Advance your potential – and reach your goals

We are seeking an experienced and dynamic Vice President – Director responsible for AI Operations, Incident Management, Problem Management and Level 2 Application Support.  This senior leader will be accountable for the strategy, execution, and continuous improvement of enterprise Incident Management, Problem Management, and Level 2 Application Support capabilities with a desired outcome of minimizing incidents and maximizing service availability. 

The ideal candidate will possess a strong technology operational leadership background and a passion for building modern, proactive operations organizations that leverage automation, observability, artificial intelligence, and data-driven decision-making.

This leader will drive the transformation from reactive support models toward predictive and preventative operations through the adoption of AI Ops, intelligent automation, and continuous service improvement practices.

This role will partner closely with Engineering, Infrastructure, Architecture, Cybersecurity, Product, and Business stakeholders to improve operational resilience, reduce customer-impacting incidents, accelerate restoration times, eliminate recurring issues, and enhance the overall customer and team member experience.

Responsibilities

Develop Strategy and Vision

·         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.

Lead Incident Management

·         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.

·         Ensure rapid and effective coordination across Technology teams during critical incidents.

·         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.

Lead Problem Management and Continuous Improvement

·         Own the enterprise Problem Management practice and associated governance.

·         Establish rigorous 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 overall platform reliability.

·         Develop reporting and executive dashboards that measure problem trends and remediation effectiveness.

·         Foster a blameless culture focused on prevention rather than reaction.

Lead Level 2 Application Support

·         Provide leadership for Level 2 Application Support teams responsible for diagnosing, troubleshooting, and restoring application services.

·         Establish support models, staffing strategies, and operational procedures aligned to business priorities and customer outcomes.

·         Ensure Standard Operating Procedures (SOPs), knowledge articles, runbooks, and troubleshooting guides remain current and effective.

·         Partner closely with Level 3 Engineering teams to improve supportability, logging, instrumentation, diagnostics, and operational readiness.

·         Ensure support teams are prepared to support new technologies, platforms, and application releases.

·         Drive consistency and excellence across all application support functions.

Advance AI Ops and Intelligent Automation

·         Develop and execute an enterprise AI Ops strategy that transforms incident detection, diagnosis, correlation, prediction, and remediation.

·         Leverage 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.

·         Continuously evaluate emerging AI, automation, and operational technologies to enhance operational resilience and effectiveness.

Collaboration and Stakeholder Engagement

·         Build strong 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.

·         Serve as a champion for operational excellence and customer-centric decision making throughout the organization.

Team Leadership and Organizational Development

·         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.

·         Foster an environment that encourages collaboration, ownership, and professional development.

·         Develop succession plans and talent strategies to ensure long-term organizational effectiveness.

·         Promote a culture of continuous improvement, automation, and operational excellence.

Requirements

·         Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Advanced degree preferred.

·         10+ years of progressive experience within Technology organizations supporting large-scale enterprise environments.

·         7+ years of leadership experience managing operational support, incident management, site reliability, production operations, or related functions.

·         Extensive experience leading enterprise Incident Management and Problem Management programs.

·         Demonstrated experience managing large-scale, customer-impacting incidents and operational recovery efforts.

·         Strong understanding of application architectures, cloud platforms, infrastructure technologies, and distributed systems.

·         Experience with observability, monitoring, event management, and operational intelligence platforms.

·         Proven experience implementing automation, orchestration, or AI-driven operational solutions.

·         Strong analytical, problem-solving, and decision-making skills.

·         Excellent communication, facilitation, and executive presentation skills.

·         Proven ability to influence and lead cross-functional teams in complex enterprise environments.

·         Experience establishing operational metrics, KPIs, SLOs, and continuous improvement programs.

·         Ability to balance strategic leadership with operational execution.

Preferred Qualifications

·         Experience with AI Ops platforms

·         Experience with observability and monitoring platforms such as Grafana, Elastic, OpenTelemetry, BigPanda, OpsRamp, or similar technologies.

·         Experience within highly regulated industries such as financial services.

·         Knowledge of cloud platforms including AWS, Azure, or Google Cloud Platform.