AVP, Agentic Platform Controls, Non-Human Identity & AI Security

LPL Financial

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Fort Mill, SCCharlotte, NCAustin, TX
Salary
$108,665–$181,177 / yr
Employment
Full-time
Posted
70 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $145k
$91k $276k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $167,500–$246,150 — the blue band above. At the midpoint, this role pays about $145k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About LPL Financial

LPL Financial is the largest independent broker-dealer in the United States, providing brokerage and investment advisory services to independent financial advisors and financial institutions. Industry: Financial Services & Wealth Management

LPL Financial currently has 101 open roles on FindRole.

Listed pay typically runs $122,673–$204,455 across 55 roles with salary data.

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View all roles at LPL Financial

At a glance

TL;DR · AVP, Agentic Platform Controls, Non-Human Identity & AI Security

JOB TITLE: AVP, Agentic Platform Controls, Non-Human Identity & AI Security The AVP owns the enterprise control plane for agentic technologies, non-human identities, and AI platforms. This role involves defining product strategy, governance, and operational controls to enable the secure adoption of autonomous systems and machine-operated technologies. You will build the foundational layer for identity, authorization, runtime controls, and risk management for teams developing agents, copilots, and multi-agent workflows. Key responsibilities include establishing measurable controls for registration, monitoring, and policy enforcement while managing the roadmap for data protection and output quality. Required expertise includes technical fluency in APIs, cloud and data architecture, identity and authorization, telemetry, and secure software delivery. You must translate security and regulatory requirements into platform capabilities, specifically addressing non-human identity governance, machine-to-machine authentication, and delegated authorization models within a regulated financial services context.

What you'll do

  • Own the enterprise control framework for AI platforms, agentic systems, and non-human identities.
  • Define and operationalize audience-specific controls, access models, and deployment standards for enterprise AI.
  • Establish measurable controls for registration, approval, monitoring, auditability, and policy enforcement.
  • Lead risk assessment and governance for emerging technologies like quantum computing and autonomous systems.
  • Own the strategy and roadmap for registries, runtime enforcement, data protection, and program governance.
  • Translate security and regulatory requirements into platform capabilities with clear acceptance criteria.
  • Partner with engineering teams on identity, authorization, gateways, APIs, and telemetry.
  • Track control coverage, adoption, and failures to communicate gaps to senior stakeholders.

What we're looking for

  • 7+ years of product management experience owning a shared technical platform, security product, 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 or machine learning systems.
  • Experience with identity and access management, non-human identity governance, machine-to-machine authentication, or enterprise platform security controls.
  • Experience translating security, risk, or policy requirements into specific product behavior and measurable tests.
  • Experience working with engineering, Cybersecurity, Risk, Compliance, Privacy, Legal, data, and business teams in a complex organization (preferred).
  • Experience with AI agents, model gateways, non-human identity, AI firewalls, or autonomous workflow technologies (preferred).
  • Experience in financial services or another regulated industry with supervision, records, privacy, and audit requirements (preferred).

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