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Training Consultant – AI & Data Capability Enablement

Photon

Paris

Sur place

EUR 60 000 - 95 000

Plein temps

Aujourd’hui
Soyez parmi les premiers à postuler

Résumé du poste

A leading consulting firm in Paris seeks a Training Consultant to design scalable learning and upskilling roadmaps. This role involves translating assessment insights into structured training programs, collaborating with stakeholders, and defining effective learning modalities. The ideal candidate has 8–15 years of experience in Learning & Development and a proven track record in designing enterprise learning initiatives. This position offers an opportunity to drive talent enablement in alignment with AI and data capability goals.

Qualifications

  • 8–15 years of experience in Learning & Development, HR transformation, or talent enablement.
  • Proven track record in designing and implementing enterprise learning programs.
  • Strong understanding of instructional design and capability measurement.

Responsabilités

  • Translate findings from capability assessments into learning objectives.
  • Develop the framework for the AI Upskilling Factory.
  • Define upskilling strategies aligned to the CAP framework.
  • Identify suitable learning modalities for skill development.
  • Align training recommendations with business goals.
  • Define success metrics to evaluate training initiatives.
  • Produce a comprehensive Training & Upskilling Design Pack.

Connaissances

Learning & Development expertise
HR transformation experience
Strong communication skills
Stakeholder engagement
Competency modeling knowledge

Outils

Learning management systems (LMS)
Learning experience platforms (LXP)
Description du poste
Role Summary

The Training Consultant will be responsible for transforming assessment insights into a structured, scalable learning and upskilling roadmap. Working as part of Photon’s core consulting team, this role bridges the gap between capability diagnosis and development planning, ensuring that talent enablement programs are directly aligned with identified skill gaps and future-state AI and data capability goals.

This individual will collaborate with Photon’s architects, program lead, and consulting analyst to design a training blueprint that defines clear learning pathways, competency standards, and mechanisms for adoption and measurement.

Key Responsibilities
  • Translate Assessment Outcomes: Convert findings from the AI, Data & AI, and Data Science capability assessments into structured learning and development objectives.
  • Program & Curriculum Design: Develop the initial framework for the AI Upskilling Factory — including training pathways, course mapping, and role-based competency progression.
  • Capability Roadmap Development: Define short-term and long-term upskilling strategies aligned to the CAP (Capability–Adoption–Productivity) framework.
  • Learning Experience Design: Identify and recommend learning modalities (e.g., workshops, digital modules, coaching) suited to technical and behavioral skill development.
  • Stakeholder Collaboration: Partner with the Principal Consultant and Program Lead to align training recommendations with business goals and stakeholder expectations.
  • Measurement & Adoption: Define success metrics and feedback loops to evaluate the effectiveness of training initiatives and ensure ongoing capability uplift.
  • Documentation: Produce a comprehensive Training & Upskilling Design Pack outlining frameworks, learning pathways, and implementation recommendations.
Qualifications
  • 8–15 years of experience in Learning & Development, HR transformation, or talent enablement with exposure to AI, technology, or data functions.
  • Proven experience designing and implementing enterprise learning programs or academies.
  • Strong understanding of competency modeling, instructional design, and capability measurement.
  • Excellent communication, facilitation, and stakeholder engagement skills.
  • Prior consulting experience in organizational development, L&D, or digital transformation preferred.
  • Familiarity with learning platforms (LMS / LXP) and digital learning ecosystems is an advantage.
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