Head of Data Engineering & Operations

ace

Coppell (TX)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Health coverage
401(K) with company match and Pension
Tuition assistance
Floating holidays and PTO
Paid parental leave
Wellness programs
Employee discounts

Job summary

Auto Club Enterprises seeks a Data Engineering & Operations Manager to lead a team of engineers, analysts, and administrators supporting data platforms and production pipelines. You will guide change across internal teams and business units, and drive ongoing process and automation improvements.

The role emphasizes people management, technical oversight, and stakeholder communication, with the aim of delivering reliable data services and accelerating analytics initiatives across the organization.

Qualifications

  • Strong leadership and people-management experience.
  • Solid understanding of modern data and analytics platforms.
  • Experience with data engineering practices and quality assurance.

Responsibilities

  • Lead a cross-functional team of systems and DevOps engineers, analysts, and administrators.
  • Develop and implement department vision for processes, tools, platforms.
  • Define and monitor operational KPIs, drive performance improvements, and report results.
  • Mentor staff, plan careers, manage performance evaluations and growth.
  • Present value and progress to business units and senior management.
  • Champion process improvements and automation across data pipelines.

Skills

Leadership
Communication
Data analytics
Data engineering concepts
Project management

Job description

Auto Club Enterprises seeks a Data Engineering & Operations Manager to lead a team of engineers, analysts, and administrators supporting data platforms and production pipelines. You will guide change across internal teams and business units, and drive ongoing process and automation improvements.

The role emphasizes people management, technical oversight, and stakeholder communication, with the aim of delivering reliable data services and accelerating analytics initiatives across the organization.

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