Sr. Analyst, Continuous Improvement Engineering

Responsibilities

• Architect AI-first process reengineering strategies and redesign workflows for scalability and intelligence.
• Integrate technologies such as Microsoft Copilot, predictive analytics, and generative AI to enhance decision-making and execution.
• Develop AI agents to improve process and systems flow and drive automation.
• Partner with cross-functional teams to design and pilot systems that identify and deliver high-impact automation opportunities.
• Apply and govern AI-first process redesigns across core business processes.
• Champion Lean Six Sigma to reduce waste and optimize end-to-end workflows.
• Lead cross-functional initiatives using SIPOC, DMAIC, and Value Stream Mapping to improve quality and reduce defects.
• Facilitate workshops, root cause analyses, and structured problem-solving sessions.
• Drive improvements across software and hardware lifecycles to deliver product roadmaps.
• Create structured plans to assess, pilot, and scale innovative design and process solutions.
• Create As-Is and To-Be process flows using tools such as Miro and Visio.
• Leverage Agile and DevOps to drive iterative improvements and Sprint development.
• Evaluate processes using interviews, workshops, Kaizen Events, process maps, and related tools.
• Identify and communicate risks and issues impacting requirements and specifications.
• Create training materials, SOPs, process maps, and design standards.
• Define processes for technical platforms, specifications, and compatibility parameters.
• Recognize structural issues and cross-silo redundancies to improve alignment.
• Meet with leaders to scope opportunities, outline value and ROI, and identify risks and constraints.
• Develop and deliver Lean Six Sigma training programs to foster continuous improvement.
• Mentor teams through structured learning, coaching, and experiential learning.
• Promote PDCA and agile experimentation for iterative improvement.
• Combine Lean Six Sigma and change management frameworks to prepare for and measure future state.
• Define and operationalize SLAs and KPIs aligned to strategic goals.
• Conduct post-implementation reviews and success audits.
• Analyze datasets for trends, create reports, forecasts, and recommendations.
• Utilize Power BI or Tableau for data extraction and visualization, including ERP data sources.
• Develop plans for data collection, management, and usage to meet customer needs and SLAs.
• Define shared data elements and relationships across business units.

Requirements

• 5+ years of process improvement or quality experience.
• Lean Six Sigma certified.
• Experience in Agile, DevOps, and Sprint development.
• Familiarity with AI or ML techniques in manufacturing such as predictive maintenance, anomaly detection, and process mining.
• Experience with ITIL or CMMI.
• Project management experience such as PMI or PRINCE2.
• Experience with ADKAR change management frameworks.
• Ability to work in an ambiguous environment and collaborate across functions.
• Strong interpersonal, analytical, and communication skills with the ability to influence without authority.
• Ability to interpret business issues, recommend best practices, and identify innovative solutions.

Education

• Bachelor’s degree in Computer Science, Industrial Engineering, Mechanical Engineering, or a comparable field, or equivalent work experience.