Develop and execute the Expert Network topology strategy , including site selection , workforce sourcing, labor allocation, and partner selection.
Analyze global labor markets to identify the best geographic locations for future investments and workforce optimization.
Conduct cost-benefit analyses , operational performance assessments, and workforce modeling to ensure scalable and efficient operations.
Partner with cross-functional teams to design a workforce strategy that balances cost, flexibility, customer experience , and productivity.
Evaluate the performance of various labor models (e.g., onshore, offshore, nearshore) and align them with organizational objectives.
Build predictive models and apply advanced analytics to enable intelligence-driven decisions for long-term workforce planning.
Develop data-driven frameworks to guide footprint planning for agility, resilience, and scalability.
Clearly communicate insights and recommendations using narrative storytelling and data visualizations , ensuring alignment across all levels of the organization.
Qualifications
Data Science Expertise : Proven hands-on experience in data science, predictive modeling, and data-driven decision-making methodologies.
Strategic Thinker : Ability to identify opportunities, design solutions, and connect complex systems to address both short-term and long-term workforce challenges.
Innovative Problem Solver : Entrepreneurial mindset with a track record of building scalable solutions from scratch in dynamic environments.
Industry Knowledge : Advanced understanding of labor market trends, global workforce dynamics, and workforce optimization strategies.
Technical Skills : Proficiency in analytics tools such as Python, SQL, R, Tableau, or similar platforms for data analysis and visualization.
Education : Bachelor’s degree in Data Science, Business, Engineering, or a related field; an advanced degree is preferred.
Experience : 5+ years in data science, workforce planning, or operational strategy, preferably within call center or service environments.