Jobs Companies Goods & Services Technical Project Manager – Data

Über diese Technical Project Manager – Data Stelle bei Goods & Services

Goods & Services · Remote · Mexico-Remote

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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