Technical Project Manager, ML/DSAI Delivery Leader

Cadmus; Pierre (SD); On-site; USD 105,000 - 115,000; Full time

Job summary

Cadmus is seeking a Technical Project Manager to lead cross-team programs spanning ML, DS/AI, data engineering, and analytics. You will drive schedules, remove blockers, and ensure on-time delivery while collaborating with stakeholders and external partners.

The role emphasizes Agile leadership, TPM best practices, and clear communication to balance scope, timeline, and quality in a fast-paced environment.

Qualifications

• 5+ years of experience as a Technical Project Manager or Scrum Master.
• Bachelor’s degree in Information Systems, BI or Analytics or Engineering.
• Strong technical proficiency and experience with ML or DS/AI teams.
• Experience managing large, ambiguous cross-functional programs.
• Experience performing TPM best practices (schedule development, risk management, status reporting).
• Experience reporting program data, preferably in Jira.
• Deep understanding of Agile and SDLC methodologies and process adherence.
• Excellent communication and problem-solving skills.

Responsibilities

• Manage and coordinate across multiple engineering teams delivering ML/DS/AI features and capabilities.
• Oversee end-to-end activities to ensure coordination and on-time delivery; build integrated schedules.
• Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.
• Help Engineering balance scope, timeline, and quality to achieve optimal outcomes.
• Advocate for clear priorities, technical excellence, process adherence, and customer-focused outcomes.
• Influence without authority and drive consensus across stakeholders.

Skills

Technical Project Management

Scrum Master

Agile methodologies

Cross-functional leadership

Communication

Education

Bachelor’s degree in Information Systems, BI or Analytics or Engineering

Tools

Jira

Job description

Cadmus is seeking a Technical Project Manager to lead cross-team programs spanning ML, DS/AI, data engineering, and analytics. You will drive schedules, remove blockers, and ensure on-time delivery while collaborating with stakeholders and external partners.

The role emphasizes Agile leadership, TPM best practices, and clear communication to balance scope, timeline, and quality in a fast-paced environment.