Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
About Intuit & Our Team
Intuits Global Business Solutions Group (GBSG) is focused on empowering small and mid-market businesses (SMBs) by building cutting-edge financial products. B2B bill payment, a high priority hyper-growth new product within Intuit, is redefining how businesses transact by streamlining accounts payable workflows and online B2B bill payments. This rapidly scaling product is poised to be a game-changer for SMBs, helping them manage AP, pay bills to other companies, and manage expenses seamlessly.
The B2B Payments Product Analytics Team plays a crucial role in driving product innovation and decision-making through data. We partner cross-functionally with Product, Engineering, Go-To-Market, Finance, and Commercial teams to enhance customer experiences and accelerate business growth.
About the Role
We are seeking a Senior Manager, Product Analytics to lead a team of 4-5 analysts and spearhead data-driven decision-making for our B2B Network & Payments product. This leader will develop strategic analytics frameworks, guide experimentation, and drive insights that shape the future of B2B payments at Intuit.
Responsibilities
Leadership & Team Development:
Lead, coach, and develop a high-performing team of 4-5 product analysts
Define and execute the teams analytics strategy to support hyper-growth and expansion
Analytics & Strategy:
Define and track key product and business performance metrics, identifying opportunities for growth and optimization.
Drive strategic insights to influence product roadmaps and go-to-market strategies for B2B Payments
Guide team to translate complex data findings into clear insights and actionable business strategies for both technical and non-technical audiences
Cross-Functional Collaboration:
Partner closely with Product, Engineering, Finance, GTM, and Commercial teams to drive data-backed decisions.
Work with data engineering teams to enhance data infrastructure, ensure data quality, and build scalable analytics solutions.
Enforce prioritization of analytics asks to ensure the team is working on most impactful work
Requirements: 7+ years of experience in product, customer, and GTM analytics
4+ years of leadership experience managing a team of analysts
Familiarity with SQL, Python, and statistical modeling techniques (e.g., regression, classification, clustering etc.).
Ability to influence senior leaders with strong data storytelling and business acumen.
Experience with experimentation and causal inference, familiar with data visualization tools (Tableau, Looker, Power BI, etc.).
Preferred: Experience in financial technology, payments, or B2B platforms.
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