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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.
Job Overview:
The Vice President II, Advisor Solutions will lead product management for advisor-facing AI experiences within the AI Business Solutions (ABS) team; the product management and business impact arm of the CDAO organization. This role owns the full lifecycle of advisor-facing AI products, from opportunity identification and solution validation through pilot delivery and enterprise adoption.
Reporting to the SVP of AI Business Solutions, this leader will define advisor chat and agentic experiences, evaluate and orchestrate third-party AI products, and drive the commercialization of AI capabilities that deliver measurable business impact. The role operates in a four-in-a-box model with Technology, Business, and Operations and Risk co-designing product definitions, including data contracts, evaluation evidence, and governance documentation, for engineering to implement at scale and strategic prioritization to accelerate business outcomes.
This leader will partner closely with product leaders (Home Office Solutions, Data Science Solutions, Business Reporting & Analytics) and cross-functional teams, including Technology, Operations and Risk, and the Business to ensure every AI product is strategically aligned, responsibly governed, and delivers tangible advisor value.
This hybrid role is required to sit out of our Fort Mill SC or NYC hub office at least 3 days a week onsite.
Responsibilities:
- Advisor Chat & Agent Experiences: Define product vision and roadmap for advisor-facing AI capabilities spanning prospecting, financial planning, investment management, client servicing, and practice operations. Translate advisor pain points into AI-powered solutions that reduce manual effort and improve client outcomes.
- Third-Party AI Evaluation & Orchestration: Assess build-vs-buy-vs-rent decisions for AI capabilities; evaluate third-party AI products for fit-for-purpose, cost, and speed; manage vendor relationships and integration requirements where external solutions deliver faster or more economical outcomes.
- Pilot Design & Enterprise Scaling: Lead disciplined experimentation from hypothesis through pilot validation; develop commercialization plans for successful pilots; manage phased rollout to enterprise adoption with clear success criteria at each stage.
- Advisor Journey Mapping: Document advisor workflows and identify automation opportunities; prioritize use cases based on time savings, revenue impact, and advisor satisfaction; maintain a pipeline of validated opportunities for product development.
- Integral Partnership with Technology: Co-design product definitions with engineering partners, including product requirements, data contracts, model artifacts, KPIs, and SLOs. Ensure clear handoff for Technology to implement and scale.
- Governance & Compliance: Prepare RAIC (Responsible AI Council) documentation and evidence packs; ensure all AI products meet governance, privacy, and regulatory requirements before deployment.
- Adoption & Value Realization: Own rollout strategy, training integration, and feedback loops; partner with field leadership to drive adoption; track and report business impact to executive leadership.
- Instrumentation & ROI: Maintain benefits ledger, KPI dashboards, adoption telemetry; report effect sizes (uplift), manual work reduction, and revenue/NPS lift.
- Intelligence Layer charter: Define signals, data contracts, and evaluation telemetry to engineer network economies that align with the Strategic Data Foundation and systems of record in partnership with Data Science solutions to help optimize an advisor’s day.
- Value stream ownership: Prioritize CRITICAL advisor journeys, such as Regular Reviews & Ongoing Advice, Onboarding, Discovery, Rebalancing, and Compliance, and deliver measurable cycle time and quality improvements.
- Trust & Governance: Implement risk-tier routing (T1–T4), LLM judges, and an immutable audit trail; achieve 100% RAIC compliance pre-deployment in partnership with Data Science Solutions.
- Instrumentation & ROI: Maintain benefits ledger, KPI dashboards, adoption telemetry; report effect sizes (uplift), manual work reduction, and revenue/NPS lift.
- Vendor orchestration: Apply build-vs-buy-vs-rent with documented fit-for-purpose and ROI; integrate third-party capabilities under governance guardrails
Objectives & Key Results (OKRs)
Objective 1: Deliver Advisor-Facing AI Products with Measurable Impact
- KR1: Deploy two or more advisor-facing AI capabilities from pilot to enterprise rollout in Year 1.
- KR2: Achieve 20%+ reduction in advisor time spent on targeted workflows.
- KR3: Deliver measurable NPS lift of 5+ points among participating advisor cohorts.
Objective 2: Build and Govern Third-Party AI Ecosystem
- KR1: Complete fit-for-purpose assessments for all third-party AI products under consideration.
- KR2: Onboard one or more third-party AI solutions with demonstrated ROI advantage over internal build.
