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Intuit Manager Operations Strategy & Execution United States, California, San Diego 477240082
10.04.2025
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Responsibilities
- Build and lead a team of business analysts, providing leadership, direction, and guidance.
- Develop data-driven insights to drive Expert Network capacity decisions and improve business outcomes.
- Technical understanding of upstream workforce management (WFM) value chain to own the comprehensive handoff and explanation of the capacity waterfall
- Collaborate with product management and development teams to contribute to an AI Powered E2E WFM Platform
- Manage operational effectiveness of data mining, statistical analysis, and predictive modeling programming activities.
- Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects.
- Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
- Optimize Expert occupancy to match premium customer service with optimal internal productivity and cost management.
- Partner closely with all Expert Network teams to make critical decisions about where we invest our efforts, understanding the impact of our business, defining key success metrics, and core segmentations.
- Influence team's roadmap by sharing findings with the rest of the company, and driving and verifying change in our Expert Network outcomes.
Qualifications
- Innovative and disruptive technology leader solving long term strategic outcomes
- Proven ability to apply scientific methods to solve real-world problems
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
- Excellent communication skills: able to lead initiatives across multiple work streams and communicate findings with leadership teams
- Knowledge to translate quantitative findings into actionable insights and influence business decisions
- Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
- Ability to turn ambiguous questions and problems into clear deliverables and insights
- Experience in querying and manipulating large data sets
- Ability to make tradeoffs between speed and accuracy wisely
- Strong background in statistical analysis, programming, and experimentation
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics or related field; Equivalent work experience considered
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