Data Science Manager Jobs at Intuit with Visa Sponsorship
Intuit's Data Science Manager roles sit at the intersection of product analytics, machine learning, and financial technology, leading teams that power products used by millions. Intuit has a consistent track record of sponsoring work visas for this function across multiple visa categories.
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Intuit’s Global Business Solutions Group (GBSG) is dedicated to powering prosperity for small and mid-sized businesses (SMBs) through data-driven innovation that simplifies how they move and manage their money.
The Workforce Solutions & Bill Pay team plays a pivotal role in this vision by developing insights, models, and scalable analytics solutions that fuel growth, efficiency, and world-class customer experiences across Intuit’s Workforce Solutions and Bill Pay ecosystems. This leader will sit within the GBSG Data Science & Analytics organization, partnering closely with the Payments cross-functional leadership team within Intuit’s Services organization to drive impact across Product, Marketing, Engineering, and Operations.
The Manager 3, Data Science will lead a team of senior data scientists and people managers to define the strategy, vision, and roadmap for Workforce Solutions & Bill Pay data science. This leader will champion the use of AI and advanced analytics to identify growth opportunities, optimize risk and revenue, and enhance customer trust — all while fostering a high-performance, customer-obsessed culture.
Responsibilities
- Lead and scale a high-performing team of data scientists, analysts, and data science managers to deliver end-to-end insights and modeling solutions that accelerate Workforce & Bill Pay growth, efficiency, and customer satisfaction.
- Develop and execute the strategic vision for Workforce & Bill Pay data science, aligning data science priorities with GBSG’s business strategy and Intuit’s broader AI-driven expert platform goals.
- Partner with Workforce & Bill Pay product, engineering, and marketing leaders to deliver insights that improve customer acquisition, onboarding, retention, and lifetime value — balancing growth with risk management.
- Drive predictive and generative AI innovation, including applications for customer segmentation, transaction forecasting, fraud mitigation, and personalized experiences.
- Own and evolve measurement frameworks for key business and customer outcomes, including growth, profitability, risk, and customer experience metrics.
- Champion experimentation and data-driven decision-making, using hypothesis-driven analysis to uncover opportunities for step-change improvements in Workforce & Bill Pay conversion, authorization rates, and customer satisfaction.
- Serve as a thought partner to Workforce & Bill Pay and GBSG executives, influencing strategic decisions through compelling storytelling and actionable data narratives.
- Foster a culture of inclusion, innovation, and continuous improvement, empowering teams to deliver measurable business impact and grow their careers within a dynamic, fast-paced environment.
- Collaborate cross-functionally across Intuit’s ecosystem (Product, Customer Success, Risk, Finance, Marketing, and Design) to deliver shared success metrics and advance enterprise-wide data maturity.
Qualifications
- 12+ years of experience in data science, analytics, or related quantitative disciplines; 6+ years of people leadership experience, including leading other managers and senior ICs.
- Proven ability to define and execute data science strategies that deliver measurable business growth, revenue impact, and customer benefit.
- Deep experience with payments, fintech, or financial services, including familiarity with customer lifecycle analytics, transaction data, and risk modeling.
- Demonstrated expertise in supervised and unsupervised learning, experimentation design, and advanced statistical modeling.
- Track record of influencing senior executives and partnering across functions to align on shared business goals and KPIs.
- Strong background in data storytelling, translating complex quantitative findings into clear, actionable recommendations.
- Passion for developing talent, building high-performing, diverse teams, and advancing analytics maturity within large organizations.
- Extreme ownership mindset with operational rigor, adaptability, and a focus on business outcomes.
Technical Skills
- Proficiency in SQL, Python, R, and data visualization tools (Tableau, Qlik, Looker, or equivalent).
- Expertise in machine learning and predictive analytics, including experience with classification, regression, clustering, and embedding models.
- Strong understanding of data infrastructure and pipelines supporting large-scale data products.
- Familiarity with modern AI/ML techniques (e.g., LLMs, reinforcement learning, generative AI) and their application to customer and operational use cases.
- Experience working with cloud-based data ecosystems (AWS, Snowflake, or GCP).
