Sr Data Product Manager, Banking & Money Movement

As Marqeta’s Senior Product Manager on the Data Platform team, you will lead key initiatives at the intersection of external reporting, partner integrations and banking & money movement (BMM) enablement. You will own and define the product requirements that power how BMM products are launched and supported through the Data Platform. You’ll collaborate closely with the BMM product team on a shared roadmap, and work with data scientists, platform engineers and cross functional stakeholders across Marqeta to drive technical execution.

We work Flexible First. This role can be performed remotely anywhere within the United States. We’d love for you to join us!

The Impact You'll Have

• Refine and maintain partner-facing data processes: Collaborate with engineering and data teams to improve the structure, delivery, and consistency of external-facing data.
• Define and manage reporting requirements: Gather detailed field-level requirements from internal and external stakeholders. Understand what data is needed, why it matters, and how it’s consumed.
• Support new integrations and product launches: Represent data early in the onboarding of financial institutions and in the rollout of new products, ensuring the right data is captured and represented in reporting outputs.
• Validate and triage data concerns: Serve as a first line of response for field-level data questions or inconsistencies raised by partners by reviewing examples, identifying gaps, and determining whether issues require engineering support.
• Ensure end-to-end data coverage: Coordinate across teams to ensure relevant transaction types, operational fields, and compliance needs are correctly represented in partner-facing outputs.

Who You Are

• 4+ years of experience in product management, data analytics, or technical program management, with a strong understanding of data platforms and external reporting.
• Hands-on proficiency with SQL (intermediate to advanced) with comfortable writing joins, filters, and validations across multiple tables.
• Working knowledge of Python (basic to intermediate)
• Familiarity with workflow orchestration tools such as Airflow, including understanding DAG dependencies and execution flows.
• Experience using version control systems like Git
• Strong understanding of data warehouse environments (e.g., Snowflake, dbt), and how structured data is transformed and queried at scale.
• Comfort using BI tools like Looker or Tableau to validate data outputs and triage partner-reported issues.
• Exceptional written and verbal communication skills and able to clearly articulate data requirements, inconsistencies, and logic to technical and non-technical stakeholders.
• Highly detail-oriented with a strong sense of ownership and a proactive approach to solving ambiguous problems.
• Collaborative team player who thrives in cross-functional environments involving product, engineering, data science, compliance, and external partners.

Nice-To-Haves

• Domain knowledge in payments, banking, or financial services, particularly related to transaction data, reconciliations, or regulatory reporting.
• Experience managing external partner-facing data requirements or delivering file-based integrations.
• Exposure to modern data stack tools such as Fivetran, dbt, Snowflake.
• Background in data or analytics engineering, or previous hands-on experience building or maintaining reporting pipelines.

Your Manager

• Rahul Rana - VP, Technology - BMM

Typical Process

• Application submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4, 45 min calls
• Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Fran