Jobs at LPL Financial

Leads IAM architecture and hands-on proof-of-concept development for AI workloads, conversational agents, agent runtimes, tools, APIs, and MCP integrations. Designs OAuth/OIDC, delegation, token exchange, gateway enforcement, non-human identity, secrets management, entitlement, and lifecycle patterns. Partners with AI, platform, IAM, and security teams to establish zero-trust, compliant, production-ready standards; troubleshoots integrations, automates onboarding, supports CI/CD and IaC, documents controls, and mentors engineers.

Leads enterprise AI governance and technology risk programs, establishing responsible AI policies, controls, monitoring, approval processes, and regulatory alignment. Oversees risks involving models, data, privacy, cybersecurity, cloud, third parties, and operational resilience. Advises executives, regulators, auditors, governance committees, and the Board while building a high-performing risk and AI governance team.

Leads LPL Financial’s enterprise pricing strategy, including pricing architecture, financial modeling, scenario analysis, governance, and implementation roadmaps. Evaluates pricing across advisor segments, platforms, products, services, and affiliation models to improve growth, margins, earnings quality, retention, and client experience. Partners with senior executives and cross-functional teams to develop recommendations, align stakeholders, manage strategic initiatives, and lead a high-performing pricing strategy team.

Build, configure, and optimize WalkMe digital adoption solutions for proprietary platforms. Create in-app guidance, automation, and workflows; analyze user behavior; troubleshoot deployments and integrations; collaborate with product, design, and support teams; conduct testing and quality assurance; document implementations; and continuously improve adoption and user experience.

Lead infrastructure engineering teams and strategy for scalable, resilient, secure enterprise systems. Responsibilities include infrastructure design and maintenance, AWS and hybrid cloud adoption, automation, vendor and procurement management, budgeting, standards enforcement, cross-functional collaboration, cybersecurity, disaster recovery, and business continuity. The role provides technical leadership, mentorship, and oversight of infrastructure performance, reliability, and operational efficiency.

Lead strategy and execution for advisory platforms, including roadmaps, backlogs, Agile delivery, vendor management, and cross-functional technology partnerships. Own the development of tax overlay capabilities such as tax-loss harvesting, transition management, wash-sale handling, and tax-aware rebalancing. Define operating models, KPIs, advisor workflows, and enablement plans while coordinating with legal, risk, compliance, vendors, and executive stakeholders.

Leads product strategy, roadmap development, investment prioritization, and stakeholder alignment for Business Management Reporting. Partners with data, engineering, technology, UX, and business teams to deliver scalable analytics, reporting, personalization, automation, and AI-enabled capabilities. Develops business cases, executive communications, governance materials, and measurable outcomes while supporting modernization of enterprise business intelligence platforms and improving adoption, operational efficiency, and risk management.

Leads enterprise Data Intelligence strategy and operating model across data, analytics, AI, and distribution organizations. Oversees the intelligence marketplace, semantic and contextual services, governed APIs, MCP access, data lifecycle, governance standards, roadmaps, adoption metrics, and executive decision-making. Partners with architecture, security, risk, governance, and engineering leaders to deliver trusted, reusable enterprise data capabilities that support analytics, applications, digital products, and AI experiences.

Leads end-to-end technical delivery coordination for Cyan, LPL Financial’s advisor AI experience. Owns the multi-year technical roadmap, aligns product, engineering, data, platform, security, risk, governance, and business teams, and manages dependencies, milestones, release plans, and executive reporting. Coordinates pilot, launch, and production readiness while establishing scalable governance, operational controls, decision frameworks, and accountability across complex organizational workstreams.

Leads enterprise workforce management, forecasting, capacity planning, and optimization across service channels and operations processing. Partners with executive leaders to align staffing with demand, growth, productivity, cost, and client experience goals. Uses AI, automation, predictive analytics, and workforce intelligence to improve operational effectiveness. Establishes governance and performance metrics, plans for business events and demand fluctuations, and builds a high-performing workforce planning and analytics organization.

