Technical Product Manager, Data & MLOps

What you'll do

• Define and deliver the roadmap and technical requirements for enterprise data and analytics capabilities.
• Scope and prioritize product enhancements based on business impact and internal user needs.
• Gather technical requirements for data processing, storage, and model development use cases.
• Enforce data quality standards, governance policies, data lineage, and metadata management.
• Support the integration of MLOps workflows and data pipelines for model deployment and monitoring.
• Participate in defining RAG and LLM-based product capabilities.
• Collaborate with engineers to support model deployment pipelines on AWS and on-prem technologies.

What we're looking for

• Candidates must independently possess the eligibility to work in the United States at the date of hire.
• Completion of a bachelor’s degree in STEM or a related field is typically required.
• Master’s degree in STEM or related field (preferred).
• 5+ years of experience in product management, data management, or consulting with a proven record of high performance.
• 3+ years of experience with direct hands-on responsibility working with data teams, business stakeholders, and end-users.
• Hands-on experience writing, reviewing, and tuning SQL, Spark, and Python.
• Proficiency with software development methodologies such as Agile and experience working with Scrum teams and tools like Jira.
• Experience in financial institutions, particularly payments, identity, and fraud analytics (preferred).