Preferred Qualifications
- Experience leading analytics or data science teams in payments, fintech, or SaaS industries.
- Proven success in developing reusable analytics frameworks and tools that enable scale and self-service across functions.
- Familiarity with risk and compliance analytics, including fraud detection and loss prevention modeling.
- Demonstrated ability to accelerate innovation through AI and automation, translating insights into measurable product and customer outcomes.
- Strong understanding of financial performance metrics (revenue, margins, cost-to-serve) and ability to link data insights to business P&L.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $226,500 - 306,500
- Southern California $222,000 - 300,000
Overview
Intuit’s Global Business Solutions Group (GBSG) is dedicated to powering prosperity for small and mid-sized businesses (SMBs) through data-driven innovation that simplifies how they move and manage their money.
The Workforce Solutions & Bill Pay team plays a pivotal role in this vision by developing insights, models, and scalable analytics solutions that fuel growth, efficiency, and world-class customer experiences across Intuit’s Workforce Solutions and Bill Pay ecosystems. This leader will sit within the GBSG Data Science & Analytics organization, partnering closely with the Payments cross-functional leadership team within Intuit’s Services organization to drive impact across Product, Marketing, Engineering, and Operations.
The Manager 3, Data Science will lead a team of senior data scientists and people managers to define the strategy, vision, and roadmap for Workforce Solutions & Bill Pay data science. This leader will champion the use of AI and advanced analytics to identify growth opportunities, optimize risk and revenue, and enhance customer trust — all while fostering a high-performance, customer-obsessed culture.
Responsibilities
- Lead and scale a high-performing team of data scientists, analysts, and data science managers to deliver end-to-end insights and modeling solutions that accelerate Workforce & Bill Pay growth, efficiency, and customer satisfaction.
- Develop and execute the strategic vision for Workforce & Bill Pay data science, aligning data science priorities with GBSG’s business strategy and Intuit’s broader AI-driven expert platform goals.
- Partner with Workforce & Bill Pay product, engineering, and marketing leaders to deliver insights that improve customer acquisition, onboarding, retention, and lifetime value — balancing growth with risk management.
- Drive predictive and generative AI innovation, including applications for customer segmentation, transaction forecasting, fraud mitigation, and personalized experiences.
- Own and evolve measurement frameworks for key business and customer outcomes, including growth, profitability, risk, and customer experience metrics.
- Champion experimentation and data-driven decision-making, using hypothesis-driven analysis to uncover opportunities for step-change improvements in Workforce & Bill Pay conversion, authorization rates, and customer satisfaction.
- Serve as a thought partner to Workforce & Bill Pay and GBSG executives, influencing strategic decisions through compelling storytelling and actionable data narratives.
- Foster a culture of inclusion, innovation, and continuous improvement, empowering teams to deliver measurable business impact and grow their careers within a dynamic, fast-paced environment.
- Collaborate cross-functionally across Intuit’s ecosystem (Product, Customer Success, Risk, Finance, Marketing, and Design) to deliver shared success metrics and advance enterprise-wide data maturity.
Qualifications
- 12+ years of experience in data science, analytics, or related quantitative disciplines; 6+ years of people leadership experience, including leading other managers and senior ICs.
- Proven ability to define and execute data science strategies that deliver measurable business growth, revenue impact, and customer benefit.
- Deep experience with payments, fintech, or financial services, including familiarity with customer lifecycle analytics, transaction data, and risk modeling.
- Demonstrated expertise in supervised and unsupervised learning, experimentation design, and advanced statistical modeling.
- Track record of influencing senior executives and partnering across functions to align on shared business goals and KPIs.
- Strong background in data storytelling, translating complex quantitative findings into clear, actionable recommendations.
- Passion for developing talent, building high-performing, diverse teams, and advancing analytics maturity within large organizations.
- Extreme ownership mindset with operational rigor, adaptability, and a focus on business outcomes.
Technical Skills
- Proficiency in SQL, Python, R, and data visualization tools (Tableau, Qlik, Looker, or equivalent).
- Expertise in machine learning and predictive analytics, including experience with classification, regression, clustering, and embedding models.
- Strong understanding of data infrastructure and pipelines supporting large-scale data products.
