Data Product Manager Jobs in USA with Visa Sponsorship
Data Product Manager roles attract H-1B, O-1, and EB-2 NIW sponsorship because the position requires a specialized degree in computer science, data science, or a related field combined with technical product expertise that qualifies as a specialty occupation under USCIS standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Our client is seeking a Data Product Manager to advance a multi-year roadmap modernizing forecasting, financial reporting, and AI-driven insights. The role requires product management and data analytics skills, strong SQL, and experience with enterprise data models and BI tools. The contractor will drive clarity across cross-functional efforts, translate finance needs into actionable product artifacts, and support delivery of data governance, semantic layers, and NLQ capabilities. The work focuses on user research, scaling forecasting transformation, and enabling self-serve, AI-first reporting for internal finance users.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $80.00 to $90.00/hr. w2
Responsibilities
- Partner with product and engineering teams to define and document requirements for data governance, semantic layer development, and natural language querying.
- Conduct user research to map internal finance user journeys, identify pain points, and translate insights into roadmap priorities and product direction.
- Support delivery execution for cross-functional projects, including scaling forecasting transformation and AI-powered reporting capabilities.
- Translate finance business needs into product artifacts such as problem statements, user stories, and success metrics for engineering and design teams.
- Drive adoption of self-serve and AI-first capabilities by shaping intuitive experiences grounded in standardized finance data.
- Collaborate with Finance Ops, Data Engineering, and AI/ML partners to ensure consistent understanding of data assets and intended use.
EXPERIENCE REQUIREMENTS
- 3 to 5 years of experience in product management, data analytics, or related roles.
- Solid SQL proficiency and experience working with enterprise data models.
- Experience with dashboarding or reporting tools such as Tableau, Power BI, or Looker.
- Exceptional verbal communication skills to drive alignment across technical and non-technical audiences.
- Proven ability to support cross-functional teams in ambiguous or fast-moving environments.
- A customer-first mindset with a bias toward execution.
- Familiarity with finance data concepts or experience supporting Finance and FP&A teams (preferred).
- Experience with AI/ML-driven analytics and semantic layer architecture (preferred).
- Exposure to enterprise data platforms such as Snowflake, Superglue, Databricks, or Qlik (preferred).
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
JOB ID: JN -032026-105990
INTRODUCTION
Our client is seeking a Data Product Manager to advance a multi-year roadmap modernizing forecasting, financial reporting, and AI-driven insights. The role requires product management and data analytics skills, strong SQL, and experience with enterprise data models and BI tools. The contractor will drive clarity across cross-functional efforts, translate finance needs into actionable product artifacts, and support delivery of data governance, semantic layers, and NLQ capabilities. The work focuses on user research, scaling forecasting transformation, and enabling self-serve, AI-first reporting for internal finance users.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $80.00 to $90.00/hr. w2
Responsibilities
- Partner with product and engineering teams to define and document requirements for data governance, semantic layer development, and natural language querying.
- Conduct user research to map internal finance user journeys, identify pain points, and translate insights into roadmap priorities and product direction.
- Support delivery execution for cross-functional projects, including scaling forecasting transformation and AI-powered reporting capabilities.
- Translate finance business needs into product artifacts such as problem statements, user stories, and success metrics for engineering and design teams.
- Drive adoption of self-serve and AI-first capabilities by shaping intuitive experiences grounded in standardized finance data.
- Collaborate with Finance Ops, Data Engineering, and AI/ML partners to ensure consistent understanding of data assets and intended use.
EXPERIENCE REQUIREMENTS
- 3 to 5 years of experience in product management, data analytics, or related roles.
- Solid SQL proficiency and experience working with enterprise data models.
- Experience with dashboarding or reporting tools such as Tableau, Power BI, or Looker.
- Exceptional verbal communication skills to drive alignment across technical and non-technical audiences.
- Proven ability to support cross-functional teams in ambiguous or fast-moving environments.