- KR3: Achieve 100% RAIC compliance for all deployed AI products (internal and third-party).
Objective 3: Drive Adoption and Revenue Impact
- KR1: Achieve 70%+ adoption rate among target advisor cohorts within six months of rollout.
- KR2: Document revenue lift per use case with validated business case for each deployed capability.
- KR3: Establish feedback loops surfacing advisor friction to product backlog within 48 hours.
Objective 4: Enable Cross-Functional Alignment
- KR1: Maintain four-in-a-box operating rhythm with Technology, Business, and Operations and Risk partners, with zero critical handoff delays.
- KR2: Conduct semi-quarterly planning sessions with partner product teams (Home Office, Data Science, Analytics).
- KR3: Achieve 90%+ stakeholder satisfaction from field leadership and compliance partners.
Requirements:
- 10 or more years of experience in product management, with a proven track record of delivering AI or automation products with measurable business impact.
- Proven experience with AI/ML product development, Co-Pilot experiences, or intelligent automation.
- Minimum 3 or more years of experience managing third-party vendor ecosystems, partnerships, or build-vs-buy evaluations at enterprise scale.
- Proven experience success taking products from pilot through enterprise adoption, including commercialization and value measurement.
- A bachelor's or master's degree in Business, Computer Science, Information Systems, or a related field.
Core Competencies:
Product Management: Proven ability to define and execute product roadmaps from concept through enterprise adoption, with accountability for business outcomes.
Agentic platform experience: Planner/Execution/Evaluator agents, gateways, judges, audit trail in regulated environments.
Build vs. Buy vs. Rent Decision-Making: Experience evaluating internal development against third-party solutions, with clear frameworks for cost, speed, and fit-for-purpose assessment.
Experimentation & Validation: Track record designing pilots, measuring outcomes, and making evidence-based decisions on scaling or pivoting.
Technology Partnership: Ability to develop strong partnerships with engineering, co-owning product definitions while respecting delivery boundaries.
Commercialization: Experience developing business cases, revenue models, and adoption strategies for enterprise products.
AI Governance Fluency: Familiarity with responsible AI principles, model risk management, and regulatory requirements for AI in financial services.
Stakeholder Communication: Clear and effective communication skills across technical, business, and field audiences.
Matrixed Leadership: Ability to influence without authority and drive outcomes through partnership across organizational boundaries.
Preferences:
- Financial services or wealth management background with understanding of advisor workflows.
- Prior experience shipping AI in FINRA/SEC contexts (model risk, privacy, audit readiness) and operating a RAIC‑style governance process
- Familiarity with responsible AI governance frameworks and model risk management.
- Background working with field organizations on adoption and change management.
- Experience operating in matrixed environments with four-in-a-box or similar partnership models with Technology, Business, and Operations and Risk.
- Strong financial acumen with the ability to build business cases and track ROI for product investments.
- Exceptional communication and stakeholder management skills across technical, business, and field audiences.
Pay Range:
$169,100-$281,834/yearActual 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. Your recruiter will be happy to discuss all that LPL has to offer!
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.
For further information about LPL, please visit www.lpl.com.
Join LPL Financial: Where Your Potential Meets Opportunity
At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation’s leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services.
Why LPL?
Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here!
Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here!
Unified Mission: We are one team on one mission—taking care of our advisors so they can take care of their clients. Learn more about our mission and values here!
Impactful Work: Our size is just right for you to make a real impact. Learn more here!
Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here!
Community Focus: We care for our communities and encourage our employees to do the same. Learn more here!
Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here!
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. 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 (855) 575-6947.
EAC12.9.25
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What We Do
Financial advice is changing, and at LPL Financial, we’re at the forefront. We’re building a future where advisors can—with no friction or complexity, as simple as turning the dials—pick the business model, services, technology, and product mix that best meet their clients’ needs. With one platform, one sign-on, and one team to call, you can take your business anywhere you want it to go. There are no limits to your growth, and we’ll partner with you every step of the way. Your greatness is our goal. LPL Financial is a leader in the retail financial advice market and the nation’s largest independent broker/dealer*. We serve independent financial advisors and financial institutions, providing them with the technology, research, clearing and compliance services, and practice management programs they need to create and grow thriving practices. LPL enables them to provide objective guidance to millions of American families seeking wealth management, retirement planning, financial planning and asset management solutions. LPL.com Securities and Advisory Services offered through LPL Financial. A registered investment advisor, Member FINRA/SIPC.
