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AI Implementation Specialist Operations Department

Posted 5 months ago
5-10 years experience
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AI Summary

The role focuses on translating AI concepts into practical operational workflows to improve quality, speed, and productivity. Responsibilities include mapping processes, implementing AI-supported solutions, and collaborating with cross-functional teams to drive adoption.

Invera Talent Inc · United States


Role Overview

We are seeking an AI Implementation Specialist for the Operations department. This role is designed for a hands-on practitioner who can translate AI concepts into real departmental workflows.

The successful candidate will partner with operations leaders, process owners, frontline managers, analysts, quality teams, workforce planners, IT, and business unit leaders to identify high-value use cases, redesign processes, implement AI-supported ways of working, and drive adoption across the department.

This is a practical transformation role focused on delivering measurable improvements across process mapping, workforce planning, scheduling, operational reporting, quality monitoring, and related operating routines.


Mission of the Role

The mission is to help the Operations department use AI to improve quality, speed, decision support, and employee productivity while maintaining appropriate controls.

The specialist will convert business needs into practical AI workflows, support tool configuration and adoption, and help teams determine where AI should assist, where human judgment is required, and how performance should be measured.


Core Responsibilities

Map Operations workflows and identify where AI can reduce manual effort, improve consistency, accelerate analysis, or strengthen decision support.

Translate business problems into AI use cases, workflow designs, adoption plans, governance requirements, and measurable success criteria.

Implement AI-supported solutions across process mapping, workforce planning, scheduling, performance reporting, quality monitoring, root-cause analysis, and continuous improvement.

Conduct discovery interviews, process reviews, data-readiness assessments, and stakeholder workshops.

Configure or support the deployment of AI assistants, automation workflows, dashboards, knowledge tools, prompt libraries, and review checkpoints.

Collaborate with IT, data, security, legal, and compliance stakeholders to ensure AI use is safe, scalable, and aligned with enterprise policies.

Create implementation documentation, workflow instructions, user guides, and adoption materials.

Monitor progress using business metrics, user adoption indicators, quality checks, and post-implementation reviews.


Required Experience and Capabilities

Experience in Operations transformation, digital operations, process improvement, AI implementation, consulting, or enterprise technology adoption.

Strong understanding of process mapping, workforce planning, scheduling, operational reporting, quality monitoring, and process improvement.

Ability to convert business needs into structured workflows and implementation plans.

Familiarity with ERP systems, workflow platforms, workforce management tools, BI platforms, automation tools, process mining software, and enterprise AI systems.

Working knowledge of generative AI, automation, analytics, knowledge management, prompt design, and human-in-the-loop review models.

Understanding of operational risks, data quality, process exceptions, quality constraints, and accountability requirements in operational environments.

Strong stakeholder communication and facilitation skills.

Ability to work independently in a global, remote-first environment.


How to Apply

Please submit a CV or professional profile along with a brief note describing relevant AI implementation or AI training experience, department-specific expertise, and examples of business impact.

Portfolio materials, workshop examples, playbooks, prompt libraries, process maps, or case studies may be included where appropriate.

The selection process will focus on practical capability, communication quality, business judgment, and the ability to make AI effective in real departmental workflows.

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