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Director, Business Process Analysis – AI
EnsonoDirector of Business Process Analysis leading AI transformation across corporate functions, enhancing workflows through discovery and engagement. Seeking candidates with strong process engineering and workflow re-engineering experience.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in workflow re-engineering and end-to-end systems thinking, translating complex stakeholder needs into actionable solutions while fostering AI literacy across corporate functions. Strong critical thinking and communication skills enable effective collaboration with both technical and non-technical stakeholders.
ATS Keywords
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Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead discovery conversations across corporate functions — Finance, Sales Operations, Procurement, HR, and beyond. Interview stakeholders, listen for friction, surface the workflows where time and money are leaking.
- Map and re-engineer processes end-to-end — current-state to future-state, with the AI intervention points called out. Value stream thinking, not feature thinking. The function's load-bearing claim is that processes get re-engineered, not just augmented — this role makes that claim true.
- Triage opportunities ruthlessly — distinguish AI-suited workflows from manual-better ones, distinguish high-value from low-impact, distinguish scope from noise. Not everything worth doing is worth doing first.
- Brief the engineering function with clean technical requirements — translate what you heard into the right solution form (a Claude skill, an application, a workflow integration, a process change with no software at all). Route opportunities to leadership when scope exceeds the function's capacity.
- Mentor and train license holders — run workshops and 1:1s with the corporate-function users who have Claude access. Raise the floor on AI literacy. Not everyone self-directs; some need a guide.
- Maintain the discovery pipeline as a managed asset — opportunity backlog, status, ROI estimates, hand-off readiness. The pipeline is data, not just notes.
- Partner with Finance on the displaced-spend ledger — translate process improvements into measurable financial outcomes. The function's credibility depends on showing the dollars.
- Be the high-EQ contact point with stakeholders — non-technical people learn to trust this role, so AI gets brought to them on their terms, not on technology's terms.
Requirements
What you’ll need- Bachelor's degree, or equivalent demonstrated experience in lieu of a degree. Background working at or with managed service providers, cloud / IT services firms, or enterprise SaaS / professional services organizations is strongly preferred — track record matters more than credentials.
- Workflow re-engineering experience — you have mapped, analyzed, and redesigned real business workflows end-to-end in a professional context. Consulting, internal transformation, BA work, service delivery design, or operations leadership in a tech / IT services environment.
- End-to-end systems thinking — comfortable holding a full workflow (e.g., Solution-to-Cash, Procure-to-Pay, Hire-to-Retire) in your head, seeing where work hands off between teams, where data flow breaks, where decisions slow down. You think in flows, not steps.
- Strong critical thinking — you challenge assumptions, ask second-order questions, resist surface fixes, and can spot when a stakeholder is solving the wrong problem.
- Strong written and verbal communication — you can talk credibly with both senior executives and individual contributors, and translate what you hear in one room into what gets heard in another.
- Self-directed time management — you manage your own stakeholder backlog, run your own calendar, and prioritize without being told what to work on next.
- High EQ — you earn trust quickly with non-technical stakeholders, can sit in a room with someone resistant to AI and bring them along, and read the unspoken signals in a discovery conversation.
- Demonstrated experience using a generative AI tool (Claude, ChatGPT, Copilot, or equivalent) for real work — beyond casual chat. You can speak credibly to what AI can and can't do, where it accelerates work, and where it fails.
- Bias toward releasing and driving adoption — you find the smallest valuable intervention and get it built, rather than optimizing the discovery cycle forever.
Benefits
Comp & perks- Unlimited Paid Days Off
- Three health plan options through Blue Cross Blue Shield
- 401k with company match
- Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
- Paid Maternity Leave, Paternity Leave, and Sabbatical Leave
- Education Reimbursement, Student Loan Assistance or 529 College Funding
- Enhanced fertility coverage
- Wellness program
- Flexible work schedule
- Depending on location, ability to take advantage of fitness centers