AI Deployment Consultant

Job Summary

Treasure AI Treasure AI is the agentic experience platform built to acquire, retain, and grow your most valuable customers. Powered by AI, Treasure AI is shaped by human creativity and always-on through continuous, context-driven action. Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

Responsibilities

• Lead requirements elicitation and workshop sessions with business and technical stakeholders to uncover customer objectives, data challenges, and AI-driven solution needs.
• Analyze and document business processes, user journeys, data flows, and technical requirements, translating business goals into actionable solution designs.
• Partner with Solution Architects and Data Engineers to design and configure Treasure Data-based use cases, including segmentation, audience activation, personalization, AI-powered recommendations, and reporting.
• Design and deploy AI agent and skill-based solutions via Treasure AI Studio, building autonomous workflows that address specific customer business problems.
• Configure no-code/low-code elements of CDP workflows, user interfaces, AI agent pipelines, and data activation tools to meet client needs.
• Execute hands-on testing, validation, and troubleshooting of solution workflows, including AI and agentic components, prior to launch.
• Deliver customer enablement: workshops, training, and guided handoffs for both business end users and technical client teams across CDP and AI capabilities.
• On Foundations engagements, own the late-stage training program and strategic use case roadmap, ensuring customers leave with a clear path to AI-powered activation.
• Manage multiple active customer engagements concurrently, including escalations, with the organizational discipline to deliver quality across all of them.
• Advise clients on best practices related to responsible AI use, data governance, and compliance within the Treasure Data ecosystem.
• Actively contribute to building the AIDC practice - developing playbooks, reusable frameworks, and delivery methodologies that raise the bar for the whole team.
• Own documentation: requirements specs, functional design documents, data mapping sheets, AI workflow diagrams, and end-user guides.

Job Requirements

• 5+ years of experience in functional consulting, business analysis, or solution delivery, preferably in SaaS, martech/adtech, or data-driven environments.
• Proven expertise gathering and interpreting complex requirements from diverse business and technical stakeholders.
• Hands-on experience designing and deploying AI-based solutions — agentic workflows, LLM applications, or intelligent decisioning — in a client-facing context.
• Genuine fluency in CDP or data platform concepts: data flow, segmentation logic, audience activation, and data transformation.
• Ability to break down ambiguous business problems and deliver structured, documentation-driven solutions that fit within broader project architecture.
• Demonstrated ability to manage multiple customer engagements simultaneously, maintaining quality and stakeholder trust across all of them.
• Strong communication and facilitation skills — comfortable leading workshops, delivering training, and translating technical concepts for non-technical audiences.
• Genuine curiosity and passion for AI — someone who follows the space, experiments independently, and brings energy to the AI deployment work, not just openness to it.
• Collaborative and adaptable, with the initiative to help build and shape a growing practice rather than simply follow an established playbook.
• Bachelor's degree or equivalent practical experience.

Preferred Qualifications

• Experience with Treasure AI platform, or equivalent enterprise CDP platforms, including configuration, onboarding, and functional design.
• Background in customer data management, digital marketing execution, or data privacy/compliance (GDPR, CCPA).
• Certifications or demonstrated skills in building, testing, or enabling AI/LLM/chatbot/decision agent solutions.
• Experience working on multi-functional project teams with Solution Architects, Data Engineers, and Engagement Managers.
• Strong consulting background, with experience advising enterprise clients on technology strategy and change management.