Process Management Lead

Bright Vision Technologies•Edison, NJ
•$55 - $60•Remote

About The Position

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The Process Management Lead will help clients realize value from AI by documenting and analyzing how work is currently performed and redesigning processes so AI and automation can produce measurable results. The role is remote. The position involves process discovery and analysis across operations, supply chain, and business functions, followed by future-state process design incorporating AI, agentic workflows, and automation. The lead will work with business and technical stakeholders and partner with AI architects, data engineers, and change management teams to move process designs into production. The role also develops reusable process templates, assessment toolkits, and best-practice libraries. Bright Vision Technologies states that it is committed to equal employment opportunity and an inclusive work environment. The company encourages applications from qualified people regardless of protected status and invites applicants to request accommodations during recruitment. The posting also includes an EEO statement prohibiting discrimination and harassment.

Requirements

  • 15+ years in process improvement, business process management, or operations consulting.
  • Hands-on experience mapping and redesigning processes for digital, automation, or AI initiatives.
  • Strong analytical skills, including process metrics, root-cause analysis, and business case support.
  • Clear communication and facilitation skills with both executives and frontline teams.

Nice To Haves

  • Certification in Lean, Six Sigma, or BPMN; certification is preferred.
  • Familiarity with process mining or modeling tools such as Celonis, Signavio, or Visio.
  • Experience in manufacturing, logistics, or other operations-heavy industries.

Responsibilities

  • Map and document current-state (as-is) processes across operations, supply chain, and business functions.
  • Run process discovery workshops and interviews with business and technical stakeholders.
  • Identify bottlenecks, handoffs, waste, and root causes using process analysis techniques.
  • Design future-state (to-be) processes that incorporate AI, agentic workflows, and automation.
  • Prioritize redesign opportunities with business cases, baselines, and target KPIs.
  • Define process ownership, controls, governance, and operating models.
  • Partner with AI architects, data engineers, and change management teams to move designs into production.
  • Build reusable process templates, assessment toolkits, and best-practice libraries.
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