- A customer-first mindset with a bias toward execution.
- Familiarity with finance data concepts or experience supporting Finance and FP&A teams (preferred).
- Experience with AI/ML-driven analytics and semantic layer architecture (preferred).
- Exposure to enterprise data platforms such as Snowflake, Superglue, Databricks, or Qlik (preferred).
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
JOB ID: JN -032026-105990
How to Get Visa Sponsorship as a Data Product Manager
Frame your degree-to-role alignment clearly
USCIS requires a direct connection between your degree field and the role. A data science, statistics, or computer science degree maps cleanly to Data Product Manager. An unrelated degree needs strong supplementary evidence like coursework transcripts or certifications.
Target companies with active H-1B filing histories
Employers who have sponsored Data Product Manager roles before understand the LCA process and internal compliance requirements. Prioritizing those employers dramatically reduces the risk of an offer being withdrawn after the sponsorship conversation begins.
Emphasize technical depth, not just product sense
USCIS adjudicators assess whether the role genuinely requires a specialized degree. Highlighting SQL proficiency, data pipeline ownership, ML model integration, or experimentation frameworks strengthens the specialty occupation argument in your employer's petition.
Raise sponsorship before the final interview round
Waiting until an offer is extended creates friction. Mentioning visa status during the recruiter screen gives employers time to confirm internal policy, involve HR, and avoid surprises that cause extended delays or offer rescissions late in the process.
Consider EB-2 NIW if you have an advanced degree
Data Product Managers with a master's degree and demonstrated impact on data infrastructure or AI products may qualify for the National Interest Waiver, which removes the employer sponsorship requirement and lets you self-petition for a green card.
Document cross-functional scope and business impact
Strong H-1B and O-1 petitions need evidence of specialized contribution. Performance reviews, product launch outcomes, patents, or published case studies showing how your data product decisions drove measurable results significantly strengthen your employer's filing.
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Get Access To All JobsFrequently Asked Questions
Does a Data Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the position normally requires a bachelor's degree or higher in a specific specialty. Data Product Manager roles that require computer science, data science, statistics, or information systems degrees generally qualify. Roles where any business degree satisfies the requirement face higher scrutiny, so job description language matters significantly when your employer prepares the petition.
What visa types do employers typically sponsor for Data Product Managers?
H-1B is the most common path for Data Product Managers at U.S. companies, though it requires winning the annual lottery. O-1A is an alternative for candidates with demonstrated exceptional achievement, such as patents, significant product launches, or industry recognition. Australians can pursue the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under the TN visa using computer systems analyst or engineer categories.
How competitive is H-1B sponsorship for this role compared to pure engineering roles?
Sponsorship approval rates for Data Product Manager roles are generally strong when the job description clearly requires a technical degree. The challenge is more at the employer level than USCIS level. Some companies have internal policies limiting sponsorship to engineering or data science individual contributors, so it's worth confirming a company's sponsorship history before investing heavily in the interview process. Migrate Mate filters for verified sponsoring employers to help narrow this down.
Can I qualify for a Data Product Manager role without a computer science degree?
It depends on the role and employer. USCIS allows equivalent qualifications through a combination of education and work experience, using a three-to-one rule where three years of relevant experience substitutes for one year of a bachelor's degree. A business or economics degree combined with substantial data analytics experience may suffice for some employers, but the H-1B petition becomes harder to defend without a technical undergraduate or graduate degree.
Does an MBA help or hurt my H-1B petition as a Data Product Manager?
An MBA alone can complicate an H-1B petition if it's your only degree, because it doesn't signal specialization in a technical field. However, an MBA combined with an undergraduate degree in computer science, engineering, or data science is a strong combination. The technical undergraduate degree anchors the specialty occupation argument while the MBA supports the product and business reasoning you'd present at interview.
What is the prevailing wage requirement for sponsored Data Product Manager jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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