AI Deployment Consultant
Role details
Job location
Tech stack
Job description
Lead requirements elicitation and workshop sessions with business and technical stakeholders to uncover customer objectives, data challenges, and AI-driven solution needs.
- 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.
Requirements
You're comfortable managing multiple customer engagements simultaneously, including escalations, and you bring the judgment to prioritize and adapt without losing quality. You're also a builder at heart: eager to shape the AIDC practice itself, contributing to playbooks, patterns, and methodologies, not just execute within it., * 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., * 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.
Benefits & conditions
270 Madison Avenue, New York, NY 10016 Hybrid work $130,000 - $145,000 a year, Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Life insurance, Our benefit package showcases our culture of care and empathy with
- Comprehensive medical, dental, vision plans and Employee Assistance Program (EAP)
- Competitive compensation packages
- Company paid life insurance 3x salary
- Company paid short- and long-term disability coverage
- Retirement planning (401K) with 4% company match
- Restricted Stock Units (RSU)
- Flexible Time Off (FTO)
- Up to 26 weeks paid parental leave including a post-partum night nurse
- Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit.
Our Dedication to You:
We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.
Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.