LPL Financial

Manager

• Handle Financial Advisor immediate escalations needing management contact and advanced support issues
• Monitor, coach, set performance goals, and motivate staff
• Help frontline agents with questions from advisors and office staff
• Assist in the training process of support staff
• Track their training progress and decide when they have reached milestones to move them on the next level of training
• Administrative management duties: timecard approvals, interviews, review time off requests, track attendance etc
• Provide superior customer service to a large base of financial advisors by handling incoming phone calls when needed including escalations
• Advise AVP/VP when there is a need for progressive counseling of a Service Professional
• Assist in writing and presenting the action plan and guidance to improve the Service Professional’s performance
• Monitor Frontline ACD performance reports looking for trends and areas of improvement
• Interview and make staffing decisions for hiring Service Professionals

Service Center Manager

Director

• Develop sales and recruiting strategies; research, source, and engage with prospects
• Identify new prospective advisors within the target segment by making initial sales calls, as well as respond to inquiries
• Individually own certain advisor segments of the pipeline from initial contact to the advisor joining LPL working in close partnership with Regional Directors and Division Managers
• Meet with prospective advisors to effectively demonstrate LPL’s unique value proposition and address any questions or concerns
• Expertly navigate long sales cycles, often with multiple buying influences
• Utilize discretion and independent judgment in evaluating potential advisors to determine whether the advisor and their book of business is an appropriate candidate for LPL
• Train and educate internal staff on the nuances of recruiting premium segment wirehouse and bank advisors, as well as coaching the team on the competitive landscape and what hurdles we need to overcome in order to win the business
• Continually improve and evaluate recruitment practices, ideas, opportunities, and affinity partnerships to increase ability to source women advisors
• Understand and articulate LPL’s business model, LPL’s policies, the financial services industry, and the benefits of joining one of LPL’s affiliation options
• Partner with the BD leadership team on the continued evolution of LPL’s offering and capabilities to establish ourselves as the leading solution in the market
• Identify external organizations, local events, and conferences that create new sourcing channels, and attend events on behalf of LPL and the Business Development group
• Serve as a subject matter expert who can empower LPL’s business development team through consultation and partnership, and by providing them with resources to attract premium segment candidates in their territories
• Design, experiment, and test new approaches to attract diverse candidates
• Effectively leverage data to track key program performance indicators, identify trends, and ensure projects and programs align to company priorities

Regional Director

Analyst

• Perform and support financial analysis, synergies forecast, and valuation and due diligence of potential acquisitions
• Collaborate with functional due diligence teams, including legal, finance & accounting, tax, human resources, operations, IT, sales, and strategy
• Develop, in partnership with Business Unit leaders, financial projections for acquisition targets and integration plans
• Prepare presentations and report to senior management on potential M&A transactions, capital structure, and strategic growth initiatives
• Develop deep knowledge of the wealth management industry
• Perform research, reporting and analysis on M&A activity and strategic partnerships in the industry
• Monitor past acquisition metrics
• Ad-hoc analysis, research, financial modeling, and additional responsibilities as required

Senior Analyst, Corporate Development

Vice President

• Manage services help content
• Optimize the customer self-help knowledge base
• Transform the customer service experience
• Deliver knowledge-related activities, including project-related initiatives and migrations across platforms
• Lead new AI transformative initiatives and guide the knowledge management team
• Coach team members in new technologies

AVP, Knowledge Management

Artificial Intelligence

• Collaborating internally with our Product and Technology teams so they can get the most value out of Kong Platform
• Developing internal solutions & tools for the organization to help us push our technical boundaries and improve our ability to deliver AI integration to the organization
• Writing or editing technical documentation and knowledge base articles for the solutions you develop
• Maintain and upkeep Kong platform
• Configure and develop Kong plugins for authentication, rate limiting (including token-based throttling), logging, and transformation

