Data Operations Manager — AI & Process Excellence

United States Digital Space LLC; United States; Hybrid; USD 90,000 - 140,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Operations Manager to lead cross-functional initiatives from concept to production. You will design, implement, and scale processes that support onboarding and ongoing operations, partnering with Product, Engineering, and ML teams to deliver measurable impact.

The ideal candidates have 2+ years in Data/Technical Operations or Project Management, and experience in an R&D environment, with strong analytical and organizational skills and

Qualifications

• 2+ years of experience in Data Operations, Technical Operations, Project Management, or related fields.
• 2+ years of experience working in an R&D environment.
• Strong analytical, organizational, and problem-solving skills.
• Professional proficiency in English.

Responsibilities

• Design, implement, and scale operational processes that support onboarding, ongoing operations, and future growth.
• Lead end-to-end technical implementation projects across product, engineering, machine learning, and operation teams.
• Drive operational excellence through KPI ownership, process optimization, and continuous improvement.
• Drive the operationalization and rollout of AI and machine learning solutions into production environments.
• Take ownership of complex operational challenges, ensuring successful execution and measurable business impact.

Skills

Data Operations

Technical Operations

Project Management

R&D

Analytical skills

Organizational skills

English proficiency

Job description

United States Digital Space LLC is seeking a Data Operations Manager to lead cross-functional initiatives from concept to production. You will design, implement, and scale processes that support onboarding and ongoing operations, partnering with Product, Engineering, and ML teams to deliver measurable impact.

The ideal candidates have 2+ years in Data/Technical Operations or Project Management, and experience in an R&D environment, with strong analytical and organizational skills and