Senior Analyst, HR AI Architecture

Job Summary

Looking to shape the future of HR through advanced AI solutions? Spectrum is seeking a Senior AI Analyst to drive AI-enabled HR initiatives that enhance recruiting, onboarding, talent management and employee experience. You’ll partner with HR, Legal and IT to translate business goals into robust, data-driven outcomes that elevate both process efficiency and employee satisfaction. Your work will directly influence the impact and adoption of innovative HR technologies across Spectrum.

Responsibilities

How You’ll Make an Impact

- Translate HR business goals into analytical strategies, metrics and experiment designs for AI-driven features such as talent matching and case deflection

- Build and validate data pipelines and feature sets, collaborating with IT to prototype and test AI capabilities including large language models and recommender systems

- Define and track critical success metrics like time-to-hire and internal fill rate, while monitoring model performance, drift and user adoption

- Implement and monitor AI guardrails related to fairness, privacy, security and consent, documenting decision rationale and model cards

- Collaborate with Legal and Compliance to ensure policy adherence, including data minimization and access controls

- Support vendor evaluations and proof-of-concept initiatives, providing clear analysis of ROI and risk for build-versus-buy decisions

- Maintain configuration guides, experiment logs and knowledge articles to ensure reproducibility and transparency of analyses

Working Conditions

- Office environment

Qualifications

What You’ll Bring to Spectrum

Required Qualifications

Education

- Bachelor’s degree in Computer Science, Information Systems, Data Science, HR Analytics or related field

Experience

- 3+ years of AI/ML analytics, experimentation or product analytics experience

- 3+ years of HR technology or analytics experience

- 2+ years of experience with HCM platforms and HR data integrations

Skills

- Strong proficiency in AI/ML fundamentals including classification, ranking, NLP, embeddings and large language model evaluation

- Hands-on experience with HCM platforms such as Workday, Oracle HCM or SAP SuccessFactors, including integrations and data governance

- Ability to design experiments, define KPIs and interpret complex data into actionable insights for non-technical audiences

- Proficiency with SQL and Python for data preparation and analysis

- Knowledge of responsible AI practices such as fairness testing, privacy-preserving techniques and security controls

- Excellent communication, stakeholder management and documentation skills

- Ability to work in a fast-paced environment and manage shifting priorities

Preferred Qualifications

Education

- Oracle HCM Cloud certification(s)

Experience

- Experience with AI algorithm creation, Agentic AI, system integrations and HCM implementations

Skills

- Experience with LLM evaluation frameworks, prompt engineering, retrieval augmented generation and vector databases

- Experience improving HR outcomes including reducing time-to-hire, increasing internal mobility and boosting HR helpdesk deflection

- Familiarity with MLOps or model monitoring tools and secure data handling in enterprise settings