LPL Financial

QA Engineer

• Define and maintain the criteria that make an SME-review workbook ready
• Own the acceptance criteria for AI-generated pull requests
• Own the functional Go/No-Go quality checklist
• Run weekly quality triage with Remediation Operations
• Define, track, and report the program’s core quality metrics
• Set and oversee the application-level and end-to-end test bar
• Coordinate quality expectations across various tracks
• Establish defect-escape and quality thresholds

VP M&A, VP Quality Engineering

Data Analyst

• Author both operational and analytical data quality rules for respective data and business domains.
• Document the rules and partner with technology teams and engineers to have the rules built into data pipelines, APIs, a commercial tool quality framework, etc.
• Develop data profiling, quality, and alerting capabilities leveraging database and ETL capabilities (DBT, Airflow, SQL, etc.) or commercial data management tools (Collibra, Alation, atlan, AWS Datazone, data.world, etc.)
• Develop and document standardized processes and workflows for remediating data issues by working with Relationship Management, Servicing, and Operations teams.
• Assist with data issue research, impact analysis, and fixes by partnering with support and technology teams.
• Translate business product, application and capability requirements for Advisors and Investors into data needs and solutions. These include business logic and transformations specs for data pipelines, inputs and business context for data modeling and logic embedded in consuming APIs.
• Utilize homegrown solutions, commercial data governance tools, or Excel, to build and document data lineage views of data transformations across the data ecosystems from source to target.
• Maintain data lineage artifacts and leverage them for data research and remediation efforts.
• Work with enterprise data architects to document data flows in conceptual and reference architecture diagrams for accountable data and business domains.
• Use either commercial governance tools or manually capture, document, and maintain data dictionaries at the attribute level for accountable domains.
• Partner with the enterprise data modelling team to ensure consistency of data definitions, classifications, taxonomies, hierarchies, etc. across data assets and consuming applications.
• Work with data product peers to identify inconsistencies in data to standardize on data definitions, code sets, naming conventions, classifications, consumption contracts, and taxonomies.
• Define and configure workflows, metadata structures, data quality rules, and classification schemes based on defined requirements.
• Author and enter Feature and Story-level work in Jira for technology teams to execute against.
• Work with data domain teams and the enterprise modeling team to understand both the domain-level data models and the enterprise data model to determine if fit for purpose for new project intake or if changes are required for the data domain.
• Provide scope and level of complexity if development work needed.
• Document drift and gaps between the enterprise logical data model and domain-level physical data models.
• Represent data and participate in QE and end-to-end testing of data products.
• Populate and enrich the business glossary or data dictionary and supporting and resolving data quality issues.
• Leverage software. Applications, and tooling to construct, monitor, govern and maintain new data products for the company. Data products will be developed on both the producing and consuming sides of the organization.
• Manage the data sharing and data delivery agreements as defined by the Data Design Authority, business stakeholders, data modeling and engineering teams.
• Accountable for partnering with engineering to implementation and execution of the data quality and privacy rules.
• Ensure alignment of data schemas, models, contracts, and templates from ingestion to the enterprise data model to systems of record domains to consumption layers.
• Align and govern physical models to logical data models.
• Partner with the Risk organization for data archiving, retention, privacy, and data destruction policies and requirements for critical data elements.
• Business metadata management across accountable data domains and data products.
• Onboard, govern and certify new CDEs introduced into the data ecosystem.
• Perform technical traceability mapping and data lineage tracking.
• Validate and certify new data sources.
• Partner with data domain (SOR) teams and business stakeholders to author and implement data quality rules and standards.
• Operational oversight of data quality rules execution in partnership with Engineering and Operations.
• Partner with a variety of internal support and Operations teams to build data quality scorecards, data exception reports, and ultimately assist teams with data enrichment and remediation when required.
• Track data issues and risks and develop associated mitigation strategies for corresponding business domains.
• Update central metadata repository with business metadata content including business terms, definitions, classifications, and data quality rules.

