Six Figure Work

VP, Business Intelligence & Insights

Rakuten Rewards

Company websiterakuten.com (Rakuten Rewards, opens in new tab)

Base salary $178,767  to $333,720

Employer-published annual base salary, USD. Advertised base range in San Mateo, CA

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  • LocationSan Mateo, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Job Description:

Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community. 

Rakuten is the most rewarding way to shop, giving millions of members Cash Back when they buy from their favorite brands. As a leading shopping platform, Rakuten partners with thousands of top brands across apparel, beauty and wellness, grocery, travel, on-demand services, subscriptions, and dining, helping members save on everyday purchases. Since 1999, Rakuten members have earned more than $4.6 billion in Cash Back, making it the largest Cash Back platform of its kind. Learn more at Rakuten.com.

Rakuten Rewards is creating a new VP, Business Intelligence & Insights role to centralize analytics and elevate it into an enterprise-level insight and decision-support function reporting directly to the CEO Office.

As analytics platforms and AI increasingly automate reporting, competitive advantage comes from judgment, context, and clarity-not dashboards. This role exists to ensure Rakuten Rewards has a single source of truth for business performance and a senior leader who can translate data into actionable insights that shape strategy, prioritization, and investment decisions.

What You’ll Do

Lead Enterprise Data & Insights Strategy

  • Owns Rewards’ enterprise data and insights strategy for executive and operational decision-making (business-facing): defining how performance is measured, interpreted, and used to drive decisions
  • Establish a single, trusted performance narrative across Product, Marketing, Commercial, and Finance.
  • Define the enterprise analytics roadmap in close partnership with Data Platform and Engineering teams.

Elevate Executive Decision-Making

  • Serve as a trusted thought partner to the CEO and executive leadership team.
  • Translate complex data into clear insights, trade-offs, and recommendations that inform strategic decisions.
  • Surface risks, inconsistencies, and blind spots-bringing intellectual rigor and honesty to leadership discussions.

Build & Lead a Centralized Insights Organization

  • Unify analytics teams currently embedded across functions into a centralized Business Intelligence & Insights organization.
  • Set enterprise standards for metrics, definitions, and performance interpretation.
  • Build a high-performing team known for business acumen, credibility, and influence-not reporting volume.
  • Act as a key partner with Product, Engineering, Finance, Marketing, and Sales to ensure data reporting/forecasts and insights for company, merchants and buyers are relevant, timely, and decision oriented and meet their ongoing business needs
  • Examples for Areas of Support: While this role is enterprise in scope, examples of the types of decisions and analyses this organization supports include but not exhaustive:

Marketing & Growth

  • Marketing Mix Modeling (MMM) and incrementality analysis to inform marketing investment allocation
  • Customer LTV, cohort, and payback analysis to guide acquisition and retention strategy

Commercial & Revenue

  • Company-level and merchant-level revenue performance insights and forecasting
  • Sales quota and target-setting analytics grounded in historical performance and pipeline dynamics
  • Performance insights that inform prioritization across merchants, categories, and partnerships

AI-Enabled, Human-Led Analytics

  • Define the business requirements, use cases, and success criteria for AI-enabled analytics in close partnership with the Data & AI Platform organization.
  • Partner with Platform teams to ensure analytics tools and capabilities are aligned to enterprise insight needs and executive decision workflows.
  • Leverage AI and automation to accelerate insight generation, while ensuring human judgment, business context, and leadership perspective guide interpretation.
  • Ensure AI-powered analytics enhance decision quality and consistency—rather than creating parallel systems or fragmented interpretations.

How You’ll Work

  • You’ll provide embedded functional support with measurable service levels while maintaining a single enterprise standard for metrics, interpretation, and performance truth.
  • You’ll own enterprise clarity: metric definitions, performance interpretation, and decision-grade insights.
  • This role does not own functional execution (marketing spend, product delivery, sales operations).
  • Functional leaders retain accountability for outcomes, informed by insights produced by this organization.
  • In close partnership with the Data & AI Platform and Engineering organizations-who own architecture and delivery-this role defines the enterprise analytics roadmap required to deliver decision-grade insights at scale.

What Success Looks Like

  • Leadership aligns around a single version of performance truth.
  • Executive decisions are faster, clearer, and more confident.
  • Metrics are consistent, trusted, and directly tied to strategy.
  • Analytics is viewed as a strategic advantage, not a support function.

What We’re Looking For

  • 15+ years of senior leadership experience in analytics, business intelligence, or insights.
  • Proven track record of influencing C-level decisions through data-driven insight and judgment.
  • Experience centralizing or transforming analytics in complex, cross-functional organizations.
  • Strong understanding of modern analytics and AI-enabled platforms, paired with sharp business intuition.
  • Exceptional communicator with the confidence to challenge assumptions and elevate executive thinking.

This is an opportunity to define how Rakuten Rewards understands its business, makes decisions, and scales intelligently. If you are energized by turning data into clarity-and clarity into action-this role offers the scope and impact.

#LI-RM14


Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team


Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

As part of our Rakuten interview process, we encourage applicants to use their own words, rather than AI-generated content. Tell us your story in a way that's personal and authentic.


At the time of posting, Rakuten expects the base compensation for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for discretionary bonus, health, vision, dental insurance, 401k matching, PTO, Volunteer Time Off (VTO), and other employee benefits as the company implements.


USD $178,767.00 - $333,720.00 annually

Source: Rakuten Rewards on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($178,767) is above 42% of the 1,731 Data & ML roles in California listed on this site. Their median floor is $184,000; the middle half runs from $154,300 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 2 other live Rakuten Rewards roles with the nearest advertised base floor
Chart as a table
This range next to 2 other live Rakuten Rewards roles with the nearest advertised base floor
RolePublished base
VP, Business Intelligence & Insights (this listing)$178,767 - $333,720
Sr. Director, Growth Marketing$136,485 - $254,664
FP&A Director$113,157 - $211,032

Same $100K to $400K scale as every card. All Rakuten Rewards roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-27
Where this pay comes from

Location as the employer wrote it: San Mateo, California

USD $178,767.00 - $333,720.00 annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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