Sr. Specialist Talent Acquisition Technology & Operations

Summary:

The Senior Specialist, Talent Acquisition Technology & Operations supports AI-enabled solutions and day-to-day operations across the Talent Acquisition technology ecosystem. Guided by ADT's BLUE cultural values, the role boldly shapes the future by applying analytical expertise, technology knowledge, and sound judgment to improve AI performance, support launches, resolve issues, and ensure reliable experiences for recruiters, candidates, and hiring leaders.

Operating with a high degree of independence, the Senior Specialist supports AI agents and automation, technology launches, troubleshooting and break-fix, and workflow ownership. The role partners with Talent Acquisition, TA Technology, HR Technology, IT, vendors, and governance teams to unite and win together by solving problems, maintaining strong operational controls, and continuously improving technology performance.

Duties and Responsibilities:

- Monitor AI agents, automation, and emerging technology for performance, reliability, adoption, and quality; evaluate AI outputs for accuracy, consistency, and alignment with approved requirements and guardrails.
- Investigate AI and technology issues, perform root-cause analysis, and coordinate break-fix and enhancements with technical teams and vendors.
- Support AI and technology launches from testing through post-launch stabilization, including requirements validation, readiness, and issue tracking.
- Analyze performance data, user feedback, and recurring issues to recommend improvements; report on adoption, utilization, quality, risk, and value to TA Technology leadership.
- Partner with Talent Acquisition stakeholders and technical teams to translate business needs into clear requirements and connect workflows across tools to close gaps.
- Support responsible AI with governance, privacy, security, and compliance teams through validation, monitoring, escalation, and documentation of requirements, test evidence, changes, known issues, and controls.
- Manage projects from planning through implementation, coordinating stakeholders, timelines, dependencies, and risks to deliver on time.

Minimum Qualifications:

- Bachelor's degree or equivalent education and experience.
- 5+ years in HR or Talent Acquisition Technology, HR Operations, business systems, automation, analytics, or a related field.
- Proven experience supporting, testing, troubleshooting, or optimizing technology and translating business needs into clear requirements and recommendations.
- Experience with technology operations support, UAT, workflow management, or vendor administration.
- Strong analytical, organizational, problem-solving, and communication skills; able to manage multiple priorities independently.

Preferred Qualifications:

- HR or Talent Acquisition experience with AI, automation, conversational AI, or AI agents, and with TA technologies such as ATS, CRM, assessment, scheduling, and sourcing tools.
- Experience with technology launches, production support, break-fix, UAT, and continuous improvement, administration, and automation.
- Experience with vendor invoicing and contracts; knowledge of responsible AI, privacy, security, and compliance.

Knowledge, Skills, and Abilities:

- Analytical Thinking & Innovation (BOLD): Applies curiosity, critical thinking, and root-cause analysis to evaluate technology performance and AI-generated content for accuracy and quality, spot patterns and risks, and recommend improvements.
- Decision-Making & Accountability (LEAD): Owns operational and analytical work, exercises sound judgment, balances planned AI initiatives with time-sensitive operations, and escalates risks with clear recommendations.
- Collaboration & Influence (UNITE): Communicates clearly and builds trusted partnerships across business, technical, vendor, and governance teams, translating needs and feedback into clear requirements to achieve shared outcomes.
- Growth Mindset & Continuous Improvement (ELEVATE): Embraces change, feedback, and emerging technology to continuously improve AI solutions, workflows, and operations.