Leads and supports financial advisors and teams across a region by coaching growth, strengthening retention and satisfaction, executing recruitment and succession strategies, integrating new teams, and promoting LPL resources. Partners with sales and internal consultants to increase adoption of financial planning, advisory, and high-net-worth solutions while driving assets, sales, and client satisfaction outcomes. Requires frequent travel to branch offices and recruit meetings.

Leads enterprise corporate strategy initiatives, translating market and business dynamics into executive recommendations. Responsibilities include strategic planning, market intelligence, financial modeling, scenario analysis, pricing and M&A strategy, AI-enabled transformation, executive and Board communications, cross-functional alignment, and converting recommendations into implementation roadmaps. The role also manages strategy teams, coaches talent, and supports major decisions affecting growth, competitive positioning, operating models, and enterprise value.

Leads LPL’s enterprise market data function, setting strategy and operating models for governance, licensing, entitlements, vendor relationships, spend, inventory, lineage, risk, and operations. Partners with Product, Technology, Data, Finance, Procurement, Legal, Risk, and business teams to ensure compliant and resilient market data usage. Oversees strategic provider negotiations, financial management, controls, reporting, and team development.

Serves as the lead legal advisor on cybersecurity for financial services operations. Advises on cyber incidents, materiality assessments, regulatory notifications, breach and privacy laws, crisis management, cyber governance, third-party security, and regulatory examinations. Drafts cybersecurity policies and incident response playbooks, supports tabletop exercises and remediation, evaluates security controls, and partners with information security, technology, compliance, risk, and executive teams.

Lead the enterprise privacy and data protection program, including governance frameworks, risk assessments, regulatory compliance, AI governance, incident oversight, monitoring, testing, training, and executive reporting. Partner with Compliance, Risk, Technology, Cybersecurity, Legal, Audit, and business leaders to embed privacy-by-design, responsible data practices, and effective controls. Manage regulatory examinations, remediation efforts, privacy incidents, and a team of privacy and governance professionals.

Lead and grow engineering teams building investor-facing web and mobile platforms. Oversee full-stack development, microservices, cloud (AWS), REST APIs, Kafka integrations, and AI-enabled engineering transformation. Recruit, coach, manage delivery, partner with product/design/architecture, and drive engineering best practices, risk management, and continuous improvement.

Design and maintain scalable Python backend services, enterprise data integration frameworks, batch pipelines, REST APIs, and AWS cloud-native applications. Build serverless solutions using Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Improve data pipeline observability, resilience, monitoring, and performance while supporting analytics, machine learning, and AI use cases. Collaborate with stakeholders and engineering teams, troubleshoot distributed systems, mentor junior engineers, conduct code reviews, and promote modern development and DevOps practices.

Lead technology strategy and architecture for Corporate Actions, Class Actions, and Securities Lending platforms. Oversee 20+ application teams to modernize legacy systems to cloud-native, API-first, service-oriented, and event-driven architectures. Champion AI-assisted development, DevSecOps, CI/CD, observability, and delivery governance. Drive vendor evaluations, cross-functional partnerships, engineering performance metrics, and talent development to deliver scalable, secure, and resilient enterprise solutions.

Technical leader responsible for integrating, optimizing, and operationalizing enterprise cloud and security platforms. Drive SIEM ingestion, telemetry and logging strategy, detection alignment, automation, interoperability, and resiliency across EDR/XDR, CNAPP, IDS/IPS, DLP, WAF, firewalls, and AI security. Partner with platform teams, build standards, and develop automation using Python, PowerShell, Go, APIs, and IaC.

Lead development and maturation of the Application Security program. Maintain and integrate appsec testing platforms, review and triage scan results, produce metrics, mentor development teams, monitor CVEs, and coordinate with Audit, Governance, and Compliance to improve security posture.