Continuous Improvement Engineer, Tech Deployment PMO

• Bachelor’s degree in Industrial and System Engineering or related technical discipline
• 3+ years of relevant work experience working with teams driving continuous improvement standardization, project / program management, and automation
• Intermediate to advanced knowledge of Excel, Minitab, Tableau
• Strong organizational, planning and prioritization skills as well as excellent oral and written communication skills
• The ability to travel 20% a month (post Covid19)

Amazon’s Worldwide Technology Deployment team is working to transform how we delight customers by driving strategic technology innovations in our operations globally. We are a fast paced, innovative engineering team working with our internal automation product teams to deploy software and hardware solutions to enable Amazon’s future growth and scale. A key enabler of our global strategy is a strong Program Management Office (PMO) function.
The PMO implements the mechanisms needed for department leaders to execute projects against relevant KPIs (on-time delivery, budget, efficiency, resource utilization) and automated dashboards to systematically track project progress, risk identification & mitigation, issue management and lessons learned.
As a PMO Continuous Improvement Engineer you understand and apply operations engineering best practices. Your work will impact goals for project delivery and productivity across the entire WW Tech Deployment project portfolio. It will also impact partner teams, shared project schedules, scope and cost for assigned project. In addition, it impacts external entity (e.g., vendor, integrator, etc.) schedules, work quality, and efficiency, including mitigation plans to address critical constraints.
This role will contribute to the PMO team in the implementation and continuous improvement of our global technology deployment model including enhancements to our enterprise project portfolio management (PPM) tool, project management standards, processes, dashboards and documentation that set the blueprint for how technology deployment projects are run. It involves regular communication with key stakeholders and requires you to be detail-oriented, and comfortable partnering with cross-functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition. You must be responsive, flexible, and able to succeed within an open collaborative environment. Amazon’s culture encourages innovation and expects engineers to take a high-level of ownership in solving complex problems.

Responsibilities:

• Monthly analysis of TD productivity by project type and project phase, determining when we have statistically significant data to merit updates to the PPM model.
• Perform root cause analysis of pain points for corrective and preventive action, identify best practices for sharing
• Develop alternative scenarios as input to the enhanced PPM model for forecasting future bottlenecks, recommendations for priorities and resource needs, identify and present actionable data to cross functional teams and senior leadership.
• Validate process metrics by product and building type reflecting productivity improvements achieved by year end, to be used as baseline for annual operational and resource planning
• Perform trend analysis, evaluate performance objectives and metrics across the network to proactively identify opportunities for improved technical solutions and strategy implementation
• Utilize data mining techniques to identify and visualize issues, risks and performance indicators.
• Develop dashboards and reports for senior management, business partners and clients to identify key metrics for vital analytical decision making and present best practices from process re-engineering projects.
• Identify and lead implementation of specific productivity improvement projects, jointly with Tech Deployment teams and cross functional partners
• Internal and external stakeholder management; communications, relationship/rapport building, using influence to affect positive outcomes
• Support preparation of monthly and quarterly dashboards and White Papers
• Master’s degree in Industrial and Systems Engineering, Operations Research, Applied Statistics.
• Developed and implemented lean, DMAIC, and agile methodologies for process improvement and project implementation.
• Developed and implemented data analysis and data collection systems.
• Experience in advanced simulation tools for process design.
• Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
• Exposure to transportation/logistics and/or fulfillment/distribution centers.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.