Data Engineering Director

American Family Insurance

. Provide oversight and strategic direction for data and data engineering technical environments .

Posted 10/27/2026full-timeUnited StatesLead💰 $150,000 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering and architecture, with a strong focus on developing and implementing data technology solutions. Proven ability to lead teams, drive strategic initiatives, and foster collaboration across business and IT stakeholders.

Highest-signal resume keywords

Data Engineering OversightTechnical Project ManagementStatistical ModelingData Extraction and AnalysisLeadership Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming LanguagesData SummarizationQuery SoftwareData Analysis ToolsBig Data TechnologiesMachine Learning TechniquesModeling SoftwareData Manipulation TechniquesCoding Practices

Soft Skills

Customer-Driven SolutionsCollaborationPerformance-Driven EnvironmentEffective CommunicationEmployee Development

Industry Keywords

Data Technology TrendsEnterprise Data PlatformsBusiness Systems NeedsTechnology StrategyContinuous Improvement

About the role

Key responsibilities & impact

Provide oversight and strategic direction for data and data engineering technical environments
Collaborate with leadership on the division’s technology strategy
Maintain key linkages to other corporate entities for effective decision-making, collaboration and continuous improvement
Drive the strategy, architecture and deployment of enterprise data platforms and their future-development roadmap
Assess current and future business systems needs within the context of overall company strategy
Direct the division’s portfolio of technology work
Oversee the design, development and implementation of data technology solutions
Research data technology trends and best practices and recommend direction or applicability
Establish divisional standards for data science tools and information platforms
Foster a collaborative, performance-driven, trusting, transparent and inclusive work environment
Set goals, provide feedback, conduct performance assessments and support employee development
Contribute to division or department leadership and communicate the organization’s mission, vision, values, policies and practices

Requirements

What you’ll need

Demonstrated experience providing customer-driven solutions, support or service
Demonstrated effective leadership skills
Demonstrated experience interfacing with business clients and driving solution discussions with both IT and business stakeholders
Demonstrated experience managing data to scale using data summarization, query, and analysis software and tools
Demonstrated experience leading and successfully delivering technical projects
Demonstrated experience in a wide variety of programming languages and frameworks, with strong skills in developing, articulating and implementing coding practices
Extensive knowledge and understanding of technology used in systems and/or processes for big data/machine learning
Extensive knowledge and understanding of tools and techniques for data extraction, manipulation and analysis of large and complex datasets
Extensive knowledge and understanding of statistical modeling, modeling software and research
Must reside within approximately 35–50 miles of Madison, WI or Boston, MA
Ability to work at least 80% of the time from the office (4+ days per week)
Up to 10% travel
Offer contingent on applicable background checks
Offer contingent on signing a non-disclosure agreement
Sponsorship will not be considered unless specified in the posting

Benefits

Comp & perks

Relocation support for eligible candidates
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
New Employee Orientation during the first week