Project Manager II

The Project Manager II - Software & AI Solutions performs all responsibilities outlined in the Project Manager II job description and is additionally responsible for coordinating software.

Focused technology initiatives, enterprise AI platform capabilities, digital transformation efforts, and system integration projects. This role partners closely with Software Engineering, Product Management, Infrastructure, Security, Data Engineering, business stakeholders, and leadership to support the successful planning, execution, and delivery of technology-enabled business solutions. Success in this position depends on effective relationship-building, cross-functional partnership, real-time problem solving, and active
participation in team planning, project reviews, stakeholder meetings, and implementation activities.

Responsibilities:

• Lead the full lifecycle of software development, AI platform, technology
  implementation, and digital transformation projects from initiation through deployment, stabilization and project closure.
• Partner with Software Engineering, Product Management, Infrastructure, Security, Data Engineering, and business stakeholders to define project objectives, requirements, delivery strategies, and success criteria
• Coordinate activities related to software development programs, enterprise AI platform capabilities, system integrations, automation initiatives, and technology implementations.
• Support software delivery methodologies including Agile, Scrum, Kanban, Waterfall, or hybrid project management frameworks.
• Facilitate collaboration between technical and non-technical stakeholders to ensure alignment of business requirements, project priorities, and delivery objectives.
• Drive user acceptance testing, deployment readiness activities, implementation planning, and adoption efforts associated with software solutions.
• Monitor software project timelines, dependencies, risks, resources, and deliverables while communicating progress and implementation risks to stakeholders and leadership.
• Identify opportunities to improve operational efficiency through automation, technology enabled solutions, and process improvements.

Additional Basic Qualifications:

• Experience managing software development, technology implementation, system integration, or digital transformation projects.
• Working knowledge of Software Development Lifesycle (SDLC) methodologies and software delivery practices.
• Experience collaborating with technical teams including Software Engineering, Product Management, Infrastructure, Security, Data Engineering, or similar functions.
• Ability to translate business requirements into project plans and facilitate
  communication between technical and non-technical stakeholders.

Additional Preferred Qualifications:

• Experience supporting enterprise AI platform initiatives, automation programs, or data driven technology solutions.
• Experience supporting Agile software development environments

Travel:

• 15%

#LI-HW1