Early Warning Services, LLC

Early Warning Services, LLC

Sr. Lead Data Product Manager

Scottsdale, Arizona, USA · Senior · full-time

Sponsorship not specified$150k-$200kDetected 48 days ago
SQLDatabricksMachine LearningData EngineeringData ScienceData VisualizationMLOpsCybersecurityProduct ManagementProduct StrategyAgileJiraStakeholder ManagementCommunication

About the role

  • Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
  • Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
  • This position is ineligible for employment Visa sponsorship.

Responsibilities

  • As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
  • This role will be critical in enabling our future state data science and ML Ops platform and support the requirements to build out capabilities.
  • They will translate stakeholder (internal/external) needs into technical data, reporting and analytics requirements, and partner across technology teams to facilitate the development of data products and capabilities.
  • Lead requirements gathering, prioritization, and execution planning for the migration of data science workloads, models, and analytical processes to the enterprise ML Ops workbench.

Requirements

  • Strong data management background, including hands-on experience with data sourcing, data lineage, metadata, data quality, and data governance concepts.
  • Demonstrated ability to analyze data issues, write complex queries, and work directly with engineering teams to troubleshoot data pipelines, integrations, and platform-related challenges.
  • Experience managing product backlogs that balance business value, technical debt, operational risk, platform stability, and regulatory requirements.
  • Familiarity with modern data science and ML Ops platforms such as Domino Data Lab, Databricks, SageMaker, or similar environments.
  • Working knowledge of model development lifecycle, feature engineering, model deployment, and ML governance processes.
  • Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently.

Compensation

  • $150,000 - $200,000.
  • San Francisco, CA in USD per year is: $180,000 - $240,000.

Benefits

  • This leader drives the vision and requirements to scale and improve second- and third-party data, with an emphasis on quality, usability, and risk management.

Company info

  • At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more.

Visa & Work Authorization

  • This position is ineligible for employment Visa sponsorship.
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