About The Role

Proven experience in AI strategy development and implementation for enterprise clients
Strong understanding of AI technologies, data architecture, and integration viability
Excellent communication and presentation skills, with the ability to engage directly with C-suite stakeholders
Ability to translate complex AI concepts into clear ROI frameworks and guide organizations through AI governance
Experience in a billable, utilization-tracked environment, such as a professional services or consulting firm
Strong business acumen and strategic thinking skills
Familiarity with platforms like Salesforce and Sitetracker
Ability to design architecturally sound, tech-agnostic roadmaps for AI implementation
Lead the initial implementation and delivery of the "AI Strategy Assessment" framework for key enterprise clients, establishing immediate value.
Drive consistent billable utilization, meeting initial revenue targets and contributing significantly to the growth of the professional services pipeline.
Fully establish and scale the greenfield AI advisory practice, becoming a recognized leader in transforming enterprise AI ambitions into tangible business outcomes.
Ship multiple production agents with measurable accuracy and safety outcomes, demonstrating a clear production track record
Navigate the boundaries between managed packages and custom development within an Independent Software Vendor (ISV) context
Shape a strategic roadmap that clearly delineates what aspects of a business to automate and, critically, what not to
Share specific examples of accurately scoping a Statement of Work (SOW) and managing client expectations around billable hours and deliverables
Lead a team through a significant discipline or technology shift, demonstrating adaptability and strategic leadership
Commercial Advisory & Value Scoping
Ecosystem Integration & Mapping
Proactively discover and scope follow-on projects organically during an advisory engagement, driving ongoing revenue streams
Govern complex multi-environment organizations and establish robust administration standards and governance frameworks
Design and implement solutions that successfully integrated with large, complex enterprise technology stacks
Present directly to C-suite or VP-level stakeholders, specifically defending an AI roadmap, governance policy, or risk-mitigation strategy
Detail past experience operating successfully in a billable, utilization-tracked environment, such as a professional services or consulting firm
Speak intelligently to the challenges of pushing and pulling data between modern AI tools and core platforms like Salesforce
Audit client data infrastructure, including pipeline bottlenecks and data hygiene, to determine its readiness for specific AI models
Quantify ROI and skillfully frame both risk and oversight discussions for non-technical C-suite executives
Strategic Enterprise Advisory
AI Architecture & Data Readiness Evaluation
Demonstrate a clear understanding of API limitations, data synchronization complexities, and ecosystem guardrails in enterprise environments
Demonstrate deep technical credibility to assess client data pipelines and judge integration viability without needing to write code
Possess the executive presence to guide organizations through critical AI governance and risk management discussions
Translate complex technical AI concepts into clear financial ROI frameworks or business-value metrics that secured executive buy-in
Build reusable evaluation frameworks, guardrail patterns, or agent templates that have been adopted by others
Fluently explain and justify the selection or rejection of specific LLMs or architectures based on critical business constraints like latency, privacy, and cost
Build effective onboarding programs, upskilling initiatives, knowledge bases, or communities of practice that enhance ecosystem proficiency
The Skills You'll Have:

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AI Consultant

About The Role