Manager, Strategy, Growth, and Transformation
- Partner with the Talent Architecture & Skills Governance Leader to execute the vision and strategy for talent architecture and skills governance, driving business-as-usual activities and medium-impact changes aligned with established governance and design principles.
- Lead stakeholders through the governance process, facilitate working sessions and decision forums, and document decisions and rationale to support timely, well-informed outcomes.
- Manage day-to-day operations and cross-functional coordination across business, Enterprise Solutions, and Data Management teams to implement changes on time, effectively, and in compliance with established standards.
- Oversee the intake, evaluation, and tracking of revision proposals, assess downstream impacts, identify risks and roadblocks, and recommend solutions that balance framework integrity with business needs.
- Develop business cases, change options, and executive-ready materials for job architecture changes, including the use of AI-assisted solutions, while driving process improvements that enhance transparency, efficiency, and team effectiveness.
- Ability to work independently and collaborate as part of a team
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Ability to mentor and provide clear guidance to others
- Bachelor's degree or equivalent
- 6+ years of experience in talent strategy, job architecture, compensation design, business strategy, business intelligence, or organizational transformation
- Experience developing business cases, governance recommendations, or executive-level materials for senior management
- Experience defining, documenting, and facilitating governance or data maintenance processes that include risk review steps
- Experience working with large data sets or supporting data strategy development
- Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Strong critical thinking, analysis, and problem-solving skills
- Experience with Artificial intelligence/machine learning driven human resources solutions
- Knowledge of Human resources data taxonomy and ontology processes and tools
- Experience with data mapping, standardization, hierarchies, reporting, and integrations
- Familiarity with data privacy regulations, including General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), to human resources data
- Experience working in large, complex organizations or consulting environments managing transformations
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