O

OneMain Financial

Offers secured and unsecured personal loans

Vice President Director of AI Ops, Incident and Problem Management

IT OperationsConfirmed live in the last 24 hours
Full-timeBaltimore, MD, USA$180k - $210kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required.
  • At least 10 years of progressive experience within Technology organizations supporting large-scale enterprise environments is required.
  • At least 7 years of leadership experience managing operational support, incident management, site reliability, production operations, or related functions is required.
  • Extensive experience leading enterprise Incident Management and Problem Management programs is required.
  • Demonstrated experience managing large-scale, customer-impacting incidents and operational recovery efforts is required.
  • Strong understanding of application architectures, cloud platforms, infrastructure technologies, and distributed systems is required.
  • Experience with observability, monitoring, event management, and operational intelligence platforms is required.
  • Proven experience implementing automation, orchestration, or AI-driven operational solutions is required.
  • Experience establishing operational metrics, key performance indicators (KPIs), service-level objectives (SLOs), and continuous improvement programs is required.
  • Ability to balance strategic leadership with operational execution is required.

Responsibilities

  • Define and execute the enterprise strategy and roadmap for Incident Management, Problem Management, and Level 2 Application Support.
  • Establish a long-term vision for operational excellence, resiliency, service restoration, and issue prevention.
  • Develop and maintain organizational goals, key performance indicators (KPIs), and operational maturity targets.
  • Ensure alignment between operational priorities, business objectives, customer experience goals, and technology strategy.
  • Provide executive leadership and governance for major incident management across the enterprise.
  • Establish and continuously improve incident response processes, escalation procedures, communication standards, and operational playbooks.
  • Coordinate Technology teams during critical incidents to support rapid and effective response.
  • Drive improvements in Mean Time to Detect (MTTD), Mean Time to Restore Service (MTTR), customer impact measurement, and incident communications.
  • Partner with Observability, Monitoring, Infrastructure, and Application teams to improve detection, diagnosis, and recovery capabilities.
  • Lead executive communications during significant customer- or business-impacting events.
  • Own the enterprise Problem Management practice and associated governance.
  • Establish root cause analysis standards and ensure corrective actions are identified, prioritized, and completed.
  • Analyze operational trends, recurring incidents, and systemic risks to identify opportunities for stability improvements.
  • Drive initiatives that eliminate recurring issues, reduce operational toil, and improve platform reliability.
  • Develop reporting and executive dashboards that measure problem trends and remediation effectiveness.
  • Lead Level 2 Application Support teams responsible for diagnosing, troubleshooting, and restoring application services.
  • Establish support models, staffing strategies, and operational procedures aligned with business priorities and customer outcomes.
  • Ensure Standard Operating Procedures (SOPs), knowledge articles, runbooks, and troubleshooting guides remain current and effective.
  • Partner with Level 3 Engineering teams to improve supportability, logging, instrumentation, diagnostics, and operational readiness.
  • Prepare support teams to support new technologies, platforms, and application releases.
  • Drive consistency and excellence across application support functions.
  • Develop and execute an enterprise AI Ops strategy to transform incident detection, diagnosis, correlation, prediction, and remediation.
  • Use machine learning, event correlation, predictive analytics, and automation technologies to identify operational issues before customer impact occurs.
  • Drive adoption of intelligent alerting, automated triage, automated root cause identification, and self-healing capabilities.
  • Partner with Observability, Engineering, and Data teams to build operational intelligence platforms that reduce noise, improve signal quality, and accelerate resolution.
  • Identify opportunities to automate repetitive support, incident response, and problem management activities through workflows, orchestration, scripting, and AI-enabled solutions.
  • Establish measurable targets for automation adoption, operational efficiency, incident reduction, and support productivity improvements.
  • Evaluate emerging AI, automation, and operational technologies to enhance operational resilience and effectiveness.
  • Build partnerships across Engineering, Infrastructure, Architecture, Cybersecurity, Product, Risk, Compliance, and Operations organizations.
  • Influence operational priorities and investment decisions through data-driven recommendations.
  • Lead governance forums focused on operational stability, incident trends, problem remediation, and service performance.
  • Present operational performance, risk assessments, and strategic recommendations to senior executives and stakeholders.
  • Champion operational excellence and customer-centric decision making throughout the organization.
  • Lead, develop, and mentor leaders and teams responsible for Incident Management, Problem Management, and Level 2 Application Support.
  • Build a high-performing organization focused on accountability, innovation, operational rigor, and continuous learning.
  • Develop succession plans and talent strategies to ensure long-term organizational effectiveness.
  • Promote a culture of continuous improvement, automation, and operational excellence.

Desired Qualifications

  • An advanced degree is preferred.
  • Experience with AI Ops platforms is preferred.
  • Experience with observability and monitoring platforms such as Grafana, Elastic, OpenTelemetry, BigPanda, OpsRamp, or similar technologies is preferred.
  • Experience within highly regulated industries such as financial services is preferred.
  • Knowledge of cloud platforms including AWS, Azure, or Google Cloud Platform is preferred.

About the Company

OneMain Financial

Offers secured and unsecured personal loans

OneMain Financial provides personal loans to individuals in the United States, including those with limited access to traditional banking. It offers secured loans backed by collateral and unsecured loans, used for debt consolidation, home improvements, and other expenses. Revenue comes from interest and fees, and funding is supported by a securitization program called Springleaf Funding Trust (SLFT), which bundles loans and sells them as securities to investors. The company differentiates itself by serving borrowers with a wide range of credit profiles through a broad branch network and securitization-based funding, aiming to offer accessible, personalized financial solutions and grow loan originations and capital.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Baltimore, MD
Founded
1912

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