Top Tech Jobs & Startup Jobs in Charlotte, NC

Own and mature Adobe Journey Optimizer within Vanguard’s Financial Advisor Services marketing technology ecosystem. Lead onboarding, configuration, adoption, use-case development, operational standards, troubleshooting, and cross-functional consulting. Connect AJO with Marketo, Real-Time CDP, Target, tag management, Web SDK, and Customer Journey Analytics while helping marketers and engineering partners deliver measurable personalization, experimentation, and journey-orchestration outcomes.

Develops and executes executive thought leadership and communications strategies for the Head of Enterprise Strategy & Transformation. Advises senior leaders on positioning, messaging, reputation, stakeholder engagement, and emerging issues. Identifies speaking, media, authored-content, and partnership opportunities; translates enterprise strategy into compelling narratives; and builds relationships with external influencers, associations, media, academia, and think tanks.

Design and deliver enterprise AI solutions using agentic AI, LLMs, NLP, RAG, multi-agent systems, and tool orchestration. Partner with stakeholders to identify high-value use cases, define success metrics, and focus on business outcomes. Build scalable, reliable, explainable, and governed systems with evaluation, monitoring, and guardrails. Advise teams on responsible AI adoption, contribute to strategic best practices, and mentor colleagues.

Leads Vanguard’s enterprise fraud product strategy and Shared Services organization, overseeing product management, governance, technology integration, program capabilities, communications, and engineering partnerships. Defines roadmaps, scalable fraud capabilities, platform strategy, operating controls, and measurable outcomes across prevention, detection, response, and recovery. Leads senior managers and a growing multidisciplinary team while driving modernization through artificial intelligence, automation, advanced analytics, and enterprise integrations.

Leads a cloud security posture management team responsible for securing AWS, Azure, and GCP environments. Oversees CSPM and CNAPP capabilities, security automation, governance controls, vulnerability remediation, risk assessment, and shift-left DevSecOps practices. Develops technical talent, establishes remediation SLAs and security guardrails, measures program effectiveness, and collaborates with engineering, architecture, security operations, and business stakeholders to reduce cloud risk and improve security outcomes.

Lead enterprise endpoint security deployments, integrations, upgrades, platform lifecycle management, automation, monitoring, incident response, vulnerability remediation, and operational resilience. Act as a subject matter expert and technical leader, developing scalable endpoint security solutions, guiding architecture, partnering with stakeholders, and supporting strategy, governance, and service ownership across a large enterprise.

Define and implement application security strategy, secure SDLC practices, security controls, and architecture standards. Assess and remediate vulnerabilities across applications, APIs, containers, cloud, and CI/CD environments. Configure security tools, automate controls, conduct threat and risk assessments, provide secure coding guidance, develop metrics, and support security governance and training for development and cloud engineering teams.

Conducts qualitative and quantitative UX research, usability testing, heuristic evaluations, user interviews, and contextual inquiries for web and mobile applications. Analyzes and presents findings, recommends improvements, builds stakeholder buy-in, advances usability practices, and mentors junior staff.

Lead enterprise-level network infrastructure architecture, shaping strategy, driving design and planning, providing governance and expertise across IT systems, and ensuring scalability and security.

Leads architecture, development, deployment, scalability, reliability, and operational excellence for enterprise AI and machine learning platforms. Transforms AI research prototypes into production solutions involving LLMs, agentic systems, responsible AI, and advanced inference. Establishes MLOps, observability, governance, incident response, and reliability practices while mentoring engineers and serving as a senior technical escalation point for complex production challenges.