Senior Director, Head of Data Analytics & Insights
Role details
Job location
Tech stack
Job description
At PayPal, we are reinventing the way data and insights power the business decisions that drive growth for merchants and partners. We're seeking a Sr. Director, Head of Quantitative Analytics & Insights to lead a multi-year evolution of our analytics function within the Global Revenue Operations & Enablement division, from fragmented dashboards and manual reporting to a future where insights are automated, intelligent, and embedded directly into how decisions are made., * Define and champion the enterprise-wide analytics vision and strategy.
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Influence executive leadership on leveraging analytics for business transformation.
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Oversee governance, compliance, and scalability of analytics solutions.
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Drive cross-functional alignment to embed analytics into organizational culture.
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Measure and communicate the business impact of analytics initiatives at the executive level., This is not a traditional analytics leadership role. You will both lay out the future vision of the analytics operating model while managing and standardizing the day-to-day operations of a large analytics team.
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Establish a new operating model for insight consumption, one that includes proactive anomaly detection, narrative-driven reporting, and natural language insights delivered directly into tools like Slack and email.
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Ability to serve as a strategic thought partner to senior Global Markets leadership, providing clear, data-driven guidance that informs decision-making
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Lead the analytics team composed of analytics professionals structured across several pods, ensuring that stakeholders like product managers and commercial leads, all the way up to business heads at the EVP level have access to high-quality, actionable insights that reflect the true state of the business.
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Oversee and deliverexecutive-grade OKR tracking and reporting, supporting high-visibility business rhythms with precision and speed. Understanding the business is just as important as your technical chops.
What You'll Own (Responsibilities):
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Lead the transformation of our analytics operating model from static dashboards to a layered system of trusted data, shared metrics, and intelligent insight delivery.
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Build and enforce a dashboard hierarchy (single - double - triple click) that ties every metric to strategic OKRs and downstream actionability. Help guide the rationalization of dashboards and reporting assets to promote clarity and efficient insight consumption
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Elevate our OKR reporting practice, initially through refined scripting, source alignment, and PowerPoint automation, while architecting the shift to dynamic BI delivery (e.g., Looker Pulse, Salesforce CRMA, ReactJS, Slack-native reporting, AI-generated voiceovers).
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Experience contributing to data governance practices and supporting consistent metric definitions to ensure accuracy and reliability of core business reporting.
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Embed insights into the flow of work by partnering with LLM engineers and platform leads to drive Slack, email, and executive summary integrations.
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Oversee three key pillars:
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Merchant and Commercial Analytics: responsible for end-to-end analysis of transaction activity, payment volumes, revenue, and margin across segments, channels, and products, delivering insight into business performance, partner impact, and monetization levers that drive growth and profitability.
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Data & Analytics Enablement: Senior-level liaison into PayPal's broader data infrastructure, tooling, and governance ecosystem.
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Pipeline and Forecast Management: responsible for accurate pipeline and forecast aggregation from multiple data sources and platforms. Provide data backed insights on conversion trends, productivity and other KPIs. Build analytics models to enhance accuracy of forecasts for New Sales and Portfolio performance.
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Partner cross-functionally with Sales, channel, compensation, business ops, finance, data science and engineering, and AI platform teams to influence tool adoption and insight accessibility.
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Be a cultural driver for how we use data: shifting the organization away from "pulling dashboards" to "being alerted when it matters.", The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Requirements
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12+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., 15+ years of experience in business analytics, data strategy, or data transformation roles, with a proven ability to lead through ambiguity.
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Familiarity with the Google Analytics product suite (GCP, Looker Studio Pro / Looker Core, Tableau, BQ, etc.) as well as integrations with various LLMs or other productivity tools (i.e. Slack, Teams, etc.) and how they support semantic modeling, real-time dashboards, and narrative reporting.
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Familiarity with Salesforce (ideally) or other CRM systems and how to make these CRM systems work well within a broader data environment (e.g., connecting Salesforce to GCP)
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Strong executive communication and storytelling skills, you can translate noise into clarity for stakeholders at every level.
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Experience leading diverse multi-functional teams across product analytics, GTM/commercial analytics, and infrastructure liaison roles that span across time zones.
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Demonstrated ability to evolve how insights are consumed-from manual PowerPoint decks to live dashboards, Slack alerts, and AI-generated summaries.
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Comfortable collaborating with LLM engineers, data scientists, and platform teams, even if not building models directly.
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High operational rigor: you bring structure and focus to dashboard sprawl, redundant queries, and fuzzy stakeholder asks.
Preferred Qualifications
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Experience leading analytics or reporting teams in fintech, payments, or enterprise-scale SaaS environments.
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Familiarity with OKR methodologies and executive-level reporting cycles.
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Exposure to AI-enhanced BI tools such as Looker Core, Looker Studio Pro, with GPT integration.
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Experience working with distributed analytics teams, including offshore (e.g., India) collaboration models., If you're a builder, operator, and storyteller with strong data science underpinning, who's excited by the challenge of scaling and modernizing a full stack data and analytics function in a global enterprise, we'd love to hear from you.
Benefits & conditions
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most.We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.