Data & AI Project Manager – Onsite 4 Days (Jersey City)

INSPYR Solutions

Jersey City (NJ)

On-site

USD 96,000 - 113,000

Part time

14 days+
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Job summary

INSPYR Solutions is hiring a Project Manager - Data & AI in Jersey City, NJ, on-site four days a week. The role blends PMO-style project leadership with Scrum Master duties to advance Data, AI, and BI products and services.

Contract-to-hire with compensation $70-$82/hr on-site, requiring US work eligibility. The PM will coordinate complex Agile initiatives, manage stakeholders and vendors, and ensure delivery within scope and budget while applying PDLC, SAFe, and iterative methods.

Qualifications

  • 6+ years of Project Management experience in Financial Services or consulting.
  • Strong stakeholder management and communication skills.
  • Extensive data, AI, and analytics project experience with vendor management.

Responsibilities

  • Stakeholder management: build trust-based relationships to understand business challenges.
  • Prioritization: balance requests and resource capacity across teams.
  • Agile work management: manage incremental deliverables and centralize information.
  • Manage dependencies across programs, projects, and BAU work.
  • Risk management: identify impediments on the critical path and unblock them.
  • Reporting: maintain portfolio visibility and dashboards.

Skills

Stakeholder management
Agile delivery
Communication
Vendor management
Global project experience

Education

PMP Certification
Certified Scrum Master

Tools

Jira
Confluence
MS Project
MS Office
AWS/Azure

Job description

INSPYR Solutions is hiring a Project Manager - Data & AI in Jersey City, NJ, on-site four days a week. The role blends PMO-style project leadership with Scrum Master duties to advance Data, AI, and BI products and services.

Contract-to-hire with compensation $70-$82/hr on-site, requiring US work eligibility. The PM will coordinate complex Agile initiatives, manage stakeholders and vendors, and ensure delivery within scope and budget while applying PDLC, SAFe, and iterative methods.

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