SSC HR Solutions
Tech / AI / Software
ProjectManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Project Manager at SSC HR Solutions. Skills: Project Management, AI/Data-driven projects, Agile methodologies. Manage multiple AI and data science projects across their full lifecycle—from planning and execution to delivery and optimization.. Lead daily stand-ups, sprint planning, and retrospectives using Click Up or Jira to ensure agile delivery and continuous improvement.”
Industry & Context.
What They're Looking For.
Must Have
3-5 years of project management experience in tech, at least 1-2 years managing AI/data science or software engineering teams, experience working with Click Up, Jira, or similar agile project management platforms, Solid understanding of AI/ML lifecycles, data science processes, and software development practices, Proven ability to manage hybrid and remote teams in fast-paced, multi-project environments, Excellent leadership, communication, and stakeholder engagement skills
Nice to Have
PMP, PMI-ACP, or Scrum Master certification, Technical literacy in data engineering, analytics, or software development
What You'll Do.
Manage multiple AI and data science projects across their full lifecycle—from planning and execution to delivery and optimization.
and retrospectives using Click Up or Jira to ensure agile delivery and continuous improvement.
Monitor project timelines
and key deliverables.
Collaborate with tech leads to ensure quality and scalability of AI tools being implemented.
Prepare executive-level project updates
and progress reports.
Continuously optimize team performance
and delivery frameworks.
How You'll Work.
Team & Collaboration
managing cross-functional teams of data scientists, machine learning engineers, and developers; Coordinate workflows across technical and non-technical stakeholders to align business needs with technical capabilities.; Collaborate with tech leads to ensure quality and scalability of AI tools being implemented.; Proven ability to manage hybrid and remote teams in fast-paced, multi-project environments.
Communication Scope
communication; stakeholder engagement; executive-level project updates
Process & Methodology
agile project delivery, agile delivery, continuous improvement, project timelines, budgets, resource allocations, key deliverables, delivery frameworks
Full Job Description
We are seeking a **Project Manager** to lead and coordinate the delivery of multiple AI and data-driven projects. This role involves managing cross-functional teams of data scientists, machine learning engineers, and developers working on parallel AI tool implementations. The ideal candidate has a strong technical background, excels in agile project delivery, and is proficient with modern project management tools such as **Click Up** or **Jira**. **Requirements** * Manage multiple AI and data science projects across their full lifecycle—from planning and execution to delivery and optimization. * Lead daily stand-ups, sprint planning, and retrospectives using **Click Up** or **Jira** to ensure agile delivery and continuous improvement. * Coordinate workflows across technical and non-technical stakeholders to align business needs with technical capabilities. * Monitor project timelines, budgets, resource allocations, and key deliverables. * Collaborate with tech leads to ensure quality and scalability of AI tools being implemented. * Prepare executive-level project updates, risk assessments, and progress reports. * Continuously optimize team performance, process efficiency, and delivery frameworks. * 3-5 years of project management experience in tech, with at least 1-2 years managing AI/data science or software engineering teams. * Strong experience working with **Click Up** , **Jira** , or similar agile project management platforms. * Solid understanding of AI/ML lifecycles, data science processes, and software development practices. * PMP, PMI-ACP, or Scrum Master certification is a plus. * Proven ability to manage hybrid and remote teams in fast-paced, multi-project environments. * Excellent leadership, communication, and stakeholder engagement skills. * Technical literacy in data engineering, analytics, or software development is highly preferred.
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