Note: The job is a remote job and is open to candidates in USA. GXO Logistics, Inc. is a leading provider of cutting-edge supply chain solutions. As a Senior Project Manager, you will lead complex global initiatives across the Data Engineering and AI organization, responsible for delivering enterprise programs and ensuring stakeholder alignment.
Responsibilities
- Build strong relationships with business, technology, vendor, and executive stakeholders to align delivery plans with strategic priorities
- Define project scope, objectives, deliverables, success measures, and business outcomes in partnership with key stakeholders
- Lead end-to-end delivery of complex Data Engineering and AI initiatives from planning and execution through governance, monitoring, and operational handoff
- Develop and manage integrated project plans, schedules, budgets, forecasts, resources, dependencies, vendor activities, and key decision milestones
- Partner with business stakeholders to balance requirements, priorities, costs, resources, and delivery trade-offs
- Ensure adherence to project governance, compliance requirements, responsible AI standards, and enterprise technology controls
- Facilitate Agile ceremonies including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives
- Deliver projects within agreed scope, quality, timeline, budget, and stakeholder expectations
- Maintain RAID logs and proactively manage risks, issues, assumptions, dependencies, and mitigation plans
- Manage project change requests, approvals, documentation, meeting minutes, and decision traceability
- Oversee third-party supplier engagements and ensure vendors meet contractual obligations and delivery commitments
- Serve as the primary liaison between business stakeholders and cross-functional delivery teams including AI Platform Engineering, Data Engineering, Architecture, QA, Product Management, Operations, and external vendors
- Prepare executive dashboards, steering committee presentations, project status reports, RAID summaries, and escalation communications
- Translate complex technical concepts into clear business language for executive and non-technical audiences
- Obtain formal stakeholder acceptance of project deliverables and transition completed initiatives into operational support
- Track delivery KPIs including schedule, quality, budget, risk reduction, dependency resolution, adoption, and business value realization
- Lead cross-functional, global matrix teams across multiple regions, time zones, business units, and third-party vendors
Skills
- Bachelor's degree in project management, Business Administration, Information Technology, or a related field
- PMP and Certified ScrumMaster (CSM) certifications required
- Minimum 10 years of project/program management experience
- Minimum 8 years of experience leading AI software, cloud, developer platform, or enterprise software initiatives
- Proven experience delivering large-scale Data Engineering, analytics, cloud, AI enablement, or enterprise platform transformation programs
- Proven experience leading projects with a strong product management focus
- Experience managing global, matrixed teams across multiple geographies, time zones, vendors, and business functions
- Experience managing project budgets, forecasts, schedules, risks, dependencies, and vendor performance
- Experience preparing, presenting, and obtaining approval for project business cases
- Ability to build strong relationships with executive leadership, business stakeholders, and end users
- Ability to manage third-party supplier resources and contractual engagements
- Ability to balance project delivery, product development, risk management, and budget optimization
- Executive-level communication skills with the ability to simplify complex technical and delivery issues into clear decisions, risks, options, and recommendations
- Exceptional leadership, communication, collaboration, and interpersonal skills
- Ability to apply sound judgment while operating with limited direction in a fast-paced environment
- Agile, SAFe, or other program/project management certifications
- Understanding of data lake architecture, data governance, analytics platforms, and data product development principles
- Understanding of AI delivery lifecycle considerations including agentic platforms, responsible AI, governance, adoption, and operational readiness
- Familiarity with agentic workflows, generative AI models, inference platforms, APIs, SDKs, and enterprise AI deployment patterns
- Experience leveraging AI tools to improve project execution, reporting, stakeholder communication, risk management, and delivery productivity
- Experience working within enterprise Data Engineering, Cloud, AI, or digital transformation organizations
- Strong analytical and problem-solving capabilities with the ability to drive organizational change
- Ability to influence cross-functional teams and executive stakeholders across complex organizations
- Self-starter with the ability to quickly establish credibility and make an immediate impact
Benefits
- Competitive compensation
- A generous benefits package, including full health insurance (medical, dental and vision)
- 401(k)
- Life insurance
- Disability
Company Overview
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