AI-Driven HR Solutions Analyst

Quest Oracle Community

Dallas (TX)

Hybrid

USD 90,000 - 120,000

Full time

10 days ago

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Benefits offered by this job

401(k) with match
Tuition Reimbursement
PTO from Day 1

Job summary

Baylor Scott & White Health is seeking an AI Analyst to support and optimize AI-driven HR technology, including Leena AI, working with HRIS, HR Operations, Analytics, IT, and business stakeholders to identify and implement innovative solutions across the HR technology landscape.

The ideal candidate combines HRIS knowledge, analytical thinking, and an understanding of AI technologies to improve HR processes, data quality, employee self-service experiences, and workforce decision-making.

Qualifications

  • Bachelor's degree or four years of relevant work experience in lieu of a degree.
  • Five+ years of experience supporting HR technology, HRIS, analytics, or related systems.
  • Experience supporting Leena AI, PeopleSoft, or similar AI-enabled HR platforms.
  • Experience with SaaS-based HRIS platforms such as Workday, SuccessFactors, Oracle HCM, Taleo, UKG, Symplr Time and attendance (SaaS), or similar systems.
  • Strong understanding of HR data structures, business processes, and HR technology ecosystems.
  • Knowledge of AI concepts including Machine Learning, NLP, Predictive Analytics, Generative AI.
  • Experience analyzing and interpreting large data sets to identify trends and opportunities.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to translate business needs into technical requirements and practical solutions.
  • Understanding of data privacy, bias mitigation, governance, and Responsible AI principles.

Responsibilities

  • Identify opportunities to leverage AI technologies and automation within HR processes to improve efficiency, service delivery, and employee experience.
  • Support the implementation, configuration, optimization, and ongoing administration of Leena AI solutions and related HR technology platforms.
  • Partner with HRIS, HR Operations, and business teams to evaluate and implement AI-enabled capabilities that align with organizational goals.
  • Analyze HR processes and workflows to identify opportunities for automation, prediction, and decision support.
  • Monitor AI solution performance, adoption, accuracy, and data quality, recommending enhancements as needed.
  • Translate business requirements into technical solutions, system improvements, and system testing (design, execute, track defects, etc).
  • Support integration of AI capabilities across HR technology platforms and SaaS-based HRIS systems.
  • Collaborate with HR, Legal, Compliance, Information Security, and Data Governance teams to ensure responsible, ethical, and compliant use of AI technologies and employee data.
  • Develop and maintain documentation, training materials, communication plans, and best practices related to AI-enabled HR technologies.
  • Create reports, dashboards, and workforce insights that support business and operational decision-making.
  • Serve as a liaison between business stakeholders and technology partners to ensure successful delivery of HR technology initiatives.
  • Stay current on emerging AI trends, HR technology innovations, and industry best practices.

Skills

Analytical thinking
Problem solving
Critical thinking
Communication
Stakeholder management
Machine Learning
NLP
Predictive Analytics
Generative AI
HRIS
SQL
Python
Power BI
Tableau
Data privacy
Governance

Education

Bachelor's degree or equivalent experience

Tools

SQL
Python
Power BI
Tableau
Enterprise AI platforms

Job description

Baylor Scott & White Health is seeking an AI Analyst to support and optimize AI-driven HR technology, including Leena AI, working with HRIS, HR Operations, Analytics, IT, and business stakeholders to identify and implement innovative solutions across the HR technology landscape.

The ideal candidate combines HRIS knowledge, analytical thinking, and an understanding of AI technologies to improve HR processes, data quality, employee self-service experiences, and workforce decision-making.

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