Jobs at LPL Financial

Leads the enterprise Identity and Access Management organization, strategy, governance, engineering, operations, resilience, and compliance programs. Oversees identity governance, privileged access, authentication, directory services, platform modernization, production support, and Zero Trust initiatives. Partners with technology, risk, compliance, audit, and business leaders while managing a large geographically dispersed organization, budgets, vendors, succession planning, and strategic investments.

Owns enterprise architecture strategy for the Service and Support domain. Defines current, transition, and target-state architectures, capability maps, reference architectures, and modernization roadmaps. Guides CRM, case management, workflow, contact center, integration, data, and AI-enabled service initiatives. Establishes architecture standards, security and cloud guardrails, integration and data boundaries, and modernization strategies. Partners with executives, product, engineering, cybersecurity, and cloud teams while mentoring architects and communicating trade-offs, risks, dependencies, and business value.

Leads strategy, architecture, delivery, and operations for LPL’s core financial data platforms, including transactions, positions, tax lots, pricing, accounting, and held-away assets. Oversees AI-native data engineering, quality, governance, semantic products, secure APIs, AWS modernization, and LPLSQL migration. Partners with risk, compliance, legal, audit, and business teams to ensure regulatory controls. Builds and develops a multidisciplinary organization spanning data engineering, AI, knowledge engineering, data products, and data quality while managing strategic technology vendors.

Provides hands-on technical leadership for high-volume, low-latency applications and cloud solutions. Designs and develops full-stack systems, microservices, APIs, and production-reliable software using .NET, Angular, AWS, and SQL Server. Partners with product, architecture, data, infrastructure, and business teams; assesses technical risks; supports planning and demonstrations; mentors engineers; maintains technical documentation; and communicates technical decisions across stakeholders.

Defines and executes enterprise data engineering and platform strategy. Designs scalable cloud data architectures supporting analytics, reporting, AI, and business intelligence; modernizes warehouses, lakes, and lakehouses; advances data mesh, governance, reliability, security, observability, ETL/ELT, automation, Infrastructure as Code, and CI/CD. Partners with architecture, security, infrastructure, product, and business stakeholders to deliver enterprise-scale data capabilities and apply AI-assisted engineering practices.

Provides high-level administrative support to an EVP and leadership team, including calendar and inbox management, meeting and event coordination, heavy travel arrangements, expense processing, document preparation, communications, and confidential executive support. The role serves as a gatekeeper and resource for executives, coordinates logistics across time zones, and manages onsite support in Austin Monday through Thursday.

Lead product management for the ClientWorks advisor workstation platform. Responsibilities include researching user needs, defining near- and medium-term roadmaps, managing product development cycles, establishing success metrics, analyzing product performance, and collaborating cross-functionally to improve advisor and client experiences. The role also requires developing business cases, securing funding approval, presenting to senior leaders, and serving as a product subject matter expert.

Prospects financial advisors through cold calls, email, and LinkedIn to generate qualified leads for LPL’s advisor recruiting team. The role involves executing prospecting campaigns, qualifying leads, presenting opportunities to regional directors, tracking KPIs and funnel performance in Salesforce, and working toward promotion into internal regional director roles.

Design, develop, test, and support scalable full-stack applications and cloud-native microservices using .NET, Angular, AWS, SQL, and NoSQL technologies. Build APIs, data integrations, ETL pipelines, and CI/CD solutions while improving system performance, reliability, and scalability. Collaborate with product, architecture, and engineering teams, participate in design and code reviews, troubleshoot applications, document technical solutions, and apply modern DevOps and AI-assisted development practices.

Leads enterprise AI architecture across generative AI, agentic systems, RAG, AI control planes, governance, security, evaluation, deployment, and operations. Defines reference architectures, lifecycle standards, runtime controls, and production readiness gates while conducting technology evaluations and proofs of concept. Partners with product, engineering, security, risk, and compliance teams to deliver secure, observable, resilient, cost-aware AI solutions in a regulated financial services environment. Mentors architects and influences enterprise technology roadmaps.

