Director, Business Process Analysis AI

About this role

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things ! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. Honesty - Reliability - Curiosity - Collaboration - Passion

About the role and what you'll be doing: The Director, AI Solutions & Engagement leads discovery and engagement for Finance AI Transformation. While the engineering function builds and releases, this role identifies what to release, sources best practices and expertise, and brings AI into existing corporate-function workflows without friction.

This is a process engineering role at its core. Successful candidates have mapped real business workflows, identified bottlenecks, and re-engineered processes end-to-end. They think in systems, not features. They can sit down with a Finance director or a Procurement analyst, walk through how work actually happens today, and pinpoint the intervention points where AI delivers measurable value—not where it sounds clever.

The role requires high EQ. People across corporate functions may be uncomfortable with AI. The Director is the trusted voice who listens, asks the right questions, and brings the right solution back without making anyone feel replaced. This role is the front door of the function: opportunities you surface feed directly into delivery, and patterns you document become reusable assets across Ensono.

What You Will Do:

• 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.

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

Required Qualifications

• 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.

Preferred Qualifications

• Background in Business Analyst, Project Management, Consulting, Chief of Staff, or similar cross-functional roles that required

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