AI Data Specialist

Key Responsibilities

• Partner with leaders across Sales, Operations, Purchasing, Finance, Marketing, Customer Success, Quality, and Manufacturing to identify operational challenges and improvement opportunities.
• Translate business requirements into automated reporting, dashboards, and workflow solutions.
• Serve as an internal consultant helping departments leverage AI, automation, and emerging technologies to improve efficiency and business performance.
• Lead cross-functional initiatives from concept through implementation.
• Identify repetitive or manual business processes suitable for automation.
• Evaluate emerging AI platforms and technologies for organizational value and practical implementation.
• Implement AI-powered solutions within ERP and CRM systems to streamline operational and customer-facing processes.
• Develop AI best practices, governance standards, and scalable automation strategies.
• Ensure data accuracy, consistency, and integrity across reporting systems.
• Develop dashboards, KPI reporting, and executive analytics utilizing ERP, CRM, and business data.
• Analyze business trends to identify opportunities for operational improvements, cost savings, and revenue growth.
• Deliver actionable insights that support strategic decision-making.
• Support data visualization and business intelligence initiatives across the organization.
• Assess AI applications, software platforms, and digital tools for usability, scalability, security, and long-term business value.
• Develop proof-of-concept (PoC) initiatives to validate emerging technologies prior to enterprise implementation.
• Recommend technology solutions that improve productivity, efficiency, and organizational scalability.
• Train employees on AI technologies, automation capabilities, and best practices.
• Develop SOPs, documentation, and training materials supporting new systems and processes.
• Drive organizational adoption by ensuring solutions are user-friendly, practical, and aligned with business objectives.

Qualifications

• Bachelor's degree in Business, Data Analytics, Information Systems, Computer Science, Engineering, or a related field (or equivalent experience).
• 2–5 years of experience in business analytics, process improvement, automation, artificial intelligence, or technology implementation.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Strong collaboration and project coordination abilities.
• Preferred: Experience with Microsoft Power BI, Excel, SQL, Power Automate, Power Apps, or similar business intelligence tools.
• Preferred: Familiarity with generative AI platforms including ChatGPT, Microsoft Copilot, Claude, Gemini, or similar technologies.
• Preferred: Experience implementing business intelligence reporting and dashboard solutions.
• Preferred: Experience supporting ERP and CRM systems.