Kong AI Gateway Engineer

Business Development Rep

• Responsible for recruiting high quality financial advisors to the LPL Financial Platform
• Establish and maintain a network of centers of influence (COI)
• Create and manage a recruiting pipeline to transition candidates (Financial Advisors) to LPL
• Evaluate advisor practices to ensure transferability of assets and adherence to corporate compliance and affiliation standards.
• Strong negotiation skills and the ability to compile and present competitive offerings in partnership
• Build and maintain strong internal and external relationships critical to success in the role.
• Maintain up-to-date status of your recruiting pipeline within Salesforce
• Develop and implement a strategy for engaging with existing recruits and for feeding / building the pipeline
• Meet monthly KPI’s required for the role – calls / meetings

AVP, Business Development

Product Manager

• Define product vision and roadmap for key advisor-facing AI capabilities.
• Translate advisor workflow friction into AI-powered solutions.
• Deliver production-grade AI capabilities with defined success metrics and adoption plans.
• Lead disciplined experimentation from hypothesis through pilot validation.
• Develop commercialization plans for successful pilots and manage phased rollout to enterprise adoption.
• Apply documented build-vs-buy-vs-rent frameworks.
• Conduct market, competitive, and capability assessments of potential vendor partners.
• Partner with Technology and Risk to integrate third-party AI solutions under enterprise guardrails.
• Ensure all AI products meet compliance, legal, risk and regulatory requirements before deployment.
• Own rollout strategy, training integration, and advisor enablement materials.

AVP, AI Product Manager

Full-stack Engineer

• Develop and maintain software products used by advisors and investors to support investment planning and client engagement.
• Perform peer-to-peer and team code reviews, promoting engineering best practices and sharing knowledge on emerging technologies.
• Collaborate with both technical and non-technical partners to support product delivery, system operations, and continuous improvement.
• Translate business requirements into technical solutions and actively contribute to sprint planning, backlog refinement, and demonstrations.
• Support Agile product development teams building cloud‑based, modern technology solutions.
• Work closely with Development, Architecture, QA, Release Management, and Support teams to design, develop, test, deploy, and maintain integrated platforms.
• Participate in Agile ceremonies and follow SAFe methodology, including daily scrums, sprint planning, and PI planning.

Senior Software Developer

Solutions Engineer

• Support end‑to‑end solution analysis for platform and integration initiatives, from discovery through delivery
• Analyze requirements and assist in defining target‑state architectures for cross‑platform solutions
• Create and maintain architecture artifacts such as system diagrams, integration flows, and technical documentation
• Assist with the design and analysis of API, integration, and gateway solutions that enable secure enterprise connectivity
• Partner with engineering and platform teams to ensure solutions align with established architecture standards and best practices
• Help identify risks, dependencies, and bottlenecks across architecture, security, and infrastructure
• Support platform modernization and migration efforts by analyzing current‑state solutions and documenting future‑state designs
• Contribute to clear communication of technical concepts, decisions, and trade‑offs to technical and non‑technical stakeholders

Solution Architect – Tech Foundations

• Design, implement, and maintain DLP controls across endpoints, email, SaaS, cloud platforms, APIs, and AI/ML data pipelines.
• Engineer DLP solutions that address AI-specific risks, including: Training-data leakage, Prompt and response data exposure, Model input/output inspection, Sensitive data misuse in AI experimentation and inference.
• Partner with AI engineering teams to embed security-by-design controls into AI platforms and workflows.
• Integrate DLP solutions with SIEM, CASB/CSPM, endpoint protection, cloud security, and AI observability platforms.
• Develop automation and scripting to support policy enforcement, exception handling, redaction, and data classification across dynamic environments.
• Evaluate emerging technologies for AI data protection, DSPM, and next-generation DLP capabilities.
• Tune DLP policies to minimize false positives while maintaining strong data-exfiltration and misuse controls—especially in AI-driven workflows.
• Assess existing DLP coverage and identify gaps across legacy systems, cloud platforms, AI tools, and third-party services.
• Stay current with emerging threats, AI security patterns, and regulatory developments, recommending updates to DLP and AI data-protection strategy.
• Partner with data owners, legal, privacy, compliance, AI teams, and business units to understand data flows and protection requirements.

