AI Delivery Manager
Apply now: AI Delivery Manager, location is Remote (EST hours; Hybrid optional in Union Beach, NJ). The start date is ASAP for this 6-month contract position (potential to extend or convert).
Job Title: AI Delivery Manager
Location-Type: Remote (EST hours; Hybrid optional in Union Beach, NJ)
Start Date Is: ASAP
Duration: 6-month contract (potential to extend/convert)
Compensation Range: $70-80/hr W2
Job Description:
Lead and scale enterprise-wide AI initiatives by translating business needs into structured AI product and delivery outcomes within the AI Center of Excellence.
Day-to-Day Responsibilities:
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Meet with business units to identify AI opportunities and define value-driven solutions.
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Translate business goals into actionable AI product and delivery plans.
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Drive AI enablement through tools, platforms, and scalable solutions.
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Support governance alignment to ensure AI initiatives are secure, compliant, and standardized.
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Empower teams through workshops, training sessions, and self-service resources.
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Manage and prioritize multiple AI initiatives using Jira or similar tools.
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Partner with AI engineers, UX, and cloud teams to deliver solutions end-to-end.
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Mentor and guide a UX researcher (offshore) for product alignment.
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Collaborate with leadership on roadmap, prioritization, and AI strategy.
Requirements:
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Must-Haves:
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Strong product mindset (value-driven vs. task-driven project execution).
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5–10 years of experience in product management, delivery leadership, or group product roles.
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Experience managing multiple products or platforms simultaneously.
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Technical understanding of AI/LLMs and cloud-based environments (not necessarily hands-on coding).
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Experience building or scaling software products from ideation to enterprise deployment.
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Familiarity with Jira or similar project tracking tools.
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Enterprise experience navigating governance, approvals, and cross-functional stakeholders.
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Excellent communication skills; ability to translate technical concepts to non-technical audiences.
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Bachelor's degree required.
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Nice-to-Haves:
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Experience in both enterprise and startup/scrappy environments.
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Exposure to generative AI tools (e.g., Claude, Replit, similar AI-enabled development tools).
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AI product development experience (professional or personal projects).
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Experience leading enablement programs or AI adoption initiatives.
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