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AI Implementation Specialist - Product and R&D Department
<h3>Invera Talent INC · United States</h3><hr><p><strong>Role Overview</strong></p><p>We are seeking an AI Implementation Specialist for the Product and R&D department. This role is designed for a hands-on practitioner who can move AI from discussion into real departmental workflows.</p><p>The successful candidate will partner with product leaders, product managers, researchers, designers, engineers, innovation teams, data teams, marketing, sales, customer success, and executive sponsors to identify high-value use cases, redesign processes, implement AI-supported ways of working, and drive adoption across the department.</p><p>This is a hands-on transformation role focused on delivering measurable improvements across customer insight analysis, product discovery, prototype support, roadmap prioritization, research workflows, and related operating routines.</p><hr><p><strong>Mission of the Role</strong></p><p>The mission is to help the Product and R&D department use AI to enhance quality, speed, decision support, and employee productivity while maintaining appropriate controls.</p><p>The specialist will translate business needs into practical AI workflows, support tool configuration and adoption, and help teams understand where AI should assist, where human judgment is required, and how performance should be measured.</p><hr><p><strong>Core Responsibilities</strong></p><p>Map Product and R&D workflows and identify where AI can reduce manual effort, improve consistency, accelerate analysis, or strengthen decision support.</p><p>Translate business challenges into AI use cases, workflow designs, adoption plans, governance requirements, and measurable success criteria.</p><p>Implement AI-supported solutions across customer insight analysis, product discovery, prototype support, roadmap prioritization, technical documentation, research knowledge management, and experiment tracking.</p><p>Conduct discovery interviews, process reviews, data-readiness assessments, and stakeholder workshops.</p><p>Configure or support the deployment of AI assistants, automation workflows, dashboards, knowledge tools, prompt libraries, and review checkpoints.</p><p>Collaborate with IT, data, security, legal, and compliance stakeholders to ensure AI use is safe, scalable, and aligned with enterprise policies.</p><p>Create implementation documentation, workflow instructions, user guides, and adoption materials.</p><p>Track progress using business metrics, user adoption indicators, quality checks, and post-implementation reviews.</p><hr><p><strong>Required Experience and Capabilities</strong></p><p>Experience in Product and R&D transformation, digital operations, process improvement, AI implementation, consulting, or enterprise technology adoption.</p><p>Strong understanding of customer insight analysis, product discovery, prototype support, roadmap prioritization, research workflows, and technical documentation.</p><p>Ability to convert business needs into structured workflows and implementation plans.</p><p>Familiarity with product management platforms, analytics tools, research repositories, design tools, collaboration suites, documentation systems, prototyping tools, and enterprise AI assistants.</p><p>Working knowledge of generative AI, automation, analytics, knowledge management, prompt design, and human-in-the-loop review models.</p><p>Understanding of research validation, intellectual property, customer data privacy, technical feasibility, and responsible AI use in product environments.</p><p>Strong stakeholder communication and facilitation skills.</p><p>Ability to work independently in a global remote-first environment.</p><hr><p><strong>How to Apply</strong></p><p>Please submit a CV or professional profile along with a short note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact.</p><p>Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate.</p><p>The selection process will evaluate practical capability, communication quality, business judgment, and the ability to make AI effective in real departmental workflows.</p><div><p></p></div><div><p></p></div><div><p></p></div>