Senior Manager, Data Science - AI Strategy (Spark Earnings Excellence)

Location: ISD Office - DGTC AR BENTONVILLE Home Office, Bentonville, Arkansas, United States

Annual salary: $110,000–$220,000, plus performance bonuses and possible stock compensation.

Company

hirify.global is part of Walmart and develops technology and data-driven capabilities supporting Walmart’s business and driver earnings operations.

What you will do

• Own the multi-year AI and automation vision across Spark Earnings Excellence.
• Architect scalable data, platform, and governance foundations for enterprise AI.
• Deliver agentic AI for payment validation, defect root-cause analysis, reconciliation, anomaly detection, and audit reporting.
• Prioritize the portfolio through business cases balancing impact, effort, and risk.
• Lead Engineering, Data Science, and platform teams from concept through production with measurable outcomes.
• Partner with Legal, Compliance, and InfoSec on responsible AI, evaluation, drift monitoring, change management, and executive communication.

Requirements

• One of the following: a bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field plus 5 years of analytics-related experience; a master’s degree in one of these fields plus 3 years of analytics-related experience; or 7 years of experience in an analytics or related field.
• 8+ years in data science, analytics, or machine learning, including 3+ years leading high-performing teams.
• Proven experience shipping ML and GenAI solutions with measurable business impact.
• Expertise in statistical modeling, machine learning, anomaly detection, and experimentation.
• Hands-on experience with Python, SQL, and machine learning frameworks.
• Experience building GenAI and agentic AI systems from prototype to production.
• Experience with model evaluation design, drift monitoring, benchmarking, and observability.
• Knowledge of data governance, controls, audit, sensitive data, and AI cost optimization.
• Ability to translate ambiguous business problems into technical requirements and communicate complex models to executives and non-technical audiences.

Nice to have

• Master’s degree or equivalent in a quantitative field.
• Finance or Compliance experience.
• Experience with optimization models, a PhD in a relevant field, or supervisory experience.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch.
• Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility best practices.

Culture & Benefits

• Full-time employment with medical, vision, dental, life insurance, disability coverage, 401(k), stock purchase options, and performance-based bonuses.
• Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, voting leave, vacation, holidays, and other applicable leave.
• Walmart-paid education through Live Better U, including tuition, books, and fees for eligible programs.
• Additional benefits include company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
• Drug-free workplace with a zero-tolerance policy for illegal drugs and alcohol on the job.