Skills Foundation Lead – Learning & Talent

Onsite 4 days per week in Orlando, New York or Glendale/Burbank - MUST be currently local to one of these locations
Pay rate: $85 - 95/w2
Six+ months - W2 ONLY contract

7+ years of experience in HR technology, workforce technology, or talent/learning platform implementation.
Hands-on experience building or implementing skills taxonomies, task frameworks, or job architectures within enterprise HR or learning systems.
Experience mapping skills and tasks to job architectures and learning content at scale.
Proven ability to translate business requirements into technical system design and configuration.
Experience configuring and integrating platforms such as Workday (Skills Cloud, Talent Management, Learning) or SAP SuccessFactors (Skills & Competencies, Learning) or Phenom (Internal Marketplace, Succession, Skills, Career Pathing)
Strong understanding of enterprise HR data structures, integration patterns, and platform dependencies.

Seeking a Skills Foundation Lead – Learning & Talent to execute the implementation of a enterprise skills foundation, adjusting the existing skills setup (where present) while establishing a consistent in-system taxonomy, task-to-skill and job-to-skill mapping, system integration, and alignment across talent and learning platforms. The focus is on
implementing an initial skills foundation within enterprise applications that can be further scaled as the skills and task ontology matures.

Responsibilities of Role
Skills Architecture & Implementation

Partner with business leaders to determine the technical design, sequence, and timeline required to implement an initial task/skills foundation across enterprise talent and learning platforms.
Assess and modernize or replace the existing enterprise tasks and skills in-system setup, including current taxonomy, data structures, and platform configuration.
Assess and implement initial tasks and skills where none currently exist.
Map tasks to skills and jobs to skills within applications resulting in an in-system usable skills architecture that reflects how work is performed leveraging inputs for other work such as an internal Role Builder Job Architecture tool or external skills assessment tools.

Platform Alignment & Integration

Enable integration of skills data across enterprise talent, learning, and performance applications.
Align skills mappings to learning content, roles, and talent data across platforms (e.g., Workday, SAP
SuccessFactors).
Identify and resolve gaps in skills data consistency across talent & learning.

Governance & Sustainability

Establish governance and processes to maintain the skills taxonomy, task mappings, and job architecture in partnership with Technology Product and Center of Excellence (CoE) teams.
Document methods and define repeatable processes to map skills to learning content at scale.
Document learnings from initial pilots to inform further scaling of the skills foundation.

Expected Outcomes

Technical design identified and documented for the enterprise skills foundation.
Basic core tasks and skills taxonomy implemented across learning and talent applications.
Learnings from pilots captured to enable further scaling.
Defined and demonstrated method to map core skills to learning content in mass.
Connected enterprise skills data layer across talent, learning, and workforce planning.
Basic core task-to-skill and job-to-skill mappings established to support future capabilities such as career pathing, workforce planning, and talent marketplace.

Must Haves (Years of Experience, Tools, Languages, Certifications, etc.)

7+ years of experience in HR technology, workforce technology, or talent/learning platform implementation.
Hands-on experience building or implementing skills taxonomies, task frameworks, or job architectures within enterprise HR or learning systems.
Experience configuring and integrating platforms such as Workday (Skills Cloud, Talent Management, Learning) or SAP SuccessFactors (Skills & Competencies, Learning) or Phenom (Internal Marketplace, Succession, Skills, Career Pathing)
Proven ability to translate business requirements into technical system design and configuration.
Experience mapping skills and tasks to job architectures and learning content at scale.
Strong understanding of enterprise HR data structures, integration patterns, and platform dependencies.
Demonstrated ability to establish data governance processes and maintain taxonomy frameworks across product and CoE teams.
Excellent written and verbal communication skills; experience influencing and presenting technical recommendations to HR and business stakeholders.
Experience working in large, matrixed, global organizations with multiple stakeholder groups and interconnected priorities.

Nice to Haves

Experience supporting skills-based operating model transformations or large-scale HR modernization programs.
Agile or product management methodology experience.
Experience with AI-enabled skills inference tools or skills engines (e.g., Eightfold AI, Lightcast/Emsi, LinkedIn Skills Graph).
Deep experience with Phenom, Workday, or SAP SuccessFactors HR capabilities
Familiarity with talent marketplace, internal mobility, or workforce planning platforms.
Experience with job architecture frameworks.
Tools: AI tools, Airtable, ServiceNow CMDB, Clarity, or similar program tracking tools.

Education
Bachelor’s degree in Computer Science, Information Systems, Human Resources, Organizational Development, or a comparable field of study, and/or equivalent work experience.

The estimated pay range for this position is USD $85.00/hr - USD $95.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.

Skills Foundation Lead – Learning & Talent

Quick Overview

Job Description

Skills

Similar jobs

Instructional Systems Designer

Senior Training & Change Management Specialist

Fire Sprinkler Designer

Technical Services Analyst

Staff Research Scientist / Reinforcement Learning

Mechanical Engineer (AI Research)