Data Manager Jobs at Intuit with Visa Sponsorship
Data Manager jobs at Intuit involve governing the pipelines, taxonomies, and quality frameworks that power products like TurboTax and QuickBooks. The company has a consistent track record of sponsoring international talent across multiple visa categories for data-focused roles, making it a realistic target for skilled candidates who need work authorization.
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Join the Intuit Customer Success Data Science & Analytics team as a Staff Data Scientist focused on the Voice of the Customer (VoC). In this role, you will define how customer feedback shapes strategy by connecting customer friction directly to churn, retention, revenue, and long-term growth.
You will operate as both a hands-on technical leader and a strategic advisor to senior leadership. You’ll shape VoC measurement and AI strategy, architect scalable modeling frameworks, and influence decisions at the director and VP level. You’ll partner closely with Customer Success, Customer Experience, Product, Engineering, and Data teams to embed advanced analytics and AI into critical business decisions.
This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.
Responsibilities
- Perform hands-on analysis and build advanced statistical and machine learning models that quantify the financial and operational impact of customer friction across segments and business units.
- Lead experimentation and causal inference frameworks to rigorously evaluate whether product and service improvements drive measurable customer and business outcomes.
- Translate ambiguous business problems into structured modeling approaches, defining metrics that connect VoC insights to churn, retention, revenue, cost-to-serve, and growth.
- Architect scalable NLP and AI solutions to extract signal from large-scale, multi-source customer feedback data (surveys, operational systems, contact drivers, behavioral signals).
- Develop impact sizing and prioritization frameworks that inform product roadmaps, investment decisions, and resource allocation.
- Partner with senior leaders across Customer Success, Customer Experience, Product and Strategy to embed data-driven decision-making into core operating mechanisms.
- Establish best practices for experimentation, model governance, reproducibility, and documentation; mentor and elevate other data scientists and analysts.
- Advance generative AI and automation capabilities to simplify workflows and scale insight generation across the organization.
Qualifications
- BS or MS degree in Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or a related quantitative field; PhD a plus.
- 8+ years of experience in data science, machine learning, or advanced analytics, including leading complex cross-functional initiatives with measurable business impact.
- Expert-level proficiency in SQL and Python (or R), with a strong track record of building scalable, production-ready, reproducible workflows.
- Deep expertise in statistical modeling, including regression, classification, clustering, ensemble methods, causal inference, and experimentation at scale.
- Strong experience applying NLP and machine learning techniques to large-scale unstructured data.
- Demonstrated ability to define metrics that shape business strategy and influence director- and VP-level stakeholders.
- Experience driving AI or advanced analytics initiatives end-to-end — from problem framing through experimentation, measurement, and operationalization.
- Familiarity with core VoC metrics such as PRS (Product Recommendation Score) and tNPS (Transactional Net Promoter Score).
- Proven ability to mentor others, raise technical standards, and influence cross-functional partners without direct authority.
- Strong communication skills with the ability to translate complex technical concepts into clear, compelling narratives that drive executive decision-making.
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: $185,500 - $251,000.
Overview
Join the Intuit Customer Success Data Science & Analytics team as a Staff Data Scientist focused on the Voice of the Customer (VoC). In this role, you will define how customer feedback shapes strategy by connecting customer friction directly to churn, retention, revenue, and long-term growth.
You will operate as both a hands-on technical leader and a strategic advisor to senior leadership. You’ll shape VoC measurement and AI strategy, architect scalable modeling frameworks, and influence decisions at the director and VP level. You’ll partner closely with Customer Success, Customer Experience, Product, Engineering, and Data teams to embed advanced analytics and AI into critical business decisions.
This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.
Responsibilities
- Perform hands-on analysis and build advanced statistical and machine learning models that quantify the financial and operational impact of customer friction across segments and business units.
- Lead experimentation and causal inference frameworks to rigorously evaluate whether product and service improvements drive measurable customer and business outcomes.
- Translate ambiguous business problems into structured modeling approaches, defining metrics that connect VoC insights to churn, retention, revenue, cost-to-serve, and growth.
- Architect scalable NLP and AI solutions to extract signal from large-scale, multi-source customer feedback data (surveys, operational systems, contact drivers, behavioral signals).
- Develop impact sizing and prioritization frameworks that inform product roadmaps, investment decisions, and resource allocation.
- Partner with senior leaders across Customer Success, Customer Experience, Product and Strategy to embed data-driven decision-making into core operating mechanisms.
- Establish best practices for experimentation, model governance, reproducibility, and documentation; mentor and elevate other data scientists and analysts.
