Senior Level Senior Manager Business Intelligence Jobs
Senior level senior manager business intelligence jobs place experienced professionals in charge of enterprise analytics strategy, data platform decisions, and the cross-functional teams that turn insights into business outcomes. Roles concentrate across Consulting & Professional Services, Technology & Software, and Manufacturing, with 20% remote or hybrid availability, and employers like Cornerstone Research, Amazon, and Snap hiring at this level now.
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DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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, WA, Seattle - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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, WA, Seattle - 130,400.00 - 176,300.00 USD annually
See All 37 Senior Level Senior Manager Business Intelligence Jobs
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Who's Hiring
Top Industries Hiring
- Consulting & Professional Services10
- Technology & Software9
- Manufacturing4
- Education2
- Banking & Financial Services2
Senior Level Senior Manager Business Intelligence Jobs: Frequently Asked Questions
How do I get a senior level senior manager business intelligence job?
Employers at this level look for candidates who have led BI teams, owned the full data lifecycle from ingestion to executive reporting, and made architecture decisions that scaled with the business. A strong edge comes from demonstrated experience aligning BI strategy with organizational goals, mentoring junior analysts, and influencing cross-functional stakeholders without direct authority. Proficiency in modern BI stacks and a history of measurable business impact matter more than credentials alone.
Which companies hire senior level senior manager business intelligences?
Companies hiring senior level senior manager business intelligences right now include Cornerstone Research, Amazon, and Snap, based on current listings on Migrate Mate as of September 2026. Hiring at this level is driven by large enterprises and data-mature organizations that need experienced leaders to own analytics infrastructure and guide data-driven decision-making at scale.
Are there remote senior level senior manager business intelligence jobs?
Yes, and the availability is substantial for experienced candidates. About 20% of senior level senior manager business intelligence openings are remote or hybrid as of September 2026, reflecting how established BI leaders are often trusted to manage distributed teams and deliver strategy without being on-site. Search current listings on Migrate Mate and filter by work setting to see what fits your situation.
What makes a senior manager business intelligence role senior level?
Senior level roles carry full ownership of BI strategy, not just execution. That means setting the data roadmap, selecting tools and platforms, governing data quality standards, and aligning analytics output with business leadership priorities. Senior professionals are also expected to mentor analysts and engineers, resolve cross-team dependencies, and present findings directly to executives, moving the function forward rather than responding to one-off requests.
Which industries hire the most senior level senior manager business intelligences?
Senior level senior manager business intelligence roles concentrate in Consulting & Professional Services, Technology & Software, and Manufacturing, based on current listings on Migrate Mate as of September 2026. These sectors generate complex, high-volume data environments where mature BI leadership is essential to converting raw information into competitive advantage and operational efficiency at an enterprise scale.