Job
Description
Role Overview: As the Head of Talent Development at Forsys, your primary responsibility will be to lead the design and implementation of the next-generation learning ecosystem. This includes integrating AI-powered training, evaluation, and personalized skill pathways across Salesforce, Oracle, Conga, and other practices. Your role will require strategic leadership combined with practical innovation to create a blended learning model encompassing in-class instruction, virtual sessions, and self-service AI-assisted training modules aimed at accelerating talent readiness and performance. Key Responsibilities: - Conduct data-driven training needs analysis (TNA) utilizing AI-based tools to identify skill gaps within roles, practices, and projects. - Collaborate with delivery and practice leaders to align training priorities with customer demands and project readiness, specifically focusing on Salesforce, Oracle, and Conga ecosystems. - Develop a unified AI-enabled learning framework that dynamically adjusts content and difficulty based on learner progress and proficiency. - Create modular programs covering Quote-to-Cash processes, methodologies, and emerging technologies within the Forsys ecosystem. - Oversee a hybrid learning model that combines in-class workshops, virtual sessions, e-learning paths, and AI-guided self-learning modules. - Implement AI copilots and chat-based learning assistants to provide on-demand support to employees. - Manage the enterprise Learning Experience Platform (LXP) integrated with AI analytics and adaptive learning features. - Establish an AI-driven learning recommendation engine that suggests next-best-learning paths and certifications based on role, project, and performance data. - Implement AI-powered assessment and feedback systems to personalize learning feedback and benchmark employee readiness. - Ensure adherence to quality and compliance standards across all learning programs, maintaining content integrity and audit readiness. - Design and deliver behavioral, leadership, and interpersonal skills programs using AI-enabled assessment and coaching tools. - Collaborate with practice heads, project leaders, HR, and delivery teams to align capability building with business goals. - Build partnerships with AI learning platforms, certification bodies, and academic institutions to expand Forsys learning ecosystem. Qualifications: - Masters degree or PhD in IT, Computer Science, or related field (MBA preferred). - 10+ years of experience in Learning & Development, Talent Transformation, or Capability Management in a technology or consulting environment. - Proven expertise in designing and implementing AI-driven or digital learning ecosystems. - Strong knowledge of Salesforce, Oracle, and Conga platforms, particularly across Quote-to-Cash processes. - Proficiency in instructional design, adult learning methodologies, and blended delivery models. - Experience with LMS/LXP platforms and AI learning analytics. - Exceptional leadership, facilitation, and communication skills. - Certifications in Learning & Development, Instructional Design, or AI preferred. Role Overview: As the Head of Talent Development at Forsys, your primary responsibility will be to lead the design and implementation of the next-generation learning ecosystem. This includes integrating AI-powered training, evaluation, and personalized skill pathways across Salesforce, Oracle, Conga, and other practices. Your role will require strategic leadership combined with practical innovation to create a blended learning model encompassing in-class instruction, virtual sessions, and self-service AI-assisted training modules aimed at accelerating talent readiness and performance. Key Responsibilities: - Conduct data-driven training needs analysis (TNA) utilizing AI-based tools to identify skill gaps within roles, practices, and projects. - Collaborate with delivery and practice leaders to align training priorities with customer demands and project readiness, specifically focusing on Salesforce, Oracle, and Conga ecosystems. - Develop a unified AI-enabled learning framework that dynamically adjusts content and difficulty based on learner progress and proficiency. - Create modular programs covering Quote-to-Cash processes, methodologies, and emerging technologies within the Forsys ecosystem. - Oversee a hybrid learning model that combines in-class workshops, virtual sessions, e-learning paths, and AI-guided self-learning modules. - Implement AI copilots and chat-based learning assistants to provide on-demand support to employees. - Manage the enterprise Learning Experience Platform (LXP) integrated with AI analytics and adaptive learning features. - Establish an AI-driven learning recommendation engine that suggests next-best-learning paths and certifications based on role, project, and performance data. - Implement AI-powered assessment and feedback systems to personalize learning feedback and benchmark employee readiness. - Ens
