Manager, Analytics Engineering (Finance Data) at Affirm

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

Our Financial Systems team is looking for a Manager, Analytics Engineering to lead a team that turns complex finance data into reliable, governed, audit-ready reporting foundations. You will own end-to-end delivery of governed data models and the semantic layer that power reconciliations, close, and external reporting automation at Affirm. We're looking for someone who can lead, execute, and partner deeply across Accounting, Finance, and Data Engineering—operating as a hands-on technical leader to improve controls, data quality, and month-end outcomes at scale. The ideal candidate will deliver impact through scalable semantic layers and reporting solutions that elevate Finance function outcomes.

What You'll Do

Lead end-to-end delivery of finance data models that support reconciliations, journal entry preparation, and close workflows, with a focus on reliability, controls, and audit readiness.

Own the Financial Reporting semantic layer strategy and execution, including definition governance and adoption across reporting surfaces.

Drive migration and modernization of reconciliation and close-support reporting into standardized, automated outputs where appropriate.

Partner with Accounting and Finance stakeholders to translate close and audit requirements into durable data contracts, model specifications, and delivery roadmaps.

Build and evolve reporting data products that make financial insights easy to consume and hard to misinterpret, partnering with BI and Financial Reporting tools (for example Sigma and Workiva).

Build the foundations for AI-assisted finance analytics by enabling AI agents to safely access governed finance datasets (for example, through well-defined metrics, strong documentation, and permissioned datasets) to support self-service questions and reporting workflows.

Establish strong analytics engineering practices across the stack (testing, documentation and glossary stewardship, monitoring/alerting, code review, release discipline, and operational ownership).

What We Look For

Strong problem-solving and systems thinking: able to understand end-to-end accounting scenarios and translate them into well-structured data models that are clear, reliable, and easy to maintain.

Experience working in audit and controls-driven environments (for example SOX-relevant processes), with an understanding of how data quality, lineage, and evidence tie to financial reporting outcomes.

Ability to translate accounting and controls requirements into clear data contracts (inputs, transformations, definitions, ownership, and expected outputs) that can be implemented and operated reliably.

Self-starter and self-learner: takes ownership, ramps quickly in new domains, and prioritizes durable solutions over attachment to any specific tool or approach.

Strong experience delivering analytics engineering or data engineering initiatives end-to-end in a complex environment, including cross-functional alignment.

Ability to influence without authority across Accounting, Finance Systems, and Engineering to drive decisions, alignment, and delivery.

Proven ability to build reporting data products for business users (for example, curated datasets and governed metrics that power BI and external reporting workflows), partnering effectively with BI and financial reporting tooling teams.

Deep experience with modern data transformation and warehousing patterns (for example dbt and Snowflake), including production operations and reliability practices.

Base Pay Grade - O
Equity Grade - 12

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $215,000 - $265,000
USA base pay range (all other U.S. states) per year: $191,000 - $241,000

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents

Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses

Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge

ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Manager, Analytics Engineering (Finance Data)

Job Description