VP, Business Intelligence & Insights

Rakuten Rewards•San Mateo, CA

18d

About The Position

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.

Requirements

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.

Responsibilities

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
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.
Own enterprise clarity: metric definitions, performance interpretation, and decision-grade insights.
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.