Enterprise Architect Talent Development Strategy

3 - 7 years

0 Lacs

Posted:1 month ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an Enterprise Architect for Talent Development Strategy, your role will involve leading the design and implementation of a scalable, intelligent platform to enhance the talent development strategy. You will integrate cutting-edge learning technologies, skills sensing and management, apply Agentic AI principles, and ensure seamless user experiences across the enterprise. Your focus will be on driving platform reliability, adaptability, and data-driven decision-making to meet evolving learner and organizational needs. Key Responsibilities: - Design and implement a robust enterprise talent development platform architecture aligned with business goals. - Ensure platform scalability, security, and performance across global user bases. - Lead the selection and integration of talent development tools such as LMS, LXP, content libraries, AI tutors, and skill management systems. - Embed Agentic AI principles to enable autonomous, personalized journeys. - Architect AI-driven features such as skill gap analysis, learning nudges, and career pathing. - Define data architecture to capture, analyze, and visualize outcome-based metrics. - Enable real-time dashboards for leaders to track impact and ROI. - Champion user-centric design principles to optimize platform usability. - Drive continuous feedback loops to enhance platform features and content delivery. - Partner with L&D, HR, and IT stakeholders to align platform capabilities with strategic talent goals. - Lead change management initiatives to drive adoption and cultural shift toward AI and Agent infused processes. - Stay ahead of emerging technologies and trends in talent development and enterprise architecture. Qualifications: - Bachelors or Masters in Computer Science, Information Systems, or related field. - 10+ years of experience in enterprise architecture, with at least 3 years in talent development related technology. - Proven experience in designing and deploying enterprise-grade platforms. - Strong understanding of AI/ML, especially in learning and talent contexts. - Familiarity with Agentic AI, LXP/LMS systems, and interoperability standards (e.g., xAPI, SCORM). - Excellent stakeholder management and communication skills.,

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Cognizant

IT Services and IT Consulting

Teaneck New Jersey

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