AVP DLP Engineer

Backend Engineer

• Define and steward target‑state architecture for mission‑critical investor‑facing platforms, including upstream and downstream dependencies.
• Partner with business, product, and technology leaders to align architectural strategy with enterprise priorities and funding decisions.
• Guide and influence domain‑aligned solution and data architects to maintain architectural coherence and quality.
• Establish and evolve architectural standards, principles, reusable assets, and frameworks that drive scalability, security, performance, and quality.
• Lead modernization initiatives including cloud adoption, API‑first transformation, and migration from monolithic to microservices architectures.
• Identify opportunities for enterprise reuse, efficiency, and improved business outcomes through architectural alignment.
• Monitor emerging technologies (e.g., AI/ML, data mesh) and apply them thoughtfully to transform investor and advisor experiences.

Chief Architect, Investor Technology

Consultant

• Manage and triage incoming client feedback, ensuring timely acknowledgment, accurate routing, and closed-loop communication.
• Serve as a quality control checkpoint for consistent, professional client communications.
• Monitor timelines and service level expectations, flagging risks or delays and escalating issues as appropriate.
• Partner with feedback SMEs to support delivery of responses by tracking progress, sending reminders, and reinforcing expectations.
• Identify stale or aging feedback items and proactively re-engage stakeholders to move items forward.
• Participate in working sessions or support touchpoints with SMEs to address complex or sensitive feedback, escalating as needed.
• Maintain assigned SME coverage areas by supporting topic alignment and onboarding activities.
• Contribute to feedback reporting and governance activities by identifying issues, suggesting improvements, and following established workflows.
• Demonstrate and reinforce client-centric and hospitality-minded behaviors through daily actions and interactions.

Senior Consultant, Client Feedback

• Manage and triage incoming client feedback, ensuring timely acknowledgment, accurate routing, and closed-loop communication.
• Serve as a quality control checkpoint for consistent, professional client communications.
• Monitor feedback trends, escalating urgent or systemic issues as needed.
• Partner with cross‑functional feedback SMEs to drive delivery of responses within defined Service Level Agreements (SLAs) by tracking timelines, sending reminders, and proactively mitigating risks.
• Drive proactive oversight of feedback, including monitoring stale or aging items, and re-engaging stakeholders to move issues forward.
• Facilitate targeted touchpoints, support sessions, and working meetings with SMEs to address complex, sensitive, or high-risk feedback.
• Maintain SME coverage by managing topic alignment, identifying gaps, and supporting onboarding.
• Contribute to feedback governance through tooling enhancements, workflow improvements, and reporting that surfaces client sentiment and response effectiveness.
• Champion a culture of client-centricity, accountability, and continuous improvement across the organization.

AVP, Client Feedback

• Support and collaborate with more experienced colleagues to deliver large-scale solutions
• Jointly participate in projects & tasks while advancing skills in discovery, design, and implementation of process improvements and automated workflows
• Optimize processes by conducting stakeholder interviews to compile needs assessment, identify requirements, and support solution design
• Conduct data validation and process testing exercises, identifying defects and proposing solutions or workarounds
• Work cross-functionality to deliver & implement more efficient workflows by combining backend data sources in Alteryx
• Research and resolve unknowns independently by leveraging resources and navigating the organization to obtain information and achieve objectives
• Drive continuous improvement by proposing ways to leverage data aggregation tools, automated workflows, or AI

Supervision Performance – Automation Analyst

• Analyze and monitor key performance indicators (KPIs) such as product adoption, deflection efficacy, and experiential feedback.
• Leverage descriptive analytics and data visualization to extract actionable insights to improve product performance.
• Leverage AI tools and innovative analytics to identify opportunities to improve knowledge content.
• Provide training and change management support to internal stakeholders and advisors for new launches and product enhancements.
• Participate in gathering and analysis of user feedback, usability testing and journey mapping.