- Advance generative AI and automation capabilities to simplify workflows and scale insight generation across the organization.
Qualifications
- BS or MS degree in Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or a related quantitative field; PhD a plus.
- 8+ years of experience in data science, machine learning, or advanced analytics, including leading complex cross-functional initiatives with measurable business impact.
- Expert-level proficiency in SQL and Python (or R), with a strong track record of building scalable, production-ready, reproducible workflows.
- Deep expertise in statistical modeling, including regression, classification, clustering, ensemble methods, causal inference, and experimentation at scale.
- Strong experience applying NLP and machine learning techniques to large-scale unstructured data.
- Demonstrated ability to define metrics that shape business strategy and influence director- and VP-level stakeholders.
- Experience driving AI or advanced analytics initiatives end-to-end — from problem framing through experimentation, measurement, and operationalization.
- Familiarity with core VoC metrics such as PRS (Product Recommendation Score) and tNPS (Transactional Net Promoter Score).
- Proven ability to mentor others, raise technical standards, and influence cross-functional partners without direct authority.
- Strong communication skills with the ability to translate complex technical concepts into clear, compelling narratives that drive executive decision-making.
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: $185,500 - $251,000.
See all Data Manager Jobs at Intuit
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Get Access To All JobsTips for Finding Data Manager Jobs at Intuit
Align your credentials to Intuit's data stack
Intuit's Data Manager roles emphasize metadata governance, data quality frameworks, and platforms like dbt or Databricks. Before applying, document hands-on experience with these tools in your resume so your background maps directly to their posted requirements.
Target Intuit's platform and product teams
Data Manager openings at Intuit cluster around product lines like TurboTax, QuickBooks, and Credit Karma. Filtering your search by business unit helps you identify teams with active data governance needs rather than applying to every open role.
Clarify your visa category before the offer stage
Intuit sponsors several visa types for data roles. Knowing whether you need H-1B cap registration, an E-3 application, or OPT extension lets you flag your timeline accurately during recruiter screens, before it becomes a late-stage complication.
Confirm LCA timing with your hiring team
For H-1B and E-3 transfers or new petitions, Intuit's immigration team must file a certified Labor Condition Application with the DOL before your I-129 can be submitted. Ask your recruiter early who coordinates this internally so nothing stalls after your offer.
Use Migrate Mate to surface Intuit's open Data Manager roles
Intuit posts data roles across multiple channels and they fill quickly. Use Migrate Mate to browse current Data Manager openings at Intuit filtered by visa sponsorship type, so you're applying to verified roles that match your specific work authorization situation.
Prepare for PERM documentation if pursuing a Green Card
Intuit has a track record of supporting employees through permanent residency. If that's your goal, organize your degree transcripts, foreign credential evaluations, and prior employment records early. PERM requires precise documentation that can take months to compile under employer deadlines.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Data Managers?
Yes, Intuit sponsors H-1B visas for Data Manager roles. Data management is a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or engineering, which satisfies USCIS's core eligibility criteria. Intuit has established immigration processes, so sponsorship for qualified candidates in this function is standard rather than exceptional.
Which visa types does Intuit commonly use for Data Manager roles?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3 for data-focused positions. Australian citizens targeting Data Manager roles should note the E-3 visa as a practical option with no lottery. Canadian and Mexican professionals with qualifying degrees may also be eligible for TN visa status under the USMCA.
What qualifications and experience does Intuit expect for Data Manager positions?
Intuit's Data Manager roles typically require a bachelor's degree or higher in computer science, data engineering, or a related discipline, combined with practical experience in data governance, metadata management, and pipeline quality. Familiarity with tools like dbt, Databricks, or Collibra is frequently referenced in postings. Roles tied to financial products like TurboTax or QuickBooks may also expect knowledge of regulatory data handling.
How do I apply for Data Manager jobs at Intuit?
You can apply directly through Intuit's careers site, but roles fill quickly and not all postings specify visa sponsorship availability upfront. To save time, browse Data Manager openings at Intuit on Migrate Mate, where listings are filtered by visa sponsorship type so you can confirm your work authorization category matches before investing in the application process.
How do I time my application around H-1B cap registration at Intuit?
USCIS opens H-1B cap registration each March for employment starting October 1. If you're not currently on an employer-sponsored visa or OPT, you'll need Intuit to register your petition during that window. Starting conversations with Intuit recruiters by January gives their immigration team enough runway to prepare your registration and supporting documentation before the annual deadline closes.