OneMain Financial Jobs

Essential Duties and Responsibilities:

• Lead the engineering & architecture for resilient cloud-native, data-driven solutions with cutting edge technologies to meet the needs of our organization, users, and internal strategic partners.

• Lead strategy and operational delivery of business-critical platforms and services.

• Create new processes and structures to help drive delivery and operational excellence.

• Collaborate with product and engineering leadership to construct a product delivery strategy, reasonable roadmaps, and timelines.

• Build a highly available, scalable platform with the customer at the center.

• Understand design, architecture, and code across multiple technologies and provide technical guidance to team members.

• Leads and directs the work of other employees and has responsibility for personnel actions including; hiring, performance management, and termination. Supervision is often provided through a team of subordinate managers.

Job-Specific Essential Duties and Responsibilities:

Data Architecture & Migration Strategy

• Own the end-to-end technical architecture for complex data migration initiatives from legacy systems to modern data platforms.

• Define target-state data architectures including modern applications, data lakes, warehouses, lakehouse patterns, and real-time/streaming integrations.

• Design migration strategies (phased, domain-based, parallel run, cutover) based on data criticality, volume, and business risk.

• Ensure alignment with enterprise data architecture, integration standards, and cloud platform strategies.

Data Engineering & Technical Delivery

• Lead hands-on technical design and delivery of data ingestion, transformation, and persistence layers.

• Establish standards for ETL/ELT pipelines, orchestration, schema management, metadata, and error handling.

• Coordinate implementation across matrixed data engineers, application teams, platform engineers, QE, and operations.

• Ensure pipelines meet non-functional requirements for performance, scalability, resiliency, availability, and cost efficiency.

Data Quality, Validation & Governance

• Architect and govern data validation, reconciliation, and control frameworks for all migrations.

• Ensure data completeness, accuracy, consistency, and referential integrity across source and target systems.

• Implement data lineage, auditability, and traceability to support regulatory, financial, and operational needs.

• Partner with Security, Privacy, and Compliance teams to enforce data protection, encryption, masking, and access controls.

Program Execution & Delivery Accountability

• Manage technically complex, multi-stream data programs spanning multiple source systems and consumer platforms.

• Build and maintain detailed technical migration roadmaps, dependency maps, and milestone plans.

• Identify and mitigate risks related to data integrity, performance bottlenecks, schema drift, and operational readiness.

• Lead cutover execution, rollback planning, and post-migration stabilization.

Testing, Readiness & Production Operations

• Define and enforce test strategies for data migrations, including unit testing, data reconciliation testing, performance testing, and business validation.

• Partner with QE and UAT teams to ensure business data correctness and outcome validation.

• Own technical production readiness reviews and go-live criteria.

• Ensure operational monitoring, alerting, and incident response mechanisms are implemented prior to go-live.

Platform Enablement & Modern Data Capabilities

• Partner with Cloud and Platform teams to optimize infrastructure performance, reliability, and cost.

• Enable consumption-ready data models for analytics, reporting, APIs, and AI/ML workloads.

• Drive adoption of automation, Infrastructure-as-Code, and CI/CD for data pipelines.

Stakeholder & Cross-Functional Leadership

• Serve as the primary technical authority for data migration and data platform delivery.

• Communicate complex technical risks, tradeoffs, and architecture decisions in business-relevant terms.

• Coordinate closely with Business, Product, Architecture, Analytics, PMO, and Operations leaders.

Team Leadership & Engineering Excellence

• Lead and mentor data engineering managers, senior engineers, and technical leads.

• Establish engineering standards, design review practices, and technical governance.

• Build a culture of engineering rigor, automation, quality, and continuous improvement.

Success Measures:

• Successful delivery of complex data migrations with high data accuracy and integrity.

• Stable, scalable, and secure modern data platforms in production.

• Minimal post-migration defects and data issues.

• Improved trust in enterprise data for analytics and operations.

• High-performing data engineering teams delivering with technical rigor.

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Minimum Salary

$135,000

Maximum Salary

$250,000