfolio of technology work.
Oversee divisional processes for designing, developing, and implementing data technology solutions.
Research current and future data technology trends and best practices, and recommend their direction or applicability to the division and organization.
Establish divisional standards for data science tools and information platforms.
Create a collaborative, performance-driven work environment that fosters trust, transparency, and inclusion.
Set clear goals with team members, provide feedback, conduct performance assessments, and support ongoing development.
Contribute to the division or department leadership team and communicate and support the organization’s mission, vision, values, policies, and practices.