Remote AI Program Lead — End-to-End ML Delivery

SFE

United States

Remote

USD 140,000 - 190,000

Full time

14 days+
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Job summary

SFE is seeking an AI Technical Project Manager to lead end-to-end AI workstreams in a fully remote, permanent role. You will orchestrate planning, execution, and delivery across AI/ML initiatives, data, architecture, and QA, aligning with business and IT leadership.

You will drive Agile ceremonies, manage budgets and forecasts, monitor KPIs, ensure governance and responsible AI practices, and coordinate cross-functional teams to deliver on time and within scope.

Qualifications

  • Experience delivering AI/ML programs end-to-end.
  • Strong understanding of Agile/Scrum project management.
  • Ability to manage multi-workstream programs at enterprise scale.
  • Proven stakeholder management with business and IT leadership.
  • Experience with budgeting, forecasting and SoW management.
  • Experience with risk, governance and compliance (RAID).
  • Leadership of cross-functional AI/DS/Engineering teams.

Responsibilities

  • Lead end-to-end AI workstream delivery (planning, execution, monitoring).
  • Manage project plans, timelines, dependencies, resources.
  • Drive Agile ceremonies (sprint planning, stand-ups, retrospectives).
  • Act as primary interface between stakeholders and delivery teams.
  • Ensure governance, compliance, and responsible AI adherence.
  • Coordinate across AI engineering, data, architecture, QA teams.
  • Track KPIs (timeline, quality, business outcomes).
  • Manage budgets, forecasts, and vendor coordination.
  • Identify & mitigate risks, issues, dependencies (RAID).
  • Lead cross-functional AI teams and delivery model execution.

Skills

AI/ML delivery
Agile Scrum
Multi-workstream mgmt
Stakeholder mgmt
Financial budgeting
Risk governance
Cross-functional leadership

Job description

SFE is seeking an AI Technical Project Manager to lead end-to-end AI workstreams in a fully remote, permanent role. You will orchestrate planning, execution, and delivery across AI/ML initiatives, data, architecture, and QA, aligning with business and IT leadership.

You will drive Agile ceremonies, manage budgets and forecasts, monitor KPIs, ensure governance and responsible AI practices, and coordinate cross-functional teams to deliver on time and within scope.

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