IT Project Manager

H.W. Kaufman Group•Farmington Hills, MI

About The Position

The company is seeking two IT Project Managers to deliver application development and technology projects and products. Reporting to the Project Management Office (PMO), the role turns business priorities into outcomes by creating momentum, securing decisions, resolving obstacles, and ensuring stakeholders meet their commitments. Success is measured by delivery progress and business outcomes, supported by effective planning and communication. The Project Manager partners with a Technical Delivery Manager, who owns engineering execution and technical delivery planning. The Project Manager organizes the work around engineering by aligning business stakeholders and vendors, coordinating decisions and cross-team dependencies, managing resources, and preparing the business for implementation. Together, they maintain a shared view of delivery priorities, risks, tradeoffs, and commitments. The role also uses approved AI tools and automation to streamline project administration and improve PMO processes. The goal is to reduce routine work and devote more capacity to problem-solving, stakeholder engagement, and delivery execution, while applying human review and following company requirements for security, privacy, and responsible AI use.

Requirements

  • Bachelor’s degree in computer science, information technology, business administration, or a related field, or equivalent work experience.
  • At least 7 years of project management experience delivering medium- to high-complexity projects.
  • At least 7 years of experience in information technology and business or industry.
  • Demonstrated success moving complex projects forward by securing decisions, removing obstacles, resolving dependencies, and recovering at-risk delivery.
  • Experience managing software product delivery and partnering effectively with technical or engineering delivery leaders.
  • Ability to lead through influence, challenge assumptions constructively, navigate competing priorities, and hold stakeholders accountable across organizational boundaries.
  • Strong judgment and problem-solving skills, including developing options, explaining tradeoffs, and recommending practical courses of action.
  • Applied understanding of Waterfall and Agile methodologies and the Systems Development Lifecycle (SDLC).
  • Experience facilitating Agile practices, including sprint planning and retrospectives, in partnership with technical delivery leadership.
  • Strong Jira knowledge, including planning, tracking, reporting, and workflow management.
  • Practical experience using AI-enabled tools or automation to improve project delivery or business processes, including validating outputs and assessing measurable benefits.
  • Excellent communication, relationship-building, and presentation skills, with the ability to influence technical and non-technical stakeholders at all management levels.
  • Experience managing project financials, resources, vendors, and cross-functional commitments.

Nice To Haves

  • Experience improving PMO practices or leading AI adoption and workflow automation.
  • Project Management Professional (PMP) certification.
  • Experience with cross-functional Salesforce project management.

Responsibilities

  • Lead medium- to high-complexity technology projects from initiation through implementation and business acceptance, with clear commitments and measurable success criteria.
  • Translate business objectives into actionable delivery plans with defined outcomes, accountable owners, and realistic timelines.
  • Secure decisions by identifying decision-makers, presenting options and tradeoffs, recommending a path forward, and following through.
  • Resolve cross-team dependencies by coordinating teams, challenging unnecessary sequencing, and negotiating commitments.
  • Identify and remove delivery obstacles; escalate issues with options, recommendations, and specific requests for support.
  • Develop recovery options for at-risk delivery with the Technical Delivery Manager and business stakeholders, assessing scope, timing, resource, and cost tradeoffs.
  • Hold stakeholders, vendors, and project participants accountable for commitments and address missed commitments constructively.
  • Own business and vendor coordination, cross-functional dependencies, stakeholder alignment, and organizational readiness.
  • Work with business analysts to clarify requirements and help business customers evaluate solution options, costs, timelines, and readiness needs.
  • Secure agreement on scope, priorities, acceptance criteria, and deliverables from sponsors and key stakeholders.
  • Manage project scope, resources, finances, risks, and issues to support informed decisions and successful delivery.
  • Communicate outcomes achieved, decisions needed, delivery risks, and actions underway.
  • Work with product managers and owners on forward-looking plans and roadmaps that connect technology delivery to business value.
  • Coordinate business readiness and implementation, confirming ownership for adoption, operational handoffs, and measurement of intended benefits.
  • Use approved AI tools and automation to reduce manual effort in status reporting, meeting summaries, action tracking, documentation, and routine coordination.
  • Use time saved to resolve problems, accelerate decisions, remove obstacles, and support delivery teams.
  • Review PMO processes and eliminate unnecessary meetings, reports, approvals, and duplicate data entry while preserving essential governance.
  • Develop scalable, repeatable practices, templates, and workflows that improve delivery effectiveness and simplify team processes.
  • Use AI-assisted analysis to identify potential risks, dependencies, and planning gaps, validating findings with reliable data and accountable stakeholders.
  • Partner with PMO leadership to pilot and scale improvements, measuring administrative effort reduced, decision turnaround time, delivery predictability, and other relevant outcomes.
  • Review AI-generated outputs using human judgment and follow company requirements for information security, privacy, and responsible AI use.
  • Turn retrospectives and lessons learned into implemented improvements and help teams adopt more effective tools and practices.
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