Business Process Engineer

LeanDNAAustin, TX
3dRemote

About The Position

LeanDNA is looking for an experienced Business Process Engineer to work directly with department heads across the organization. This is a hands-on consulting engagement focused on uncovering operational improvements and showing what becomes possible when AI is applied thoughtfully to day-to-day business processes. You won't just be advising from the sidelines — you'll be in the room (or on the call), rolling up your sleeves with each team to map their current workflows, identify friction points, and bring practical AI-enabled solutions to life. Position Type: Project-based contract Commitment: 15 hours/week Duration: 4 months Location: US Remote or Austin, TX

Requirements

  • Proven experience in business process analysis, operations, or a related discipline
  • Experience leveraging AI, automation, and modern workflow tools to redesign and optimize business processes
  • Comfortable translating the value of AI tools for non-technical stakeholders
  • Strong interpersonal skills — you can earn trust quickly and facilitate productive conversations at all levels
  • Naturally curious and systems-minded; you see connections across departments that others miss
  • Self-directed and organized — you manage your time well across a part-time engagement

Nice To Haves

  • Experience in manufacturing, supply chain, or operations-focused software environments is a plus

Responsibilities

  • Meet with department leaders to understand current workflows, bottlenecks, and manual effort in order to build and deliver working AI-powered solutions
  • Automate repetitive data entry in Salesforce, ensuring CRM data stays current and reducing the administrative burden on Sales team
  • Redesign the QBR creation process to automatically pull, structure, and format data — cutting prep time significantly and reduce administrative burden on Customer Success teams
  • Identify and implement AI-assisted improvements in finance workflows, such as automating report generation, flagging anomalies, or streamlining month-end processes
  • Build lightweight, repeatable solutions that teams can own and scale after the engagement ends
  • Create clear documentation for updated processes— what was built, how it works, and how to maintain it
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