Project Lead

Phoenix Business, Inc.; Austin (TX); Hybrid; USD 90,000 - 135,000; Full time

Job summary

Phoenix Business, Inc. is seeking a Project Lead 3 in Austin, TX for a 12-month role that blends onsite and telework. The position requires 8+ years of experience, independent judgment, and the ability to plan and deliver complex projects.

The role oversees planning, requirements gathering, and status reporting while aligning business, engineering, and AI stakeholders. PMP certification is mandatory and should appear on the resume.

Qualifications

• 8+ years of experience in project leadership and delivery.
• PMP certification required and should be noted on the resume.
• Experience coordinating cross-functional teams and AI/data projects.

Responsibilities

• Plan, coordinate, and monitor project delivery for moderate to complex business solutions.
• Gather requirements, develop specifications, and manage project status reporting.
• Support data engineering initiatives within AI adoption programs and ensure stakeholder alignment.

Skills

Project leadership

Stakeholder communication

Cross-functional coordination

Education

PMP certification

Job description

Role : Project Lead 3
Location: Austin, TX (Hybrid) Onsite and telework
Duration: 12 months

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Responsible for the planning, coordination, requirements gathering, business analysis, specifications development, project planning, project monitoring, and project status reporting and system implementation of moderate to complex business solutions. Project Management Professional (PMP) certification is required and should be noted on the resume. Proof of certification may be requested.

This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables, supporting platform and data engineering initiatives, and ensuring alignment between business, engineering, and AI stakeholders. Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts is highly desirable, along with strong communication and organizational skills.