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Advanced Specialist, Project Management

Job not on LinkedIn

đź•’ Yesterday

🤠 Texas – Remote

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đź’µ $110k - $130k / year

⏰ Full Time

🟡 Mid-level

đźź  Senior

👷‍♀️ Project Manager

đź‘» Ghost score 0%

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Logo of Pearson VUE

Pearson VUE

1001 - 5000 employees

Founded 1994

đź’Ľ Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

đź“‹ Description

• Lead cross-functional product-development and business-transformation initiatives from discovery through delivery and transition to operations • Build integrated plans across waterfall, Agile, and hybrid delivery environments • Provide evidence-based reporting for project teams, sponsors, governance forums, Finance, and senior leaders • Support strategic planning, budget development, forecasting, actuals tracking, project coding, capacity planning, and portfolio reviews • Develop and improve tools, reports, and dashboards • Partner with Finance on financial reporting, project and capacity reporting, project coding, visibility, and troubleshooting • Identify process pain points and opportunities to improve cycle time, quality, cost, scalability, and user experience through automation, AI, and modernization • Lead current-state assessment, root-cause analysis, future-state design, piloting, implementation, measurement, and continuous refinement • Standardize, manage, and modernize the process library across development workflows • Identify and prioritize responsible AI and automation opportunities tied to measurable outcomes • Partner with subject-matter experts, data and technology teams, security, privacy, legal, and governance partners to design safe solutions • Prototype, evaluate, and implement AI-enabled workflows, agents, copilots, or automation with quality criteria, human oversight, testing, and evidence-based decisions • Lead change through stakeholder analysis, communications, involvement, training, adoption measures, and reinforcement • Share practices, coach colleagues, and strengthen project, program, business-analysis, process-improvement, and AI-enabled delivery capabilities

🎯 Requirements

• Demonstrated success leading complex projects or programs with accountability for scope, schedule, budget, quality, risk, dependencies, stakeholder alignment, and measurable outcomes • Experience in business analysis, process improvement, operational transformation, or comparable discipline • Practical experience using AI, automation, analytics, or digital tools to improve business work; ability to describe what was built or implemented, how it was evaluated, and the supported business outcome • Strong financial and data literacy, including reconciling information, identifying patterns or anomalies, building clear analyses, and communicating implications • Advanced proficiency with Microsoft 365 • Strong Excel skills required • Experience with Power BI, Power Automate, Copilot, Visio, SharePoint, PjM software, Azure DevOps, LLMs, prototyping tools, or comparable platforms • Excellent written, verbal, facilitation, and executive-communication skills • Ability to manage competing priorities, operate independently, exercise sound judgment, and bring structure to ambiguity • Preferred: experience in assessment, publishing, product development, research operations, or another complex knowledge-work environment • Preferred: experience working across global teams • Preferred: working knowledge of Lean, Six Sigma, design thinking, process engineering, change management, data visualization, or benefits realization • Preferred: PMP, PgMP, Agile, product, data, or AI-related credential, or willingness to pursue relevant development • Preferred: experience supporting responsible AI practices, including privacy, security, intellectual property, human review, quality evaluation, and risk management

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