LPL Financial

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

Vice President

• 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

Analyst

• 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.

Senior Analyst – Digital Enablement

• Responsible for quality and risk control processes for monitoring systems, vendor oversite, and review of daily processing work for on and offshore team.
• Reconciliation and reporting of clearance accounts to ensure all allocations from our various depositories have been properly allocated.
• Participate in internal audits by providing documentation and demonstrating compliance of all key and non-key controls in walkthroughs.
• Leverage technology to automate manual work and simplify processes where feasible to create a highly scalable, flexible, and efficient infrastructure.
• Handle escalations by both the Service Center and Advisors; exercise superior judgement in keeping manager informed about issues.
• Recognizes issues, problems, or opportunities and determines whether action is needed.

Analyst, Corporate Actions

• Provide outstanding service through phone support with complex inheritance/divorce-related issues via an inbound call center environment
• Create a reliable support system for our advisors so they can easily navigate through estate-related inquiries on behalf of their clients
• Take ownership and following through with complex and escalated cases that result in follow-up calls and processing
• Ensure that requirements are being accurately communicated and answering questions related to the inheritance process
• Use decision making and communication skills to process estate and divorce claims through to completion
• Communicate in an empathetic and professional manner due to the sensitive nature of Estate and Divorce situations
• Review documentation such as letters of testamentary, trust agreements, Qualified Domestic Relations Order, divorce decrees, and other estate-related paperwork as it pertains to both death and divorce situations

Associate Service Consultant

• Serve as a technical subject matter expert for AWS development patterns, cloud architecture, and engineering best practices.
• Develop and deliver new features and enhancements that directly impact advisor onboarding and the firm’s strategic growth.
• Design and implement scalable services using Domain-Driven Design, API-first architecture, and event-driven microservices.
• Build full-stack solutions using .NET Core, Angular, REST APIs, and AWS-native components.
• Collaborate with developers, architects, product owners, and QA teams to design technical solutions and document architecture in alignment with SDLC standards.
• Participate in Agile ceremonies, demos, and cross-functional discussions to communicate progress and share technical insights.
• Build solutions aligned with enterprise engineering standards and actively participate in code reviews and architectural evaluations.
• Provide advanced debugging, performance troubleshooting, and production support as needed.

Senior Full Stack .NET Developer

Affiliate Manager

• Consult with prospective advisors to understand the unique structure of the business transitioning to LPL and devise a strategy to effectively transition the book of business.
• Engage various departments throughout the firm as subject matter experts where needed.
• Leverage appropriate tools to facilitate in-depth training on all LPL technology with the goal of preparing the prospective advisor (and staff) to effectively operate our technology upon license transfer to LPL.
• Provide repapering support to aid new advisors in moving their book of business to LPL.
• Navigate issues by leveraging critical thinking and problem-solving skills and know when to engage management for additional support when needed.
• Discuss technology needs of the advisor and provide additional training on LPL proprietary premium products and third-party tools, as necessary.
• Support the execution of department projects and initiatives, as necessary.

Transition Support Partner

Product Manager

• Lead product strategy, roadmap development, and execution for LPL’s investment reporting and statement platforms
• Become a subject matter expert in the functionality, usage, and architecture of LPL’s statement production and distribution systems
• Review, organize, and prioritize product enhancement requests, feature ideas, and defect remediation
• Gather and synthesize feedback from advisors, clients, and internal stakeholders to inform product decisions
• Create and maintain business requirements documents (BRDs), epics, features, and user stories
• Partner closely with engineering teams throughout the full product development lifecycle
• Collaborate with marketing and communications teams on product positioning and go-to-market initiatives
• Support product releases, adoption efforts, and continuous process improvements
• Ensure product decisions align with client needs, regulatory considerations, and business objectives

AVP, Product Owner

• Lead the enterprise Tableau Cloud strategy
• Establish standards for certified data assets
• Ensure BI solutions support financial, management, and operational reporting
• Partner with Data, Analytics, and AI teams
• Ensure analytics capabilities are secure, compliant, and aligned with governance standards
• Oversee platform scalability and performance
• Translate business requirements into scalable BI architecture
• Act as a strategic partner to business and technology leaders
• Drive adoption and value realization of enterprise analytics

AVP, Data Reporting Manager

• Lead and develop a national team of senior relationship managers
• Own LPL’s enterprise account management strategy
• Develop and execute three-year strategic plans
• Present enterprise strategic account plans to LPL’s Management Committee and CEO
• Analyze market and client trends to develop insights and scalable solutions

SVP, Relationship Management – Enterprise Alliances

• Lead and coordinate cross‑functional technical teams during major and critical incidents, ensuring timely recovery and effective stakeholder engagement.
• Serve as a recovery lead during declared major incidents, maintaining focus on service restoration and customer impact.
• Participate in and facilitate post‑incident reviews and post‑mortems, ensuring outcomes are actionable and measurable.
• Drive high‑quality root cause analysis for major incidents using structured techniques such as 5‑Why, Fishbone, and Blameless RCA.
• Ensure contributing factors (process, technology, observability, automation, or human factors) are clearly identified and documented.
• Partner with domain teams to translate findings into concrete remediation actions.
• Develop, document, and maintain incident recovery plans, SOPs, runbooks, and playbooks in collaboration with domain owners.
• Support and execute mock drills, recovery tests, and readiness exercises to improve response effectiveness.
• Ensure recovery documentation remains accurate, consumable, and operationally relevant.
• Work with application, infrastructure, and platform teams to improve diagnostic accuracy and time‑to‑engage during incidents.
• Help establish clear ownership, escalation paths, and recovery patterns to reduce dependency on ad‑hoc tribal knowledge.
• Promote repeatable recovery patterns across services.
• Identify opportunities to improve service reliability, operational maturity, and recovery effectiveness.
• Analyze incident data and trends to recommend targeted improvements across people, process, and technology.
• Support adoption of SRE‑aligned practices, including error budgets, readiness reviews, and failure mode awareness.
• Provide structured feedback to Observability, Automation, Resiliency, and Domain teams on; gaps in monitoring, alerts, and diagnostics; single points of failure; architectural or design weaknesses impacting recoverability
• Act as an operational voice to ensure post‑incident learnings inform engineering and platform decisions.
• Mentor junior recovery managers or operational staff through hands‑on incident participation and coaching.
• Contribute to operational training sessions, tabletop exercises, and knowledge‑sharing initiatives.
• Maintain awareness of industry best practices in production operations, incident management, and SRE.