AVP Data Product Analyst

Analyst

• Analytical skills to review exceptions and perform reconciliation to ensure compliance with corporate and regulatory policies and procedures
• Reconcile, process, and validation reports on a daily basis
• Provide regulatory and risk oversight on processes and guidance for complex issues that arise in daily tasks
• Understand and Interpret rule modifications in an ever changing regulatory environment, and understand the business needs of LPL, our advisors, and other departments
• Seeks the perspective of others and re-examines assumptions to creatively solve problems and generate solutions

Account Transfers Analyst

Product Manager

• Define and evolve the IAM product vision, strategy, and roadmap aligned to business priorities, user needs, and risk considerations
• Partner with engineering, architecture, cybersecurity, operations, and business teams to translate strategy into execution plans and measurable outcomes
• Lead prioritization of IAM features, enhancements, and platform capabilities based on business value, user impact, operational efficiency, and control requirements
• Oversee the full product lifecycle including discovery, roadmap development, delivery, launch, and post-release evaluation
• Support delivery through release planning, dependency management, readiness tracking, and stakeholder communication
• Monitor product performance, adoption, and feedback to inform roadmap adjustments and continuous improvement
• Maintain alignment across teams on priorities, dependencies, and success metrics
• Develop and present business cases, roadmap updates, and product insights to senior leadership
• Establish and reinforce product management practices, governance, and operating rhythms within the IAM domain
• Lead, coach, and develop product management talent to drive accountability and consistency
• Maintain awareness of IAM trends, emerging technologies, and regulatory considerations to inform product direction
• Partner with technology and control teams to ensure solutions meet standards for performance, resiliency, accessibility, and interoperability

VP, Product Manager – Identity & Access Management

• Support the development and execution of the IAM product strategy, roadmap, and delivery priorities aligned to business objectives, user needs, and risk considerations.
• Partner with engineering, architecture, cybersecurity, operations, and business stakeholders to define product requirements and translate strategic priorities into actionable plans.
• Own prioritization of features, enhancements, defects, and technical dependencies for assigned IAM capabilities.
• Create, refine, and maintain epics, features, user stories, and acceptance criteria to support effective agile delivery.
• Serve as the primary product partner for Scrum teams supporting IAM capabilities, ensuring alignment between stakeholder needs and delivery execution.
• Support product delivery through backlog management, release planning, dependency coordination, readiness activities, and post-release follow-up.
• Gather and synthesize feedback from users, stakeholders, and partner teams to inform product decisions and continuous improvement.
• Monitor product adoption, delivery outcomes, and stakeholder feedback to identify improvement opportunities and inform roadmap tradeoffs.
• Collaborate across teams to maintain alignment on priorities, timelines, dependencies, and success measures.
• Help prepare product updates, roadmap materials, and progress reporting for leadership and key stakeholders.
• Partner with control and technology teams to ensure IAM solutions support appropriate standards for security, resiliency, accessibility, and operational effectiveness.
• Stay current on IAM trends, emerging technologies, and industry best practices to inform product enhancements and delivery decisions.
• Contribute to the evolution of product management practices within the IAM domain, including stakeholder engagement, execution discipline, and ways of working.

AVP, Product Manager – Identity & Access Management

Data Engineer

• Lead and manage the Party Referenced Data team, providing strategic direction, technical leadership, and mentorship while architecting and implementing cloud-native platforms using AWS services such as Glue, Lambda, EventBridge, S3, RDS, and MSK.
• Drive modernization by migrating legacy systems to scalable cloud solutions, integrating third-party data providers like S&P Global’s Markit and Dun & Bradstreet for accurate KYC/AML data ingestion and enrichment.
• Design and maintain robust data models for clients, counterparties, issuers, and legal entities, establishing governance frameworks for validation, deduplication, survivorship, and lineage tracking.
• Develop APIs and data services for CRM, trading, compliance, and reporting platforms, ensuring observability, resilience, and compliance with privacy and cybersecurity standards.
• Collaborate with business stakeholders to translate technical concepts into actionable solutions, champion continuous improvement through emerging technologies, and lead Agile delivery processes using Jira.

