Associate Director, AI & Business Transformation (US)

Responsibilities

• Map current-state workflows end-to-end and diagnose root causes of operational friction — handoff failures, governance gaps, tooling mismatches, incentive misalignment.
• Redesign processes for target-state operations: leaner workflows, clearer decision rights, human‑agent collaboration where AI accelerates throughput.
• Design operating models: org structure, roles, governance, cross‑functional interaction models.
• Establish performance baselines before engagements begin; build the measurement framework that tracks improvement over the engagement — not just at the end.
• Identify value gaps in stalled implementations: diagnose where technology deployment has out‑paced business adoption and restore the path to ROI.
• Build reporting cadences that give clients a clear line from initiative to impact.
• Build working AI‑powered prototypes directly: LLM APIs, platform‑native features, no‑code and low‑code environments; you have shipped something functional.
• Use prototypes as the primary tool for stakeholder alignment — a working demo inside the client’s actual process is more effective than a roadmap.
• Evaluate where AI changes a workflow and where it is a distraction; advise clients accordingly without overselling.
• Support rollout of new tools and workflows; ensure adoption is grounded in process design and change management, not just deployment.
• Design enablement materials that make new technology stick.
• Ensure technology implementations connect to the operating model they are designed to support.
• Support complex engagement scoping where client needs are ambiguous or span multiple services.
• Conduct diagnostic assessments: value capture, implementation readiness, adoption strategy.
• Contribute reusable frameworks and tools that improve how the practice qualifies and scopes work.

Qualifications

• 5‑10 years in management consulting or equivalent roles at enterprise technology, SaaS, or professional services.
• Demonstrated experience in at least two of: organizational design, operating‑model transformation, change management, technology enablement, process engineering, or go‑to‑market execution.
• Track record of building structured, evidence‑based arguments for senior stakeholders.
• Experience on organizational assessments, process redesigns, or large‑scale technology rollouts is a strong differentiator.
• Hands‑on experience building AI‑powered workflows, automations, or prototypes — you have shipped something functional, not just designed it.
• Ability to scope and build a working proof of concept within the constraints of a client engagement — fast, focused, and designed to move a skeptical stakeholder.
• Comfort working without a dedicated engineering team; you know when to build it yourself and when to pull in help.
• Working knowledge of the enterprise marketing technology landscape and where adoption typically breaks down organizationally.
• Familiarity with the Adobe ecosystem — AEM, Workfront, GenStudio, Firefly, Adobe Analytics, Marketo — is a strong differentiator.
• Diagnostician first: resist jumping to solutions before you understand exactly what is broken and why.
• Accountable to outcomes, not deliverables — a good deck that does not change anything is a failure.
• Biased toward early proof: you would rather build a working prototype than produce a roadmap that sits in a shared drive.
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Compensation

Compensation range for this role is $110,000 – $160,000 and spans multiple levels. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.