Director, Talent Development

Key Responsibilities

• Lead Talent Development Operations and Integration
• Translate enterprise talent development priorities into integrated execution plans across onboarding, leadership development, learning experience design, and facilitation capabilities.
• Establish and manage the operating rhythm, governance processes, prioritization frameworks, and resource allocation mechanisms for the Talent Development organization, including support for AI capability-building priorities.
• Drive alignment and integration across talent development teams and partner closely with adjacent People & Places functions, business leaders, and cross-functional stakeholders to embed AI-enabled ways of working, innovation practices, and OneORBIT behaviors into talent development priorities.
• Collaborate closely with the Senior Director, Talent Development to define the strategic direction, enterprise stakeholder engagement, organizational alignment, and successful execution of talent development priorities.

Qualifications

• Required Experience:
• 10–15 years of progressive experience in talent development, organizational development, leadership development, or related fields.
• Demonstrated experience leading managers and multi-disciplinary teams.
• Deep expertise in talent development with meaningful exposure to organizational development methodologies and practices.
• Proven success leading operations, execution, and large-scale implementation efforts within complex, matrixed organizations.
• Experience supporting enterprise-wide talent development programs for global populations.
• Experience working across multiple learning disciplines, including onboarding, leadership development, facilitation, instructional design, learning technology, and AI-enabled skill development.
• Preferred Experience:
• Experience implementing or managing modern learning ecosystems, including LMS and LXP platforms, content authoring tools, and digital learning technologies.
• Experience leveraging AI-enabled learning solutions, generative AI tools, learning analytics, and skills intelligence platforms.
• Experience supporting skills-based talent initiatives, organizational capability-building efforts, and enterprise adoption of AI-native ways of working.
• Experience working within technology, software, engineering, or other large-scale global business environments.
• Familiarity with human-centered design methodologies, facilitation practices, and group dynamics frameworks.
• Experience embedding innovation practices, experimentation, and culture into talent development programs and team operating models.