VP, Principal Data Engineering – Data Services

Platform Engineer

• Develop and lead infrastructure platform engineering team responsible for cloud enterprise data platform architecture and engineering
• Lead database platform transformation/modernization supporting always-on enterprise applications and services
• Accelerate infrastructure transformation to provision / manage infrastructure through infrastructure as code (IaC) to enable self-service and reduce handoffs
• Collaborate with IT stakeholders to develop, communicate and execute a multi-year technology strategy to simplify architecture and delivery model
• Partner with architecture team to drive tool and data platform alignment to modern data architecture practices (modern data stack)
• Provide thought leadership for platform and data architecture as move transition to hybrid-cloud
• Provide Tier 2,3 engineering support ensuring effective 24x7x365 support for assigned technology including vendor escalation
• Partner with Disaster Recovery and Business Continuity organizations to integrate disaster recovery processes with day-to-day technology engineering and operations
• Build / Maintain strong partnerships with IT stakeholders including Delivery Engineering, Application Development, Architecture, Security and Operations to ensure technology investment enables/drives business strategy
• Foster and drive organizational change through technology and process optimization
• Establish KPIs to measure organization performance and effectiveness
• Manage ongoing vendor relationships including evaluation products and services
• Develop / attract / retain top talent to build and maintain a world class organization

VP, Platform Engineering – Database

• Present portfolio health to executive team (CIO Direct) monthly
• Identify, elevate and resolve critical portfolio insights, opportunities and gaps
• Lead portfolio lead bi-weekly meetings for an executive audience
• Coordinate with program managers, technology and business executives to assure OKRs are aligned within the portfolio and to enterprise goals
• Talent Management for program managers, portfolio leads, release train engineers and scrum masters
• Be a resource to portfolio, program and project managers in developing upfront estimates of time and resource utilization through organized discovery with stakeholders
• Manage the portfolio budget, coordinate with finance leadership to ensure funds are used efficiently
• Arbitrate and resolve conflict within the portfolio when necessary.
• Understand when escalation is appropriate and provide clear definition of impediments to executives
• Assist organizational change management and enterprise intake control in defining the changes requested by stakeholders and prioritize those that will result in the best outcome for the firm.
• Plan and manage out-sourced projects and 3rd party vendors when necessary
• Create and maintain monthly executive reporting standards

VP, Technology Portfolio Management – Data, Analytics & AI

• Serve as the primary point of contact for advisors and field leaders.
• Own advisor inquiries end-to-end, clarify requirements, and deliver timely resolutions.
• Gather, analyze, and interpret compensation and financial data to fulfill complex research requests.
• Design and deliver tailored training, job aids, and presentations.
• Provide practical, client-ready guidance on compensation practices, policies, and procedures.
• Continuously improve processes and controls by using trends and feedback.
• Support core operational duties as needed to ensure service continuity.
• Contribute to special projects and initiatives by evaluating opportunities and developing recommendations.

Senior Analyst, Compensation

Cloud Engineer

• Set and evolve the multi-year technical strategy for cloud tooling, IaC, and developer experience across all five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the five Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring)
• Define and govern Terraform code architecture standards: module library curation, versioning, deprecation, contribution patterns, and module quality gates
• Architect and operate the self-service infrastructure vending platform, including Account Factory for Terraform (AFT), Service Catalog, golden paths, and Internal Developer Platform (Backstage-class) integration
• Establish enterprise standards for IaC quality: pre-commit, policy-as-code (Sentinel / OPA), security and compliance scanning, drift detection, and automated remediation
• Act as the primary technical liaison between CCOE and Enterprise Architecture, Information Security, and Application Engineering
• Drive engineering excellence across CCOE: code review standards, pairing culture, on-call quality, post-incident review discipline, and continuous improvement of the developer experience
• Embed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self-service experience for internal customers
• Drive the technical strategy for embedding agentic AI capabilities into the self-service platform: agentic IaC generation, automated PR review, MCP-backed agents for internal data, and conversational interfaces that let internal customers self-serve common requests
• Operate as a senior individual contributor with dotted-line technical leadership to all five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the five Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring) — leading cloud strategy and technical architecture across the organization
• Mentor and uplift senior engineers, AVPs, and VPs across CCOE through code review, design partnership, technical pairing, architecture guidance, and certification-path technical advice per the CCOE certification matrix — acting as a force multiplier without direct reports
• Personally participate in 24x7 on-call rotations as senior incident commander and cross-CCOE technical escalation point