Leads enterprise AI architecture across generative AI, agentic systems, RAG, control planes, governance, security, evaluation, deployment, and operations. Defines reusable reference architectures, lifecycle controls, runtime policies, observability, cost governance, and production-readiness standards. Partners with product, engineering, security, risk, and compliance teams; evaluates emerging models and frameworks; creates proofs of concept; mentors architects; and guides secure, resilient, compliant AI delivery in a regulated financial-services environment.

Supports LPL Financial’s strategic technology partnership ecosystem by managing vendor partnership processes, onboarding new partners, maintaining pipeline records, coordinating cross-functional initiatives, and tracking financial and adoption metrics. The role interfaces with advisors and vendors, researches fintech trends, supports strategic prioritization, and fosters relationships with startups, venture capital firms, and emerging technology communities.

Manage a large pipeline of prospective and existing strategic partners through evaluation, diligence, contracting, approval, onboarding, launch, and growth. Build relationships across internal teams and external executives, assess commercial and strategic value, develop business cases, support pricing and revenue-sharing discussions, resolve dependencies, and provide leadership with pipeline insights and recommendations.

Develops scalable back-end workflow applications and microservices using Java, Spring Boot, REST APIs, Kafka, PostgreSQL, Docker, and Camunda 8. Builds tested features, APIs, and event-driven services; collaborates on architecture and code reviews; supports internal users; works with stakeholders to resolve defects and deliver enhancements; and improves engineering processes. The role also involves cloud deployment on AWS and Kubernetes, workflow orchestration, and maintaining service-level objectives.

Leads Site Reliability Engineering and DevOps teams building enterprise observability, AI-driven operations, automation, and reliability platforms. Establishes SLOs, SLIs, error budgets, monitoring standards, and governance; oversees Dynatrace-based logs, metrics, traces, and dashboards; drives predictive monitoring, intelligent alerting, self-healing, infrastructure as code, cloud adoption, incident management, and cross-functional reliability initiatives.

Leads strategy, roadmap, and lifecycle management for an intelligent data layer supporting enterprise AI. Oversees reusable data products, semantic models, knowledge retrieval, enterprise search, knowledge graphs, RAG, and GraphRAG capabilities. Partners with engineering, data science, AI application, and business teams to deliver production use cases, establish governance and quality measures, manage investment decisions, and develop product management teams.

Leads enterprise data engineering teams and roadmaps spanning orchestration, observability, batch modernization, and legacy workload migration. Oversees architecture, delivery, reliability, testing, deployment, and production support for large-scale data platforms and pipelines. Establishes engineering standards, partners across technical and business teams, develops talent, manages vendors, and evaluates emerging technologies. Requires deep AWS, infrastructure-as-code, orchestration, modern and legacy data environment, and enterprise platform leadership experience.

Lead enterprise strategy, roadmap, and adoption of agentic capabilities across the product development lifecycle. Redesign workflows, integrate customer evidence with product delivery, establish governance for agent autonomy and human review, evaluate build-versus-buy options, and pilot scalable practices with cross-functional teams. Develop product managers, drive organizational adoption, and measure improvements in learning speed, release quality, rework, review effort, cost, and accountability.

Own the vision, strategy, roadmap, and outcomes for an enterprise AI Consumption Management platform. Translate Finance and stakeholder needs into workflows, reporting, data requirements, and product capabilities covering usage, costs, attribution, budgets, and forecasts. Lead cross-functional delivery, dashboard validation, backlog prioritization, financial reconciliation, rollout, and adoption while partnering with engineering, architecture, data, AI platform, governance, Risk, and business teams.

Leads a distributed production support team responsible for the stability, monitoring, incident resolution, change governance, and operational readiness of customer-facing financial platforms. Oversees ServiceNow queues, ITIL incident and problem management, releases, disaster recovery exercises, executive communications, operational reporting, and continuous improvement. Manages team development, knowledge transfer, cross-functional partnerships, and support coverage while ensuring audit-ready documentation and reliable Level 2/3 application support.