We are seeking an experienced Chief Business Analyst to lead the strategy, governance, and delivery of core auto finance domain data products, working closely with engineering, architecture, and business teams to enable a decentralized, cloud-native Data Mesh ecosystem.

Define, maintain, and prioritize the vision, strategy, and backlog for core auto finance domain data products, including Credit Application, Underwriting Decisions, Contract Booking, Loan Servicing Ledger, Collections & Delinquency, and Lease-End Remarketing Translate complex auto lending and leasing business rules, such as dealer reserve calculations, net payoff formulas, interest accrual, and vehicle depreciation, into technical requirements, user stories, and acceptance criteria Partner with engineers and architects to apply Domain-Driven Design principles, establishing bounded contexts and domain schemas that accurately reflect core lending operations Author, negotiate, and enforce formal Data Contracts between producing domain teams and downstream consumers, defining schema, semantic definitions, refresh rate, SLAs/SLOs, and operational fitness Define, monitor, and establish Service Level Indicators and Service Level Objectives for data freshness, accuracy, and completeness, and implement automated alerting and corrective protocols Monitor observability dashboards, including schema drift, latency, and null rates, and utilize telemetry from the Enterprise Data Catalog to ensure data product health Work within the Ford Credit SAFe 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 Partner 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 to help downstream consumers transition from legacy ETL/warehouse queries to self-serve Data Mesh consumption Ensure data products comply with federated governance guidelines, regulatory mandates such as FCRA, GLBA, and GDPR/CCPA, and security policies, including PII masking, data lineage tracking, and role-based access control 8+ years of experience as a business analyst or data product leader within financial services or auto finance domains Knowledge of Data Mesh, Domain-Driven Design, and Data Contracts concepts Expertise in modern data platforms such as Databricks, Snowflake, and dbt Proficiency in SQL and Database DDLs Familiarity with Kafka, Event-Driven Architecture, and Avro/JSON schemas and REST APIs Understanding of data governance and observability tools, including Enterprise Data Catalog and Observability Dashboards for monitoring latency, schema drift, and null rates Background in GCP services such as Cloud Run, Cloud Functions, Pub/Sub, and BigQuery Competency in Agile delivery tools and frameworks, including JIRA and SAFe

📌 Chief Business Analyst (Argentina)
🏢 EPAM Systems
📍 Argentina