Intuit is seeking to reimagine the future of its Expert Network by advancing workforce strategy, implementing intelligence-led solutions, and enabling the company to scale operations with agility, precision, and resilience.
Requirements
- Data Science Expertise: Proven hands-on experience in data science, predictive modeling, and data-driven decision-making methodologies.
- Technical Skills: Proficiency in analytics tools such as Python, SQL, R, Tableau, or similar platforms for data analysis and visualization.
- Industry Knowledge: Advanced understanding of labor market trends, global workforce dynamics, and workforce optimization strategies.
- 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.
- Data analysis and visualization skills
- Experience with predictive modeling and machine learning algorithms
Responsibilities
- 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.
- 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.
- 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.
Other
- Bachelor’s degree in Data Science, Business, Engineering, or a related field; an advanced degree is preferred.
- 5+ years in data science, workforce planning, or operational strategy, preferably within call center or service environments.
- Ability to clearly communicate insights and recommendations using narrative storytelling and data visualizations, ensuring alignment across all levels of the organization.
- Collaboration with cross-functional teams
- Strong problem-solving skills
