VP – AI Product Strategy

LPL Financial

Vice President of AI Product Strategy shaping AI-driven solutions for financial advisory platforms at LPL Financial. Collaborating across teams to deliver AI solutions and strategic initiatives.

Posted 6/17/2026full-timeRemote • New York, Ohio • 🇺🇸 United StatesLead💰 $145,436 - $242,359 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI product strategymarket researchproduct requirementsproduct lifecyclekey metricsAImachine learningnatural language processingpredictive analyticscomputer vision

Soft Skills

communicationcollaborationknowledge sharingethical considerationsgovernancetransparency

Certifications & Qualifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Business

Industry Keywords

financial servicestechnology-driven productsdata governanceprivacy considerations

About the role

Key responsibilities & impact

Establish and communicate an AI product strategy aligned with business priorities and growth objectives
Conduct market research, evaluate industry trends, and identify opportunities for AI within financial services
Translate business needs and user insights into clear product requirements and roadmaps
Partner with cross-functional teams to support the full product lifecycle, from concept through launch and ongoing enhancements
Promote responsible AI practices, including ethical considerations, governance, and transparency
Define and track key metrics to assess product performance and impact
Share product strategy, updates, and outcomes with leadership and stakeholders
Stay informed on developments in AI, machine learning, and related technologies, and assess their relevance to the organization
Support and guide teams in AI product practices, encouraging collaboration and knowledge sharing

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Business, or a related field
Experience in product management, product strategy, or related roles, including experience with AI or machine learning products
Experience contributing to the development and launch of technology-driven products in a complex organizational environment
Understanding of AI/ML concepts such as natural language processing, predictive analytics, computer vision, or generative AI
Ability to communicate technical concepts in a way that connects to business value
Experience working with data, including awareness of governance and privacy considerations.

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off
and more