Manager Data Science (AI)

Location: Louisville, KY, United States; hybrid workplace. Travel is estimated at 10%.

Company

hirify.global provides workforce development services and is part of APM, a global health and human services organization focused on improving health, wellbeing, independence, employability, and community participation.

What you will do

• Frame ambiguous enterprise and functional business questions as structured analytical problems and deliver descriptive, diagnostic, predictive, and prescriptive analyses.
• Perform statistical analysis, forecasting, scenario analysis, root-cause analysis, and risk and performance investigations, translating findings into practical recommendations.
• Design, build, and maintain Power BI dashboards, scorecards, visualizations, and executive-ready analytical products.
• Use Python, SQL, M, DAX, and Power Query to acquire, clean, transform, join, analyze, and model data from multiple sources.
• Build reusable workflows and automate data preparation, quality checks, reporting, and recurring analysis.
• Partner with Finance, Procurement, Legal, Operations, and APM leadership while contributing to enterprise analytics standards and responsible AI-enabled solutions.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Engineering, or a related quantitative discipline.
• At least 3 years of relevant professional experience in data science, advanced analytics, business intelligence, analytics engineering, or a closely related field.
• Strong proficiency in at least one general-purpose analytical language such as Python or R, plus working proficiency in SQL.
• Hands-on experience developing Microsoft Power BI dashboards and analytical solutions, including data modeling, visualization design, and Power Query or comparable transformation tools.
• Experience applying statistical and analytical methods to complex real-world business problems and translating results into clear recommendations.
• Experience cleaning, transforming, validating, and reconciling data from multiple sources.
• Strong data visualization, written communication, and verbal communication skills, including the ability to explain complex findings to non-technical audiences.
• Ability to work independently, manage ambiguity, prioritize competing requests, and advance work with minimal direction in a growing, changing, or operationally complex organization.

Nice to have

• Master’s degree or another advanced degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Business Analytics, or a related quantitative field.
• Certifications in advanced analytics, data science, artificial intelligence, cloud data platforms, coding, or Microsoft Power BI.
• Experience with AI-assisted development tools, forecasting, predictive analytics, or other advanced analytical methods.
• Experience with Microsoft Azure, Fabric, Databricks, Snowflake, or comparable cloud data and analytics platforms.
• Experience supporting multiple corporate functions or working in a multi-business, contract-heavy, or service-delivery environment.
• Familiarity with analytics governance, metric standardization, data quality controls, model documentation, and responsible AI practices.

Culture & Benefits

• Purpose-driven work focused on health, human services, workforce development, and measurable community impact.
• Learning opportunities and networking programs.
• Inclusive workplace committed to fair and respectful treatment, equal employment opportunity, and reasonable accommodations.
• Work includes changing priorities, imperfect data, cross-functional collaboration, and accountability for accurate, documented, and trusted analytical products.