Senior Business Intelligence Engineer Jobs in Palo Alto, CA
Senior Business Intelligence Engineer jobs in Palo Alto, California are in active demand, with employers like GEICO, Tesla, and Rivian among those hiring. Find a role that fits below and apply directly.
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Showing 5 of 43+ Senior Business Intelligence Engineer jobs
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
GEICO is on a multi-year journey to transform the insurance industry with
Artificial Intelligence.
The Team: The AI Modeling and Research team is part of the AI Org, which is Geico’s strategic investment with the mission to transform Geico into an AI-first company. AI org is led by Vice President, Head of AI. AI Org is in the Technology, Product and AI (TPA) org at Geico. TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico.
The Role Purpose: We are looking for a highly experienced Distinguished Engineer who has deep insights into ML modeling for build customer intelligence and recommendation engine. The candidate can lead major technical decisions on how the company can build cutting-edge products powered by industry leading recommendation technologies. The candidate should build close partnerships with product, engineering and operation leadership across the company. This role will report directly to the Senior Director of AI Modeling and Research.
Responsibilities:
To be successful in this role, you will need:
- Lead the strategy, design, and delivery of recommendation systems for major customer journeys, enabling smart recommendation capabilities for Geico’s businesses.
- Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.
- Architect scalable and reliable model ecosystems for all types of recommendation use cases for major customer journeys.
- Establish and drive best practices in ML modeling, data organization, model management, and observability.
- Help the leadership team mentor and grow a high-performing team of engineers focused on ML modeling for recommendation.
- Ensure compliance with data privacy and security standards.
- Continuously improving system performance, scalability, and user experience.
- Provide state-of-the-art consultation to the Head of AI and Chief AI Officer regarding recommendation technologies.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML. Advanced degree in Information Retrieval is a plus.
- 15+ years of hands-on experience in AI/ML in a production environment.
- 10+ years hands-on expertise in AI/ML for Recommendation.
- Successful leadership experience in leading the technical decisions for teams of size >= 15.
- Strong communication and collaboration skills across technical and non-technical teams.
- 5+ years experiences in building cross-functional partnerships with product and business.
Annual Salary
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Why Join GEICO?
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.
GEICO is on a multi-year journey to transform the insurance industry with
Artificial Intelligence.
The Team: The AI Modeling and Research team is part of the AI Org, which is Geico’s strategic investment with the mission to transform Geico into an AI-first company. AI org is led by Vice President, Head of AI. AI Org is in the Technology, Product and AI (TPA) org at Geico. TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico.
The Role Purpose: We are looking for a highly experienced Distinguished Engineer who has deep insights into ML modeling for build customer intelligence and recommendation engine. The candidate can lead major technical decisions on how the company can build cutting-edge products powered by industry leading recommendation technologies. The candidate should build close partnerships with product, engineering and operation leadership across the company. This role will report directly to the Senior Director of AI Modeling and Research.
Responsibilities:
To be successful in this role, you will need:
- Lead the strategy, design, and delivery of recommendation systems for major customer journeys, enabling smart recommendation capabilities for Geico’s businesses.
- Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.
- Architect scalable and reliable model ecosystems for all types of recommendation use cases for major customer journeys.
- Establish and drive best practices in ML modeling, data organization, model management, and observability.
- Help the leadership team mentor and grow a high-performing team of engineers focused on ML modeling for recommendation.
- Ensure compliance with data privacy and security standards.
- Continuously improving system performance, scalability, and user experience.
- Provide state-of-the-art consultation to the Head of AI and Chief AI Officer regarding recommendation technologies.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML. Advanced degree in Information Retrieval is a plus.
- 15+ years of hands-on experience in AI/ML in a production environment.
- 10+ years hands-on expertise in AI/ML for Recommendation.
- Successful leadership experience in leading the technical decisions for teams of size >= 15.
- Strong communication and collaboration skills across technical and non-technical teams.
- 5+ years experiences in building cross-functional partnerships with product and business.
Annual Salary
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
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Find JobsSenior Business Intelligence Engineer Job Market in Palo Alto
Who's Hiring
- GEICO9
- Tesla4
- Rivian4
- Pinterest4
- Snap4
Top Industries Hiring
- Technology & Software16
- Insurance9
- Manufacturing9
- Social Media4
- Retail2
Senior Business Intelligence Engineer Jobs in Palo Alto: Frequently Asked Questions
How many senior business intelligence engineer jobs are there in Palo Alto?
There are 43+ senior business intelligence engineer openings in Palo Alto, California on Migrate Mate as of June 2026. New positions post regularly as Palo Alto employers hire.
Which companies hire senior business intelligence engineers in Palo Alto?
Palo Alto senior business intelligence engineer roles are posted by GEICO, Tesla, and Rivian and others right now, based on current listings on Migrate Mate as of June 2026.
Are there remote senior business intelligence engineer jobs in Palo Alto?
Yes. About 14% of senior business intelligence engineer openings tied to Palo Alto are remote or hybrid as of June 2026. The rest are on-site roles based in and around Palo Alto.
Which industries hire the most senior business intelligence engineers in Palo Alto?
Palo Alto senior business intelligence engineer roles concentrate in Technology & Software, Insurance, and Manufacturing, based on current listings on Migrate Mate as of June 2026.
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