Security Incident Response Orchestration Lead
About The Position
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! The Security Incident Response Orchestration Lead is the senior technical authority responsible for setting the vision, architecture, and execution strategy for enterprise‑scale security automation. This role leads the design and evolution of orchestration capabilities across Splunk SOAR, Tines, and AI‑enabled platforms, ensuring scalable, resilient, and governed solutions aligned to enterprise security objectives. As a principal‑level contributor, this role drives cross‑organizational alignment across security operations, product management, engineering, and executive leadership to transform incident response through automation and intelligent decisioning. The role defines long‑term strategy, establishes engineering standards, and ensures measurable business outcomes through effective orchestration. This position is accountable for advancing agentic AI adoption in security operations, embedding governance, observability, and control mechanisms that enable safe, reliable, and value‑driven automation at scale.
Requirements
- 10+ years of experience in Security Operations, Incident Response, Detection Engineering, or Security Automation
- 5+ years of deep, hands on experience with Splunk SOAR (Phantom) in addition to hands on experience with Tines (required) in enterprise environments
- Proven track record of leading large‑scale SOAR or automation programs
- Deep expertise in incident response lifecycle, SOC operating models, and automation strategy
- Strong experience designing and scaling secure, reliable, and governed automation architectures
- Experience integrating SOAR platforms with enterprise systems (Microsoft Graph, CrowdStrike, Tanium, ServiceNow, etc.)
- Demonstrated ability to influence senior leadership and drive cross‑organizational initiatives
- Expertise in translating complex, ambiguous problems into clear architectural solutions and execution plans
Nice To Haves
- Prior experience operating at principal, staff, or architect level in cybersecurity engineering
- Experience defining or leading enterprise security architecture or SOC transformation initiatives
- Strong proficiency in Python, REST APIs, and modern authentication (OAuth, SAML, etc.)
- Experience with AI‑enabled security operations, including copilots, LLM integrations, or agent‑based systems
- Hands‑on or architectural experience with RAG frameworks, vector databases, and AI data platforms
- Familiarity with cloud security architectures across AWS, Azure, and Google Cloud
- Experience working with governance frameworks (MRM, audit, compliance, risk controls) in regulated environments
Responsibilities
- Serve as the enterprise technical authority for security orchestration across Splunk SOAR and Tines
- Define and evolve the long‑term architecture, strategy, and roadmap for SOAR and automation platforms
- Establish enterprise standards, reusable frameworks, and orchestration patterns to drive consistency and scale
- Lead end‑to‑end design authority for complex, cross‑platform automation initiatives
- Partner with Product Management and senior leadership to shape portfolio prioritization and strategic investments
- Drive intake governance model, ensuring automation demand is evaluated, prioritized, and aligned to measurable outcomes
- Define and track enterprise value metrics (MTTR reduction, analyst efficiency, operational risk reduction, automation coverage)
- Influence and guide multiple security domain teams (15+ teams) to adopt standardized automation patterns and best practices
- Provide technical leadership and mentorship to senior and principal engineers across SOAR platforms
- Act as escalation point for high‑risk, high‑complexity orchestration challenges and systemic platform issues
- Lead design and oversight of enterprise integrations, including but not limited to: Microsoft Graph / Entra ID / M365 Defender, CrowdStrike Falcon, Tanium, BloodHound, Anvilogic, ThreatQ, ServiceNow (Incidents, SecOps, CMDB, IR workflows)
- Drive platform reliability, resilience, and auditability standards across all automation implementations
- Define enterprise vision for AI‑driven security operations, including copilots, agents, and MCP‑aligned orchestration
- Lead design of AI‑assisted investigation, triage, and response workflows integrated with SOAR decisioning
- Establish and enforce enterprise AI governance framework, including: Human‑in‑the‑loop approval models and escalation paths, Deterministic fallback and fail‑safe execution patterns, Access controls, observability, logging, and auditability aligned with enterprise risk standards
- Define architectural patterns for AI‑integrated SOAR systems, including: Retrieval‑Augmented Generation (RAG) design and secure knowledge integration, Vector embedding strategies for semantic search and correlation, Scalable data pipelines for incident context, detections, and response history
- Evaluate and approve AI use cases based on operational value, risk, and production readiness
- Partner with governance, risk, and compliance teams to ensure safe, auditable deployment of AI capabilities
Benefits
- Access to paid time off
- Resources and support to our employees
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
