Jobs · Human Resources · Texas

Talent Advisor II

GM Financial · Irving, TX · 1 mo ago
HybridHuman ResourcesFull-time

Responsibilities

The Technical Talent Advisor II is responsible for partnering with Recruiting leadership, HR Partners and Technology Hiring Managers to execute a staffing strategy to include full life cycle recruiting, assisting in the development and execution of a broad based sourcing strategy, ultimately delivering a viable talent pipeline for the business.

The emphasis of the Technology Talent Advisor II will include but not limited to IT, Engineering, Data, AI, Cybersecurity, Digital Technology, and Salesforce positions. The Talent Advisor II will develop and execute a plan to meet hiring requirements by evaluating, interviewing and presenting qualified candidates to hiring managers and also provide regular updates throughout the process to ensure candidate decisions are made timely.

This role extends and negotiates employment offers with candidates by selling the company and the position and completes the pre-employment process according to recruiting guidelines. The Technical Talent Advisor II will assist all facets of recruitment and complete special projects, as needed.

In this role, you will participate in the development and execution of comprehensive sourcing strategies and conduct candidate sourcing for assigned roles in functional area by leveraging multiple sourcing channels to identify and attract top talent. Proactively search for, identify, network with and directly contact active and passive job seekers, both internally and externally, for vacancies.

Sourcing the best candidates using a variety of channels that are aligned to and effectively communicate Meet defined Talent Acquisition metrics for quality, cost, cycle time, diversity and compliance/risk all while providing a world class recruitment experience for candidates and business partners throughout the hiring process.

Participation in special projects to enhance and improve the Recruiting department’s functions. With minimal guidance, extend employment offers with candidates and complete the pre-employment process according to the recruiting guidelines.

Qualifications

Advanced knowledge of HR policies and procedures related to employment and pre-employment Advanced knowledge of IT programs, systems, software, etc.. Detailed knowledge of company hiring practices Complete understanding of individual hiring manager’s expectations of the recruitment process Advanced knowledge of technology solutions and their application within the hiring process Advanced knowledge of governmental employment law and regulations Advanced knowledge of statutory regulations (e.g., anti-discrimination laws, pre-employment screenings, interview techniques/limitations, etc..) Knowledge of behavioral based interviewing practices and other selection methods Advanced knowledge of employee performance standards and organizational development Ability to collaborate and build relationships with stakeholders across functional and organizational lines Extensive knowledge of applicant tracking systems (ATS) Extensive knowledge of posting open requisitions, tracking candidate activity and maintaining compliance with required data fields Proficiency with Microsoft Office applications, Oracle iRecruitment, and online job posting/search engines Proficiency with leading small scale talent acquisition projects

Work Experience & Education

2-4 years full life-cycle recruiting experience, preferably with a strong background with high volume positions required Experience with developing and executing sourcing strategies required Experience deploying, administering and interpreting various assessment tools required High School Diploma or equivalent required Bachelor’s Degree Business/in related field or equivalent work experience

Additional Knowledge And Skills

Working effectively within an AI enabled environment: Ability to use AI tools (e.g., Microsoft Copilot) to support daily work Skills in evaluating AI outputs for accuracy, compliance, and bias Experience integrating AI into workflows to improve efficiency or insights Familiarity with AI assisted research, summarization, and content generation Understanding of responsible AI use, including ethics and data protection

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