H-1B Visa Senior Manager Business Intelligence Jobs
Senior Manager Business Intelligence roles qualify as H-1B visa specialty occupations under the computer and information systems manager classification. Employers filing LCAs for these positions must meet DOL prevailing wage requirements, and many large analytics-heavy organizations have established H-1B sponsorship pipelines for data leadership roles.
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As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
See all 1,612+ H-1B Visa Senior Manager Business Intelligence Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Manager Business Intelligence Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Senior Manager Business Intelligence
Align your credentials to SOC codes
Senior BI manager roles typically file under SOC 11-3021 (Computer and Information Systems Managers). Pull the O*NET profile for that code and confirm your resume explicitly reflects the required knowledge areas before applying.
Target employers with LCA filing history
Use Migrate Mate to filter for companies that have filed LCAs specifically for BI management roles. Past filing behavior is a reliable signal that an employer has an active sponsorship infrastructure, not just a willingness to consider it.
Verify prevailing wage before negotiating
Run your target metro area through the OFLC Wage Search before entering salary discussions. DOL sets four wage levels for this SOC code, and your offer must meet at least Level I to clear LCA certification.
Prepare a role-specific specialty occupation memo
USCIS scrutinizes management titles for specialty occupation status. Document how your BI manager role requires a specific bachelor's degree field, not just any business degree, using technical deliverables like data architecture decisions or machine learning pipeline oversight.
Clarify employer size before the offer stage
H-1B filing fees differ based on whether your employer has 25 or fewer full-time equivalent employees versus larger headcounts. Knowing this early helps you anticipate whether a smaller analytics firm may push back on covering those costs.
Negotiate timing around the cap registration window
H-1B cap registrations open each March for an October 1 start. If you're interviewing outside that window, discuss a cap-exempt employer or a delayed start date so your offer doesn't expire before your petition can be filed.
H-1B Visa Senior Manager Business Intelligence: Frequently Asked Questions
Does a Senior Manager Business Intelligence role qualify as a specialty occupation for H-1B purposes?
Yes, provided the role genuinely requires a bachelor's degree or higher in a specific technical field such as computer science, data science, statistics, or information systems. Generic business degrees alone may not satisfy USCIS requirements. The key is documenting that the managerial duties are inseparable from specialized technical expertise, such as designing BI architecture or directing machine learning workflows.
How do I find companies that actively sponsor H-1B visas for BI manager roles?
Migrate Mate surfaces employers with verified LCA filing history for business intelligence and data management roles, so you can filter specifically for companies that have gone through the sponsorship process before. This is more reliable than asking recruiters, who may overstate willingness to sponsor without understanding the actual filing requirements.
What wage level should I expect an employer to file at for a Senior Manager Business Intelligence position?
Senior manager titles with significant team leadership and strategic responsibility typically support a Level III or Level IV prevailing wage determination under the DOL's OFLC framework. Filing at Level I or II for a senior role can draw an RFE from USCIS questioning whether the position is genuinely senior. Confirm the wage level matches the actual job duties before your employer submits the LCA.
Can I stay in H-1B status if I'm promoted from a BI analyst role to a Senior Manager role at the same company?
A significant promotion that changes your SOC code or substantially alters your job duties requires your employer to file an amended H-1B petition before you start working in the new role. Moving from a hands-on analyst classification to a managerial SOC code is exactly the kind of material change that triggers this requirement. Confirm the amended filing with your employer's immigration counsel before the effective date.
How does the H-1B cap lottery affect my job search timeline for BI manager roles?
Cap-subject H-1B petitions are only filed after March lottery selection, with an October 1 start date. If you're on OPT or another status expiring before then, you'll need cap-gap coverage or a cap-exempt employer such as a university research division or nonprofit. Planning your job search six to nine months ahead of your status expiration gives you enough runway to align offers with the filing calendar.