We are seeking a Product Owner to join a leading automotive financial services provider undergoing a multi-year digital transformation to deliver best-in-class financial products through modern cloud-native systems. The organization has established a comprehensive transformation office with defined product organization, technical delivery systems, and architectural guidelines. The client has adopted a GCP cloud-first strategy and follows SAFe methodology for enterprise-scale agile delivery. This transformation impacts both commercial and retail customers across the U.S. and Canada, modernizing how millions of customers finance vehicles and related assets.

Define, maintain, and prioritize the vision, strategy, and backlog for core auto finance domain data products (e.g., Credit Application, Underwriting Decisions, Contract Booking, Loan Servicing Ledger, Collections & Delinquency, Lease-End Remarketing) Translate complex auto lending and leasing business rules (e.g., dealer reserve calculations, net payoff formulas, interest accrual, vehicle depreciation) into technical requirements, user stories, and acceptance criteria Partner with engineers and architects to apply Domain-Driven Design (DDD) principles, establishing bounded contexts and domain schemas that accurately reflect core lending operations Author, negotiate, and enforce formal Data Contracts (defining schema, semantic definitions, refresh rate, SLAs/SLOs, and operational fitness) between producing domain teams and downstream consumers Establish, monitor, and refine Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for data freshness, accuracy, and completeness, implementing automated alerting and corrective protocols Track observability dashboards (schema drift, latency, null rates)



and utilize telemetry from the Enterprise Data Catalog to ensure data product health Operate within the SAFe (Scaled Agile Framework) as an active agile team member Participate in sprint ceremonies, including sprint planning, backlog refinement, daily stand-ups, and release planning to align delivery iterations Co-author domain OKRs and key results, aligning product delivery metrics with strategic enterprise transformation outcomes Collaborate with engineering, architecture, BI, risk modeling, and financial reporting teams to migrate legacy mainframe pipelines to decentralized, cloud-native domain data products Facilitate enablement workshops for analysts and business users, helping downstream consumers transition from legacy ETL/warehouse queries to self-serve Data Mesh consumption Ensure data products comply with federated governance guidelines, regulatory mandates (FCRA, GLBA, GDPR/CCPA), and security policies, including PII masking, data lineage tracking, and role-based access control (RBAC) 5+ years of experience in product management, data management, or a related field Expertise in Data Mesh, Domain-Driven Design (DDD), and Data Contracts Proficiency in the modern data stack, including Databricks, Snowflake, and dbt Skills in SQL and Database DDLs Knowledge of Kafka, Event-Driven Architecture, and Avro/JSON schemas, along with familiarity with REST APIs Background in data governance and observability, including Enterprise Data Catalogs and observability dashboards (monitoring latency, schema drift, null rates) Understanding of GCP services such as Cloud Run, Cloud Functions, Pub/Sub, and BigQuery Competency in Jira and SAFe (Scaled Agile Framework) Familiarity with regulatory mandates, including FCRA, GLBA, and GDPR/CCPA Capability to translate complex auto lending and leasing business rules into technical requirements and user stories

📌 Product Owner (Argentina)
🏢 EPAM Systems
📍 Argentina