Senior Analytics Manager, Payments and Identity

Scribd•San Francisco, CA

6d•$121,000 - $228,500•Hybrid

About The Position

At Scribd Inc. (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd Inc., we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve G oals, achieve R esults within their job responsibilities, contribute I nnovative ideas and solutions, and positively influence the broader T eam through collaboration and attitude. About the Team The Data & Analytics team ensures Scribd understands business performance and trends, and helps teams make better decisions with data.The Payments & Identity team focuses on the systems that let Scribd securely monetize and protect its products: how users authenticate and subscribe, how we process payments, how we prevent fraud and chargebacks, and how we meet compliance and online safety expectations. About the Role As Senior Analytics Manager, Payments & Identity, you will be the senior analytics leader for the platforms that power our subscription business. Your scope spans the full monetization and identity lifecycle, from subscription and billing outcomes to payment performance to account creation, authentication, and identity risk. You will define how we measure and optimize the systems behind millions of transactions and logins across markets, currencies, entities, and payment service providers. You will build the analytics foundations that make payments and identity data trustworthy and self-serve, and use those foundations to drive clear, data-backed decisions with product, engineering, finance, and executive stakeholders. About You You have 7+ years of experience in analytics and deep, hands-on domain expertise in payments and identity. That domain expertise is a must-have, non-negotiable requirement. You understand how payment service providers and identity systems work end to end, where data can be misleading, and how to design metrics and definitions that reflect reality. You care about accuracy, observability, and data quality as much as dashboards. You are comfortable going deep into schemas, event flows, and SQL, and you can zoom out to set direction, frame tradeoffs, and tell a concise story to senior audiences.

Requirements

7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end.
Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost.
Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others.
Strong technical toolkit: advanced SQL; experience with a programming language such as Python or R; and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog).
Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making.
Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis.
Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences.
Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations.

Responsibilities

Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes.
Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions.
Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad.
Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks.
Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience.
Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics.
Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting.
Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics.

Benefits

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products
Referral Bonuses
Book Benefit
Sabbaticals
Company-wide events
Team engagement budgets
Vacation & Personal Days
Paid Holidays (+ winter break)
Flexible Sick Time
Volunteer Day
Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace.
Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation.