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

LPL Financial; Austin (TX); On-site; USD 109,000 - 181,000; Full time

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.

Skills

Product management

Enterprise platform

APIs

Cloud architecture

Identity & authorization

Telemetry

AI/ML systems

Security product

Risk & governance

Tools

Non-human identity governance

Job 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.
• Prioritize enhancements based on risk, platform reliability, adoption, operational needs, and cost.
• Use production data, control testing, and business impact measures to guide movement from observation to enforcement, including rollout, rollback, and containment planning.
• Track control coverage, adoption, bypasses, exceptions, failures, and evidence quality, and communicate decisions and gaps to senior stakeholders and control functions.

What Are We Looking For?

We are seeking a product leader who is motivated to pursue greatness, consistently act with integrity, and is driven to help our clients succeed through secure and scalable technology solutions. The ideal candidate collaborates effectively to win together, fosters strong partnerships across technical and business teams, and helps create and share joy by enabling innovation while maintaining appropriate governance, risk management, and operational excellence.

Requirements

• 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.

Core Competencies

• Platform product management
• Technical systems thinking
• Security and risk judgment
• Cross‑functional leadership
• Clear executive communication

Preferences

• 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.

Pay Range

$108,665.00 - $181,177.00

Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

Company Overview

LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor‑mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.

Principals only. EOE.

Information on Interviews

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at [phone].

EAC 5.19.26