AI Implementation Manager / AI Integration Specialist

Poel Group Staffing Inc.; Edison (NJ); On-site; USD 135,000 - 165,000; Full time

Job summary

Poel Group is seeking an AI Implementation Manager / AI Integration Specialist in Edison, NJ. The role leads internal AI transformation by auditing workflows, vetting AI tools, and integrating chosen solutions into the existing software stack.

You will drive change management, training, and measurable cost savings. Required capabilities include 3–5+ years in technical PM or operations transformation, knowledge of AI tools and data flows, and the ability to translate technical capabilities into

Qualifications

• Experience in technical project management or operations transformation.
• Strong understanding of AI tools, LLMs, automation, and data flows.
• Ability to analyze processes, build business cases, and communicate ROI.

Responsibilities

• Audit workflows across departments to identify AI automation opportunities.
• Vet AI tools/vendors and build ROI and cost-savings business cases.
• Oversee integration of AI tools with existing CRM/ERP systems.
• Create training materials to drive adoption and change management.
• Define KPIs to monitor impact and ensure regulatory and ethical compliance.

Job description

AI Implementation Manager / AI Integration Specialist

Position Type: Full-Time Reports To: Chief Operating Officer (COO) or Director of Technology Department: Operations / Business Transformation

Position Purpose

We are seeking a forward-thinking, outcomes-driven AI Implementation Manager / AI Integration Specialist to lead our company’s internal AI transformation. In this role, you will not be building AI algorithms from scratch; instead, you will be the ultimate bridge between cutting-edge technology and business operations. Your mission is to analyze our current workflows, identify inefficiencies, vet and select market-ready AI tools, and successfully integrate them into our daily operations to drive massive efficiency gains and measurable cost savings. If you are a tech-savvy operations professional who loves finding "the smarter way to work" and can translate technical capabilities into clear, bottom-line business value, this role is for you.

Key Responsibilities

• Workflow Audit & Identification: Continuously analyze departmental workflows (e.g., HR, Sales, Finance, Customer Service, Legal) to identify repetitive, high-friction, or manual tasks ripe for AI automation.
• Vendor Vetting & ROI Analysis: Research, test, and evaluate commercial AI tools, platforms, and software vendors. Build clear business cases and calculate potential return on investment (ROI) and cost-reduction metrics before purchasing.
• System Integration & Hands-on Deployment: Partner with internal IT/Tech teams or external vendors to safely integrate selected AI tools into our existing software stack (CRM, ERP, internal databases).
• Change Management & Internal Training: Create simple, clear documentation, playbooks, and training programs to ensure high employee adoption rates. Act as the internal champion to help teams overcome resistance to new tech.
• Performance Monitoring: Establish Key Performance Indicators (KPIs) to track the performance, accuracy, and actual financial impact of implemented AI tools, adjusting strategies based on real-world data.
• Risk & Compliance Guardrails: Ensure all implemented tools comply with data privacy regulations, company security standards, and ethical AI guidelines.

Required Experience & Qualifications

• Experience: 3 to 5+ years of experience in technical project management, operations management, business analysis, or digital transformation roles.
• AI Literacy: Strong, practical knowledge of the current AI vendor landscape (e.g., LLMs, automated workflow tools, data extraction, RPA, and AI-driven SaaS platforms). You know what tools exist and what they can actually do for a business.
• Integration Familiarity: Basic understanding of cloud infrastructure, APIs, and data flows to effectively collaborate with developers and software vendors.
• Change Management: Proven track record of rolling out new software or processes across non-technical teams with high adoption rates.
• Analytical Mindset: Strong financial acumen with the ability to build cost-benefit analyses and present data-backed recommendations to executive leadership.

Core Competencies

• The "Industry Intelligence" Filter: Ability to look past tech-industry hype and evaluate tools purely based on practical, job-ready utility and commercial revenue impact.
• Translation Skills: Exceptional communication skills—able to talk logic and APIs with developers, and ROI and operational metrics with executives.
• Problem Solving: A natural curiosity and obsession with optimization, automation, and cutting through operational noise.

Sample KPIs For This Role

• Operational Efficiency: Percent reduction in hours spent on specific manual tasks post-AI adoption.
• Cost Savings: Total dollar amount saved by replacing or optimizing inefficient processes/legacy software.
• User Adoption Rate: Percentage of target internal employees actively using the implemented AI tools weekly.

Compensation

150K plus, based, on expertise.