Principal Engineer, Cloud Strategy Lead

Mechanical Engineer

• Lead the Functional Design Engineering & Strategy pod within the Foundations team in CCOE; partner with Enterprise Architecture, Information Security, the other Foundations pods (Security & Governance, FinOps, Network Engineering, Monitoring), and the Platforms, Containers, Support, and Delivery teams to translate enterprise architecture intent into implementable, well-architected, code-driven solutions
• Take high-level designs from architects and produce detailed, opinionated, build-ready engineering specifications aligned to the AWS Well-Architected Framework and LPL standards
• Define and curate the cross-CCOE reference pattern library: domain-tagged Terraform module bundles, reference architectures, anti-patterns, and architecture decision records (ADRs)
• Partner closely with the Principal Engineer, Cloud Strategy Lead so that tooling, IaC, and self-service platform strategy stay aligned with enterprise design direction
• Lead design reviews, architecture review boards, and engineering deep-dives across all five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the four peer Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring)

VP, Functional Design Engineering

Network Engineer

• Lead the Network Engineering pod within the Foundations team in CCOE
• own AWS network architecture, implementation, and operations across multi-account landing zone
• Design, build, and operate Transit Gateway, VPCs, PrivateLink and hybrid connectivity over Direct Connect
• Partner with VP, Security & Governance to design, automate, and enforce network-layer security controls
• Translate regulatory requirements into network and connectivity controls
• Build and maintain Terraform code that defines foundational network layer
• Drive network strategy for new patterns
• Embed AI capabilities into engineering practice
• Recruit, develop, mentor, and retain a globally distributed team
• Operate as a player-coach in incident command

