Practice Group Manager overseeing support and operations in mental healthcare offices across Georgia. Ensuring clinical and financial objectives are met while cultivating team performance.
About the role
- Credit Risk Automation Manager at U.S. Bank supporting AI and automation in credit processes. Leading transformation initiatives for modernizing credit risk operations and data systems.
Responsibilities
- Lead end‑to‑end process re‑engineering to simplify, standardise, and automate Credit Risk activities.
- Identify high‑value credit processes suitable for AI, machine learning, natural language tools, and automation.
- Partner with Credit Risk SMEs to transform manual or legacy workflows into digital, data‑driven processes.
- Support the design and implementation of modern credit data pipelines using tools such as Spark, Snowflake, and optimised relational databases.
- Implement automated reconciliation solutions to ensure data accuracy and alignment with Finance, Regulatory Reporting, and upstream data sources.
- Support CRM in improving Credit Risk reporting by using modern data platforms, AI‑enabled analytics, and standard data models.
- Replace manual reporting with AI‑supported data preparation and reliable, scalable reporting pipelines.
- Work closely with Risk teams, business areas, Technology, and Data Governance.
- Review and streamline technology platforms across U.S. and European entities to bring credit data together.
- Monitor progress across all transformation activities and flag any delivery risks when needed.
Requirements
- Proven experience in Automation (8+ Years)
- Transformation, Data Strategy, or Risk Management roles within a regulated environment.
- Hands-on familiarity with modern data stack tools (e.g. Apache Spark, Snowflake, Python, SQL)
- Analytics solutions (e.g., Tableau, Power BI, SAS)
- AI technologies (machine learning, natural language processing, automation/agentic tools).
- Understanding of data management disciplines: data quality, lineage, governance, metadata, and reporting architecture.
- Demonstrated experience identifying or implementing AI-enabled capabilities.
- Understanding of AI governance concepts (e.g. explainability, monitoring, fairness).
- Experience in cross-functional environments, working effectively with Technology, Data, Risk, and Business teams.
- Strong self-directed problem‑solving abilities.
- Excellent written and verbal communication skills.
- Highly organised, self-motivated, and able to manage competing priorities and complex project demands.
Benefits
- Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
- Performance-based incentives for eligible employees (as defined by relevant plan rules).
- Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).
- Continuous development opportunities including training, education support, and career progression pathways.
- Employee recognition programs that celebrate achievements and milestones for all.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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