- Familiarity with modern AI/ML techniques (e.g., LLMs, reinforcement learning, generative AI) and their application to customer and operational use cases.
- Experience working with cloud-based data ecosystems (AWS, Snowflake, or GCP).
Preferred Qualifications
- Experience leading analytics or data science teams in payments, fintech, or SaaS industries.
- Proven success in developing reusable analytics frameworks and tools that enable scale and self-service across functions.
- Familiarity with risk and compliance analytics, including fraud detection and loss prevention modeling.
- Demonstrated ability to accelerate innovation through AI and automation, translating insights into measurable product and customer outcomes.
- Strong understanding of financial performance metrics (revenue, margins, cost-to-serve) and ability to link data insights to business P&L.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $226,500 - 306,500
- Southern California $222,000 - 300,000
See all 24+ Data Science Manager at Intuit jobs
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Get Access To All JobsTips for Finding Data Science Manager Jobs at Intuit Jobs
Frame your ML leadership with product impact
Intuit's Data Science Manager roles emphasize driving measurable outcomes across products like TurboTax, QuickBooks, and Credit Karma. Tailor your resume to show how you've led teams that shipped models into production, not just conducted research.
Verify Intuit's LCA filings before your interview
Search the DOL's OFLC disclosure database for Intuit's Labor Condition Applications under Data Science Manager titles. This confirms prevailing wage tiers and gives you a realistic anchor for compensation expectations before any offer conversation.
Time your application around H-1B cap registration
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start date. Align your Intuit interview timeline so an offer can be confirmed before the registration window closes, avoiding a full year's delay.
Highlight cross-functional leadership for the role
Intuit's hiring for Data Science Managers consistently prioritizes candidates who partner with product and engineering, not those who operate within a pure analytics silo. Prepare examples of influencing roadmap decisions with data insights across business units.
Use Migrate Mate to surface open Intuit roles
Intuit posts Data Science Manager openings across multiple locations and teams at different times of year. Use Migrate Mate to filter specifically for Intuit roles that match your visa type, so you apply to openings actively seeking sponsored candidates.
Data Science Manager at Intuit jobs are hiring across the US. Find yours.
Find Data Science Manager at Intuit JobsFrequently Asked Questions
Does Intuit sponsor H-1B visas for Data Science Managers?
Yes, Intuit sponsors H-1B visas for Data Science Manager roles. Intuit is a large, established technology employer with a dedicated immigration program and outside counsel to manage filings. If you need H-1B sponsorship, confirm your timeline with the recruiter early, since cap-subject petitions must be filed well in advance of your intended start date.
How do I apply for Data Science Manager jobs at Intuit?
Apply directly through Intuit's careers portal or browse open roles filtered by visa type on Migrate Mate. Intuit's Data Science Manager roles typically require a completed application, a recruiter screen, a technical and leadership assessment, and several rounds of structured interviews covering analytical thinking, people management, and cross-functional collaboration. Tailoring your application to the specific product area strengthens your candidacy.
Which visa types does Intuit commonly use for Data Science Manager roles?
Intuit sponsors several visa categories for Data Science Manager positions, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students nearing graduation, and J-1 for eligible exchange visitors. For permanent residency, Intuit also supports EB-2 and EB-3 Green Card pathways, which are common for senior individual contributors and managers who have been with the company.
What qualifications does Intuit expect for a Data Science Manager?
Intuit typically expects a graduate degree in a quantitative field such as statistics, computer science, or applied mathematics, combined with several years of experience managing data science teams. Strong candidates demonstrate hands-on expertise with machine learning workflows and can show they have translated model outputs into product or business decisions. Experience within fintech or consumer technology is a meaningful differentiator in the hiring process.
How do I plan my timeline if I need visa sponsorship for an Intuit Data Science Manager role?
If you need a cap-subject H-1B, plan for USCIS registration in March and an October 1 start date at the earliest. For E-3 or TN visas, processing is faster and not lottery-dependent, which gives you more flexibility on start dates. Intuit's immigration team works with outside counsel, so once an offer is extended, initiate the sponsorship conversation immediately to avoid delays caused by LCA certification timelines at the DOL.
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