AI Systems Analyst, HR Technology

Job not on LinkedIn

🕒 March 19

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Talivity

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

👥 HR Tech

🎯 Recruiter

🤖 Artificial Intelligence

HR Tech • Recruitment • Artificial Intelligence

<Talivity> is a strategic talent acquisition and HR consulting firm that helps organizations manage employer brand, labor market shifts, and AI-enabled hiring processes. They provide market intelligence (Talent Market Index), employer brand analysis from social and review signals, AI strategy and implementation, and HR technology consulting to improve attraction, assessment, and acquisition outcomes. Talivity serves enterprise clients with B2B consulting, events, research, and creative services to align hiring strategy with real-time market data.

📋 Description

• Audit and map HR technology ecosystems (ATS, CRM, HCM, analytics, and engagement tools). • Evaluate AI solutions across talent acquisition, workforce analytics, and automation categories. • Design integration blueprints to connect AI systems into existing HR tech stacks. • Partner with data, vendor, and IT teams to ensure compliance, interoperability, and performance. • Analyze workflow data to identify opportunities for AI-driven efficiency and improved decision-making. • Support pilots, proof-of-concepts, and full-scale implementations of AI solutions. • Stay current on HR tech vendors, AI tools, and emerging trends to guide clients’ investments.

🎯 Requirements

• 3–6 years’ experience in HR tech systems analysis, talent technology consulting, or related roles. • Strong understanding of ATS, CRM, and HCM platforms (e.g., Workday, Greenhouse, SAP SuccessFactors, Lever). • Familiarity with AI/ML applications in HR (e.g., candidate matching, conversational AI, talent intelligence). • Excellent analytical, problem-solving, and client communication skills. • Ability to translate complex tech ecosystems into clear business recommendations.