AI Data Project Manager
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- Probably Worldwide
- Work type
- Remote
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Job Description
This is a remote position.
About the Role
We are seeking a strategic and execution-focused AI Data Project Manager to lead cross-functional AI and data initiatives from concept to deployment. This role sits at the intersection of data engineering, AI/ML development, and business strategy.
You will be responsible for aligning stakeholders, managing timelines and resources, mitigating risks, and ensuring high-quality delivery of AI-driven solutions that create measurable business impact.
If you thrive in fast-moving environments, understand the nuances of AI/data workflows, and can translate technical complexity into clear execution plans — we want to talk to you.
Requirements
Key Responsibilities
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Lead end-to-end delivery of AI and data projects (ML models, data pipelines, automation initiatives, analytics platforms, etc.)
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Define project scope, objectives, deliverables, timelines, and success metrics
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Coordinate cross-functional teams including data engineers, data scientists, software developers, and business stakeholders
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Translate business requirements into technical execution plans
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Manage sprint planning, backlog prioritization, and roadmap alignment
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Identify and mitigate risks related to data quality, model performance, compliance, and deployment
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Ensure proper documentation, governance, and compliance with data privacy regulations
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Track KPIs and report project status to leadership
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Facilitate stakeholder communication and executive updates
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Drive continuous improvement in AI project delivery processes
Required Qualifications
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3–7+ years of project management experience, with at least 2 years in AI, data, or analytics projects
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Strong understanding of AI/ML development lifecycle (data collection, modeling, validation, deployment, monitoring)
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Experience working with data teams (SQL, data pipelines, APIs, cloud environments)
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Familiarity with Agile/Scrum methodologies
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Experience with tools such as Jira, Asana, Monday, ClickUp, or similar
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Strong analytical and problem-solving skills
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Excellent communication skills — able to bridge technical and non-technical audiences
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Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or related field (or equivalent experience)
Preferred Qualifications
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Experience managing LLM, generative AI, or automation initiatives
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Familiarity with cloud platforms (AWS, Azure, GCP)
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Understanding of data governance, privacy, and compliance frameworks
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PMP, Scrum Master, or similar certification
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Experience in a fast-growing startup or digital agency environment
What Success Looks Like
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AI projects delivered on time and within scope
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Clear alignment between technical teams and business stakeholders
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Measurable ROI from AI implementations
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Strong documentation and repeatable delivery frameworks
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Reduced bottlenecks across data and engineering teams
Benefits
Why Join Us?
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Work on high-impact AI initiatives
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Collaborative, forward-thinking team
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Opportunity to shape AI strategy and execution
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Competitive compensation and benefits
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Remote flexibility and growth opportunities