AVP, AI Platform Security & Agentic Governance

LPL Financial

Austin (TX)

On-site

USD 109,000 - 181,000

Full time

14 days+

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Benefits offered by this job

401K matching

Health benefits

Employee stock options

Paid time off

Volunteer time off

Job summary

LPL Financial Holdings Inc. is seeking an AVP to own the enterprise control plane for agentic technologies, AI platforms, and non‑human identities.

You will shape product strategy, governance, and operational controls to enable secure adoption of enterprise AI and autonomous systems across multiple teams. The role requires 7+ years of product management, deep security and AI knowledge, and strong leadership to drive risk-based, scalable controls enterprise‑wide.

Qualifications

7+ years of product management experience on a shared technical platform or enterprise capability.
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/ML systems.
Experience with identity and access management, non-human identity governance, or enterprise security controls.
Experience translating security, risk, or policy requirements into product behavior and measurable tests.

Responsibilities

Own the enterprise control framework for AI platforms, agentic systems, and emerging technology capabilities.
Define audience-specific controls, access models, and deployment standards for enterprise AI across employee, engineering, product, and business user populations.
Establish measurable controls for registration, approval, monitoring, auditability, and policy enforcement.
Lead governance of emerging technology risks including AI, autonomous systems, quantum computing, and cryptographic advances.
Own strategy and roadmap for controls spanning registries, runtime enforcement, data protection, and evidence.
Translate requirements into platform capabilities with clear acceptance criteria.
Partner with engineering on identity, authorization, gateways, data access, APIs, telemetry, resilience, and recovery.
Standardize processes for registering AI systems, authorizing actions, enforcing policy, and producing evidence.
Prioritize enhancements based on risk, reliability, adoption, and cost.
Track coverage, adoption, bypasses, and evidence quality; report gaps to stakeholders.