VP II, Advisor AI Solutions - Product Management

LPL Financial•Fort Mill, SC

11d•$169,126 - $281,808

About The Position

Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly, our employees. If you're ready to lead with intention and discover what’s possible, LPL Financial invites you to apply today. Vice President II, Advisor AI Business Solutions LPL Financial is at an inflection point in how artificial intelligence supports financial advisors and the clients they serve. As Vice President II, Advisor AI Business Solutions, you will lead the product strategy and execution for advisor‑facing AI—turning emerging technology into practical, compliant, and scalable capabilities that improve advisor productivity, client outcomes, and enterprise value. This is a senior product leadership role within the AI Business Solutions team, the product and impact arm of LPL’s Chief Data and Analytics organization. You will shape how AI is built, bought, governed, and adopted across the advisor ecosystem, working at the intersection of product, technology, risk, and the field. Job Overview Reporting to the Senior Vice President of AI Business Solutions, this role owns the end‑to‑end lifecycle of advisor‑facing AI products, from opportunity identification and pilot design through enterprise rollout, adoption, and value realization. The scope includes AI capabilities LPL builds internally, third‑party tools the firm licenses or integrates, and guardrails that enable advisors to safely use or connect their own AI workflows. Success in this role requires strong product judgment, comfort operating in regulated environments, and the ability to lead through influence in a four‑in‑a‑box model with Technology, Business, Operations, Risk, InfoSec, and Privacy.

Requirements

Bachelor’s or master’s degree in Business, Computer Science, Information Systems, or a related field.
Ten or more years of product management experience, including AI or automation products with measurable business impact.
Demonstrated experience taking products from pilot through enterprise adoption at scale.
Three or more years leading build‑vs‑buy evaluations or managing third‑party vendors in enterprise environments.
Strong financial acumen, including business case development and ROI tracking.
Enterprise product leadership with accountability for outcomes.
Knowledge of agentic AI patterns and responsible AI practices in regulated environments.
Strong partnership with engineering, security, privacy, and compliance teams.
Experimentation discipline, including validation and stopping work that does not deliver value.
Executive‑level communication and influence in matrixed organizations.

Nice To Haves

Financial services or wealth management experience with understanding of advisor workflows.
Prior experience shipping AI in FINRA or SEC‑regulated contexts, including model risk and audit readiness.
Experience operating within a RAIC‑style AI governance framework.
Background working with field organizations on adoption and change management.
Experience governing citizen‑developer or advisor‑built tools that integrate with enterprise platforms.

Responsibilities

Define product strategy and roadmap for advisor‑facing AI across prospecting, financial planning, investment management, client servicing, and practice operations, prioritizing by advisor pain points, time savings, and client outcomes across IBD, RIA, hybrid, and institutional channels.
Own build, buy, or rent decisions for AI capabilities, evaluating internal development, licensed solutions, and API‑based access, documenting rationale and revisiting decisions as technology and market conditions evolve.
Lead third‑party AI evaluation and sanctioned access, owning the catalog of approved tools and advisor access pathways, in partnership with InfoSec, Privacy, Procurement, and Compliance to ensure identity federation, data loss prevention, NPI/PII protection, and FINRA‑compliant recordkeeping.
Define secure integration models for advisor‑built AI, establishing product guardrails and working with Platform Engineering and InfoSec on APIs, credential lifecycle management, monitoring, and access revocation.
Design and execute pilots, with clear hypotheses, success metrics, and exit criteria, and lead commercialization and phased enterprise rollout for successful solutions.
Own priority advisor journeys, including onboarding, discovery, ongoing reviews, rebalancing, advice delivery, and compliance, maintaining a product backlog tied directly to measurable business impact.
Partner closely with Technology, co‑defining product requirements, data contracts, evaluation telemetry, and service‑level objectives, and aligning with Platform Engineering on intelligence‑layer signals and the Strategic Data Foundation.
Ensure governance and compliance readiness, achieving RAIC approval for every AI product—built, licensed, or advisor‑introduced—and partnering with Data Science Solutions on risk‑tier routing, LLM evaluation, audit trails, and model oversight.
Drive adoption and value realization, leading rollout, training, and feedback loops with field leadership, tracking usage and outcomes, and reporting progress and impact to executive stakeholders.