Full job description Overview Intuit SBSEG Data and Analytics has an exciting opportunity to be part of the fast-growing Mid-market Analytics team that plays a critical role in driving growth in Mid-market with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit’s 5 Big Bets initiatives. The Mid-market Analytics team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps, (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing. We are looking for a Manager 3, Data Science, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for a critical or high-growth business areas. The ideal candidate will also have a passion for building and developing a high-performing Data Science team, while demonstrating a forward-looking, strategic and extreme ownership mindset. What you'll bring Minimum 10+ years of experience in analytics or Data Science area Minimum 5 years of experience in managing a team of 7+ data scientists/analysts. 10+ years of hands-on experience in SQL and data visualization tools such as Tableau, Qlik. Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is highly preferred. Ability to create analytical framework for solving complex business problems with proven track record. Ability to manage multiple projects simultaneously to meet objectives. Ability to identify strategic opportunities. Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives. Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field. How you will lead Build and develop a high-performing Data Science team. Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc. Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes. Proactive explore and identify new business opportunities to help business partners to achieve business goals. Communicate data and insights effectively to business partners of all levels including senior leadership team. Collaborate with other analytics teams and data engineers to work on cross-functional projects or develop analytics/AI capabilities.