Pride Health
Job Title: AI Workforce Job Designer
Department:
HR
Classification Location:
Onsite
New York, NY Hours:
40 hours per week (8 hours per day) Duration:
3+ months (with possibility of extension) Pay Rate:
$70
$77 per hour (W2)
PURPOSE OF POSITION The AI Workforce Job Designer will lead a high-impact, short-term engagement to build the foundational workforce architecture for the Clients growing Artificial Intelligence Division. Over a 120-day period, this consultant-level role will focus on enterprise-level AI/ML workforce planning, developing standardized job families and competencies, and delivering market-informed compensation recommendations tailored to a public health/governmental organization.
SUMMARY OF DUTIES AND RESPONSIBILITIES Conduct AI/machine learning workforce planning and capacity modeling aligned with future organizational needs. Design standardized job families and role levels for AI, data science, and technical roles. Define core and technical competencies for all AI-related job classifications. Develop job descriptions and career pathways that support internal mobility and long-term growth. Benchmark comparable roles across public-sector healthcare, government, and technology industries to inform compensation and job titling. Deliver recommendations for a sustainable and scalable AI talent architecture aligned with organizational goals. Recommend a framework to support long-term workforce expansion and talent management. Collaborate with technical leadership, including the Senior Director of AI & Engineering, to align job architecture with operational and innovation objectives. Perform other duties as assigned.
SUMMARY OF SKILLS AND QUALIFICATIONS Demonstrated expertise in workforce planning, job architecture, and competency framework designpreferably within large, matrixed, public-sector organizations. Strong working knowledge of AI/ML roles, skill sets, and team structures, with the ability to translate technical functions into HR-aligned frameworks. Proven experience in compensation benchmarking and market analysis. Exceptional analytical and communication skills, with the ability to synthesize stakeholder input and industry research into clear, scalable deliverables (e.g., job families, career ladders, competency models). Strong project management skills with a track record of delivering complex initiatives on tight timelines. Familiarity with public-sector HR constraints, civil service considerations, and organizational policies. Excellent written and verbal communication skills, including experience presenting recommendations to leadership.
QUALIFICATIONS Education Masters degree preferred in Human Resources, Organizational Development, Data Science, or a related field. Experience 4+ years in workforce strategy, HR consulting, or organizational design. 2+ years supporting AI, data science, or technology-focused teams preferred. Technical Knowledge Job architecture and career pathing AI/ML functions, roles, and team structures Healthcare and public-sector workforce frameworks Compensation benchmarking Software/Systems Microsoft Office Suite Google Workspace Job Description Management Tools Equipment Operated Standard office equipment (computer, telephone, scanner, copier)
HR
Classification Location:
Onsite
New York, NY Hours:
40 hours per week (8 hours per day) Duration:
3+ months (with possibility of extension) Pay Rate:
$70
$77 per hour (W2)
PURPOSE OF POSITION The AI Workforce Job Designer will lead a high-impact, short-term engagement to build the foundational workforce architecture for the Clients growing Artificial Intelligence Division. Over a 120-day period, this consultant-level role will focus on enterprise-level AI/ML workforce planning, developing standardized job families and competencies, and delivering market-informed compensation recommendations tailored to a public health/governmental organization.
SUMMARY OF DUTIES AND RESPONSIBILITIES Conduct AI/machine learning workforce planning and capacity modeling aligned with future organizational needs. Design standardized job families and role levels for AI, data science, and technical roles. Define core and technical competencies for all AI-related job classifications. Develop job descriptions and career pathways that support internal mobility and long-term growth. Benchmark comparable roles across public-sector healthcare, government, and technology industries to inform compensation and job titling. Deliver recommendations for a sustainable and scalable AI talent architecture aligned with organizational goals. Recommend a framework to support long-term workforce expansion and talent management. Collaborate with technical leadership, including the Senior Director of AI & Engineering, to align job architecture with operational and innovation objectives. Perform other duties as assigned.
SUMMARY OF SKILLS AND QUALIFICATIONS Demonstrated expertise in workforce planning, job architecture, and competency framework designpreferably within large, matrixed, public-sector organizations. Strong working knowledge of AI/ML roles, skill sets, and team structures, with the ability to translate technical functions into HR-aligned frameworks. Proven experience in compensation benchmarking and market analysis. Exceptional analytical and communication skills, with the ability to synthesize stakeholder input and industry research into clear, scalable deliverables (e.g., job families, career ladders, competency models). Strong project management skills with a track record of delivering complex initiatives on tight timelines. Familiarity with public-sector HR constraints, civil service considerations, and organizational policies. Excellent written and verbal communication skills, including experience presenting recommendations to leadership.
QUALIFICATIONS Education Masters degree preferred in Human Resources, Organizational Development, Data Science, or a related field. Experience 4+ years in workforce strategy, HR consulting, or organizational design. 2+ years supporting AI, data science, or technology-focused teams preferred. Technical Knowledge Job architecture and career pathing AI/ML functions, roles, and team structures Healthcare and public-sector workforce frameworks Compensation benchmarking Software/Systems Microsoft Office Suite Google Workspace Job Description Management Tools Equipment Operated Standard office equipment (computer, telephone, scanner, copier)