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Technical Project Manager – Data

Goods & Services · Remote, Mexico

Other EngineeringManager LevelRemoteExternal listingfull-timeabout 11 hours ago

About The Role

About Goods & Services

Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Technical Project Manager – Data to bridge the gap between Data Engineering, Finance, and Accounting teams. Acting as a strategic driver of data delivery, this role ensures complex data architecture initiatives align seamlessly with business goals across cross-border teams.

What you’ll do

  • Direct data delivery initiatives, acting as the primary project lead connecting Data, Finance, and Accounting stakeholders.
  • Utilize a strong background in data architecture (Data Lakes, ETL/ELT pipelines, transformation frameworks, reporting systems) to translate complex financial/accounting requirements into execution plans.
  • Own end-to-end project tracking, sprint planning, cross-track dependency mapping, and milestone execution while maintaining alignment between engineering backlogs and finance transformation priorities.
  • Drive seamless cross-border coordination from Mexico, leveraging fluent English and Spanish communication skills to clear operational blockers and deliver executive-level status reporting.

What you’ll need

  • 5+ years of Technical Project Management / TPM experience in data engineering environments.
  • Hands-on familiarity with data pipeline concepts (ETL/ELT, Data Warehousing, SQL, Cloud Data Architecture).
  • Proven experience managing Agile workflows (Scrum/Kanban) in Jira or similar tools.

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