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North Carolina State Employees Credit UnionPosted 3 weeks ago

VP Operational Excellence

RemoteUnited States

Full TimeSenior LevelBachelors DegreeLarge

Job Summary

Define and lead the enterprise operational excellence strategy, multi-year roadmap, and financial goals while managing a team of LSS Belts and Process analysts. Own the improvement portfolio by prioritizing initiatives, tracking governance routines, and leveraging data analytics to identify opportunities and inform decision-making. Lead the design of the target operating model, optimize end-to-end business processes and KPIs, and execute change management efforts to ensure stakeholder alignment and successful adoption. Serve as a trusted advisor to executive stakeholders, facilitating strategy alignment and driving accountability for measurable outcomes. Fully remote position requiring up to 10% travel.

Required Qualifications

  • Bachelor's degree
  • Min 7 years direct experience
  • 2 years in supervisory leadership role
  • Certified Lean Six Sigma black belt
  • Strong background in Operational Excellence, Lean Six Sigma or structured problems solving methodologies
  • Experience with formal change management methodology (i.e. Prosci, Kotter, CAP, etc.)
  • Proven track record driving improvement initiatives and influencing senior leadership to measurable outcomes
  • Experience influencing and partnering with executive leadership to shape strategy, align priorities, and drive accountability
  • Proven ability to design and scale operational excellence capabilities
  • Ability to translate data into insights and portfolio development
  • Travel up to 10% of the time
  • Fully Remote

Desired Qualifications

  • Bachelor's degree in Business, Engineering, Analytics, or related field
  • 8 years of experience
  • 3 years in supervisory leadership role
  • Change Management certification
  • Background in strategy and/or consulting
  • Experience with Power BI and creating executive dashboards
  • Experience with Clarity and JIRA for project and portfolio management
  • Experience with AI and Machine Learning

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