Senior Analyst, HR AI Architecture

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
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.

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

• Office environment

• Bachelor's degree in Computer Science, Information Systems, Data Science, HR Analytics or related field

• 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

• 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

• Oracle HCM Cloud certification(s)

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

• 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