updated 17 days ago
Staff Deployment Strategist (AI)
127 000 - 171 450$
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Job description
Text:
TL;DR
Staff Deployment Strategist (AI): Designing and implementing agentic AI solutions and data governance patterns on a configuration-first platform with an accent on solution architecture and value realization. Focus on prototyping low/no-code AI agents and bridging the gap between ambiguous business requirements and enterprise-grade technical outcomes.
Location: Remote within the United States; customer and prospect onsite travel required approximately 15–30%.
Base salary: $127,000–$171,450 per year.
Company
provides an AI-powered data intelligence platform for self-service analytics, cloud transformation, data governance, and enterprise AI innovation.
What you will do
- Lead discovery sessions to identify business challenges, data and governance gaps, and opportunities for AI automation.
- Prototype and configure AI agents and low/no-code solutions, validating hypotheses and demonstrating customer value.
- Architect scalable configuration-first solutions and make configuration-versus-customization decisions.
- Own complex deployments from discovery and design through build, integration, consumption, and value realization.
- Facilitate workshops with Director and Senior Director stakeholders, manage scope and delivery risks, and support executive business reviews.
- Create reusable implementation patterns, accelerators, playbooks, and structured product feedback.
Requirements
- At least 6 years of experience in management consulting or forward-deployed solution roles at data platform companies.
- Hands-on data fluency with SQL; familiarity with Python, APIs, and modern data architectures.
- Experience building and deploying low/no-code solutions from prototype to production.
- Strong communication, problem-solving, stakeholder facilitation, and executive-facing skills.
- Working understanding of AI agent patterns, LLMs, data governance, and metadata management.
- Ability to travel for customer and prospect onsite visits approximately 15–30%.
Nice to have
- Technical undergraduate or graduate education.
- MBA or technical master’s degree.
Culture & Benefits
- Remote work within the United States.
- Opportunity to work on AI-powered data intelligence and enterprise governance deployments.
- Collaboration with senior customer stakeholders and account leadership.
- Equal employment opportunity and reasonable workplace accommodations.
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