Talent Management Architect

The Global Talent Management Team is seeking a highly motivated, hands-on Talent Solutions Architect to serve as a senior individual contributor. You will lead the end‑to‑end architectural design of talent solutions that build capabilities across Resideo’s global workforce — Engineering Tomorrow’s Talent, Today.

In this pivotal role, you will define scalable, secure, and high-performing systems solutions that span the Talent Management ecosystem. Working closely with HRBPs, Shared Services, HR IT, and business teams, you'll shape systems that empower our employees to thrive. 

This position requires both deep hands-on performance, Facilitation, and succession planning experience. You will have felt the weight of talent system decisions through implementation while possessing the broader perspective needed to orchestrate scalable solutions across multiple programs and portfolios. 

• Enterprise Talent Management & Consulting:

  • Lead the design and execution of enterprise talent management practices, including talent reviews, succession planning, performance enablement, organizational development, and planning.

  • Facilitate enterprise and business-level talent discussions, calibration sessions, and succession forums.

  • Design and deliver inclusive, outcome-focused facilitation experiences for leaders.

  • Develop tools, templates, guides, and leader enablement resources.

  • Partner with HRBPs and business leaders to ensure consistent and equitable talent practices.

  • Use data and insights to inform talent decisions and recommendations.

  • Architect holistic, end-to-end solutions that integrate performance management, Learning & Development, succession pipelines, succession planning, and skills/competencies. 

• Facilitation & Talent Forums: 
  • Facilitate enterprise and business‑level talent sessions, including talent reviews, calibration discussions, succession planning forums, and leadership development working sessions. 

  • Design and deliver structured, inclusive, and outcome‑focused facilitation experiences for leaders at multiple levels. 

  • Guide leaders and HRBPs through complex people discussions, ensuring clarity, objectivity, equity, and alignment with talent standards. 

  • Facilitate both virtual and in‑person sessions, adapting style and materials to audience and context.

  • Drive standardization of talent practices across the organization while de-risking future system capabilities through hands-on development of Processes, procedures, and frameworks. 

• Measurement & Evaluation (Continuous Improvement): 

  • Develop and maintain practical tools, facilitator guides, templates, and leader job aids that enable consistent execution of talent processes. 

  • Enable HRBPs and leaders through structured enablement sessions, playbooks, and on‑demand resources. 

  • Document and standardize facilitation approaches and talent methodologies to support scalability and sustainability.

• Stakeholder partnership & Collaboration: 

  • Act as a thought partner to senior leaders and HRBPs, influencing decisions without formal authority. 

  • Collaborate with adjacent HR functions (e.g., Learning, Inclusion, Workforce Planning, Total Rewards) to ensure integrated talent solutions. 

  • Use data, insights, and business context to inform recommendations and challenge thinking constructively.

  • Support cross-team design reviews, architectural governance, and best practice enforcement across multiple programs and portfolios. 

• 8–10+ years of experience in Talent Management or related HR disciplines.

• Demonstrated experience facilitating leader-level or enterprise talent discussions.

• Strong expertise in performance, potential, succession, and development planning. 

• Expertise in Organizational Development. 
• Familiarity with data analytics for measuring business impact. 
• Ability to manage complex projects and influence cross-functional teams.
• Experience leveraging AI and machine learning capabilities in program / solution development and system architecture. Understanding of how AI/ML can be integrated into solutions. 

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