You've managed dozens of IT projects — but you're tired of firefighting with spreadsheets and gut instinct. You want to run projects where AI-driven analytics predict risks before they materialize, where your toolchain actually amplifies your judgment instead of slowing you down. If you're a PMP-certified PM who's already integrating GenAI into your daily workflow, this could be the next step in your career.
What you will be doing
- Leading end-to-end IT project delivery using AI-augmented planning, scheduling, and risk management — ensuring every project lands on time, on budget, and on scope.
- Integrating GenAI tools (ChatGPT, Gemini, Claude) and AI-powered PM platforms (JIRA, Smartsheet) into daily workflows to automate reporting, surface predictive insights, and accelerate decision-making.
- Driving continuous process optimization by designing and implementing new AI-enhanced project management methodologies that the broader team adopts.
- Analyzing project data and predictive analytics to proactively identify bottlenecks, forecast delivery risks, and present data-backed recommendations to stakeholders.
- Managing escalations with speed and precision, resolving blockers quickly and building systemic fixes so the same issues don't recur.
What you will NOT be doing
- Babysitting status updates manually — you'll build and leverage automated dashboards and AI-generated reports instead of chasing people for updates.
- Running projects in a vacuum — you won't be a "ticket jockey" with no strategic input; you'll have real ownership of outcomes and process innovation.
- Using outdated tools and waterfall-only methods — we invest in modern tooling and expect you to push the boundaries of how AI can improve delivery.
- Sitting in back-to-back status meetings all day — we protect maker time and expect you to spend meaningful hours on analysis, optimization, and hands-on problem solving.
- Writing 50-page project plans nobody reads — documentation is lean, actionable, and increasingly AI-assisted.
Responsibilities
- Own full project lifecycle (initiation → closure) for multiple concurrent IT projects, ensuring delivery against agreed scope, timeline, budget, and quality KPIs.
- Build and maintain AI-enhanced project plans, schedules, and resource allocations in JIRA and/or Smartsheet.
- Produce weekly predictive risk and status reports using data analytics and AI-generated insights; present findings to leadership and clients.
- Design, pilot, and scale new AI-integrated PM processes that measurably improve efficiency, accuracy, or stakeholder satisfaction.
- Manage project budgets, track burn rates, and forecast costs with data-driven precision.
- Facilitate cross-functional collaboration between engineering, QA, design, and business stakeholders.
- Handle escalations decisively — resolve issues within SLA and implement root-cause fixes.
- Maintain high customer satisfaction scores by proactively communicating progress, risks, and trade-offs.
Requirements
- PMP Certification (active and in good standing).
- 3+ years of project management experience in the IT industry, managing software development, infrastructure, or digital transformation projects.
- Demonstrated proficiency with JIRA and/or Smartsheet for scheduling, resource allocation, tracking, and reporting.
- Hands-on experience using GenAI tools (ChatGPT, Gemini, Claude, or similar) to improve personal or team productivity, with demonstrated integration of these tools into real-world workflows.
- Strong analytical thinking and problem-solving skills — comfortable working with project data, predictive analytics, and translating numbers into decisions.
- Proven ability to manage multiple concurrent projects with competing priorities without dropping quality.
- Excellent written and verbal communication skills — you can present to executives and write a clear Slack message with equal ease.
- Process improvement mindset — track record of identifying inefficiencies and implementing better ways of working.
Nice to Have
- Experience with additional AI/ML platforms or automation tools (e.g., Zapier, Power Automate, Python scripting for data analysis).
- Agile/Scrum certification (CSM, SAFe, or equivalent) in addition to PMP.
- Background in prompt engineering or building custom GPTs/agents for project management use cases.
- Experience managing projects that directly involved AI/ML product development or deployment.
- Familiarity with DevOps practices, CI/CD pipelines, or cloud infrastructure projects (AWS, Azure, GCP).
- Prior experience in a consulting or client-facing delivery environment.
What you will learn
- Cutting-edge AI-augmented project management — you'll develop and refine methodologies that most PMs won't encounter for years, putting you at the forefront of the discipline's evolution.
- Predictive analytics for project delivery — move beyond lagging indicators and learn to build forward-looking models that anticipate risks and resource needs.
- Advanced GenAI prompt engineering and workflow design — deepen your ability to leverage LLMs as a force multiplier across planning, communication, and reporting.
- Process innovation at scale — learn how to design, pilot, and roll out new AI-integrated processes across an organization, building a skillset that's increasingly rare and valuable.
- Cross-domain IT exposure — manage projects spanning software engineering, infrastructure, and digital transformation, broadening your technical fluency.