AVP, Agentic Platform Controls, Non-Human Identity & AI Security
Own the enterprise control plane for agentic technologies, non-human identities, and AI platforms—defining governance, identity/authorization models, and operational controls to enable secure adoption of AI and autonomous systems at scale.
- Compensation
- $108.7K–$181.2K / yr
- Location
- Fort Mill/Charlotte
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Not specified
- Posted
Skills
Must have
- 7+ years of product management experience, including ownership of a shared technical platform, security product, or enterprise capability used by multiple teams
- Experience owning product strategy, roadmap, delivery, adoption, and production performance
- Technical fluency in APIs, cloud and data architecture, identity and authorization, telemetry, secure software delivery, and AI or machine learning systems
- Experience with identity and access management, non-human identity governance, machine-to-machine authentication, delegated authorization models, or enterprise platform security controls
- Experience translating security, risk, or policy requirements into specific product behavior and measurable tests
Nice to have
- Experience working with engineering, Cybersecurity, Risk, Compliance, Privacy, Legal, data, and business teams in a complex organization
- Strong written and verbal communication skills with the ability to explain technical decisions and control gaps to senior leaders
- Experience with AI agents, model gateways, agent and tool registries, non-human identity, MCP, AI firewalls, model evaluation, or adversarial testing
- Experience with agentic platforms, Microsoft Copilot, Google Agent Spaces, enterprise AI enablement platforms, or autonomous workflow technologies
- Experience moving platform controls from observation to staged enforcement
- Experience in financial services or another regulated industry with supervision, records, privacy, and audit requirements
Full description
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
The AVP owns the enterprise control plane for agentic technologies, non-human identities, AI platforms, and emerging technologies. This leader is responsible for product strategy, governance, and operational controls that enable secure adoption of enterprise AI, autonomous systems, and future machine-operated technologies.
The platform serves teams building agents, copilots, model integrations, tools, data connections, and multi-agent workflows. The role provides the foundational layer of identity, authorization, runtime controls, governance, and risk management that enables agent development teams to safely build and scale solutions across the enterprise.
Cybersecurity and other control functions retain policy ownership and specialist responsibilities. The AVP owns the product decisions, capabilities, and operating model that make controls measurable, enforceable, and scalable.
Responsibilities:
- Own the enterprise control framework for AI platforms, agentic systems, non-human identities, and emerging technology capabilities.
- Define and operationalize audience-specific controls, access models, and deployment standards for enterprise AI and agentic platforms across employee, engineering, product, and business user populations.
- Establish measurable controls covering registration, approval, monitoring, auditability, exception management, and policy enforcement.
- Lead assessment and governance of emerging technology risks including artificial intelligence, autonomous systems, quantum computing, cryptographic advancements, digital assets, and future technology domains.
- Own the strategy and roadmap for controls spanning registries, runtime enforcement, data protection, output quality, evidence, containment, and program governance.
- Define control ownership, covered systems, expected behavior, failure response, dependencies, exceptions, and effectiveness measures.
- Translate security, regulatory, and operational requirements into platform capabilities with clear acceptance criteria.
- Partner with engineering and architecture teams on identity, authorization, gateways, data access, APIs, telemetry, resilience, and recovery.
- Establish standardized processes for registering AI systems, authorizing actions, enforcing policy, recording activity, and producing evidence.