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Digital Data Engineering Manager- Adobe Experience Platform

GM Financial United States
Posted 3 months ago, valid for 16 days
Location

Fort Worth, TX 76198, US

Salary

$80,000 - $96,000 per year

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Contract type

Full Time

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Sonic Summary

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  • GM Financial is seeking a Digital Data Engineering Manager to lead a team focused on building and maintaining marketing data infrastructure and tag management platforms.
  • The role involves defining a multi-year strategy for data capture, storage, and access, while overseeing the design and management of data pipelines.
  • Candidates should have strong technical expertise and experience managing modern data engineering teams, with a focus on best practices for data structure and modeling.
  • The position emphasizes the importance of data governance to ensure quality, compliance, and security in data handling.
  • The salary for this position is competitive, and it requires at least 5 years of relevant experience.

Why GM Financial Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

About the role:

The Digital Data Engineering Manager will lead a team responsible for building and maintaining marketing data infrastructure and tag management platforms. This role defines and executes the multi-year strategy for data capture, storage, and access. The manager oversees the design and management of data pipelines for ingestion, transformation, and activation across marketing systems, including real-time customer data processing. They implement and enforce data governance standards to ensure data quality, compliance, and security. The manager establishes and promotes best practices for data structure, modeling, and platform utilization to enable scalability, performance, and effective data activation. This position requires strong technical expertise and experience managing modern data engineering teams. The manager will optimize team structure and resource allocation to maximize productivity and technology utilization, serving as the organization’s primary authority on data engineering best practices.




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