VP, Network Engineering

• Codify and continuously improve LPL's cloud control library — Security Hub CSPM as today's AWS-native control system, AWS Config with custom conformance packs to express controls as code, and additional control-management systems as the landscape evolves — and triage, investigate, and drive resolution of Security Hub findings within CCOE
• Partner with the Security Engineering team within LPL's enterprise Information Security organization (a peer of Security Architecture), which manages Wiz, to jointly monitor Wiz signal and drive resolution of Wiz findings, recognizing that Wiz and Security Hub findings frequently diverge
• Contribute directly to the Account Factory for Terraform (AFT) foundational base layer — security-control modules, Service Control Policies, AWS Config conformance packs, and reference patterns — so the secure-by-default posture is a property of the platform every account inherits
• Support LPL's enterprise vulnerability management department on cloud-workload findings: assist with triage, prioritization, and remediation guidance for findings that originate in or affect AWS, without owning vulnerability management end-to-end
• Operate as the security & governance partner across every CCOE team and pod — Foundations (FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring), Platforms, Containers, Support, and Delivery — since Security & Governance is involved in every aspect of CCOE; embed security and governance review into design, code, and delivery touchpoints
• Partner closely and day-to-day with the Network Engineering pod within Foundations (VP, AVP, and engineers) on shared network-security controls: segmentation and micro-segmentation, ingress/egress inspection, encryption in transit, WAF, Shield, and certificate lifecycle
• Collaborate cross-organization with Security Architecture and Security Engineering — peer teams within LPL's Information Security organization — to evaluate, pilot, and operationalize additional security solutions (CNAPP, CSPM, CWPP, runtime defense, DSPM, secrets scanning) and to ensure CCOE's posture meets InfoSec and application-team requirements
• Translate regulatory requirements (FINRA, SEC, PCI, SOX) into automated, code-reviewed controls; lead cloud-security incident response within CCOE's scope as a senior responder; partner with Internal Audit and Information Security on evidence collection, attestation, and audit response; drive blameless post-incident reviews to durable control improvements
• Embed agentic AI capabilities into the team's engineering practice (e.g., Cursor, Claude Code, Bedrock, MCP servers, agentic IaC and review workflows) and into the platform's self-service experience for internal customers
• Embed agentic AI capabilities into security governance: AI-assisted triage of Security Hub and Wiz findings, automated control authoring (Terraform and AWS Config conformance pack drafts from natural-language intent), conversational interfaces for control inquiries, and MCP-backed agents that join Security Hub, AWS Config, Wiz signal, and Terraform context into one queryable view
• Operate as a hands-on senior cloud engineer: spend the majority of your time in Terraform code, security tooling configuration, vulnerability remediation, design reviews, peer reviews, and incident response — hands-on engineering is the primary leverage point
• Personally participate in 24x7 on-call rotations as a senior technical responder and escalation point for production incidents
• Partner with peer engineers, AVPs, and VPs across the Cloud Center of Excellence — the five CCOE teams (Foundations, Platforms, Containers, Support, Delivery) and the five Foundations pods (Security & Governance, FinOps, Functional Design Engineering & Strategy, Network Engineering, Monitoring) — to align roadmaps and remove cross-team and cross-pod blockers
• Champion AWS Well-Architected Framework adoption (with emphasis on the Security pillar) and drive continuous improvement against operational, security, reliability, and compliance outcomes
• Contribute to the private Terraform module library and the Account Factory for Terraform (AFT) foundational base layer, including security-control modules and reference patterns
• Raise engineering quality across the pod through code review, design partnership, and technical pairing — acting as a force multiplier without direct reports
• Participate in Agile/Scrum ceremonies (sprint planning, standups, backlog grooming, retrospectives) and partner with the RTE and PMO on delivery commitments and dependencies
• Represent the pod's security posture in architecture review boards, internal audit, and customer engagements; communicate technical risk and trade-offs clearly to engineers and to non-technical executives

AVP, AWS Security Engineer

Strategy

• Own and optimize the business rhythms of Service, including strategic planning cycles, business performance, financial tracking, and executive reporting
• Partner with Service leadership to define, refine, and drive the long term strategy for Service
• Develop strategic business cases and executive ready materials for the President, Board of Directors and Operating Committees
• Analyze industry or business trends, performance data, and market shifts to inform strategic direction
• Drive executive reporting by shaping narratives, preparing materials, and ensuring leadership is fully informed on priorities, risks, and outcomes
• Partner with leadership to oversee core business operations, including headcount management, hiring, capacity reporting, budget, and leadership offsites
• Synthesize enterprise insights by gathering data, analyzing trends, and translating complex information into clear recommendations
• Coordinate cross-functional alignment across Service and partner teams to ensure clarity on priorities and interconnected initiatives
• Stand up and lead special projects and events in partnership with Service leadership, inclusive of event planning
• Enable leadership effectiveness by monitoring issues, maintaining key relationships, & anticipating needs to support the success of the Service organization
• Support talent planning and departmental operating reviews in partnership with HR, Finance, Data & Analytics, and Business Leaders
• Conduct structured problem solving to uncover insights and shape recommendations that enhance execution and business outcomes
• Support the implementation and adoption of key initiatives through structured change management, communication, and stakeholder engagement
• Act as a thought partner to department heads and frontline leaders to translate strategy into action

AVP, Strategy & Business Management

Security Analyst

• Support a technology team to document, report, and track findings from risk-based discussions
• Ensure leaders maintain actionable visibility into risk priorities based on information security policies, controls, audits, and regulatory requirements
• Ensure information security risks are managed and controlled
• Build relationships with technology and business leaders to align on risk priorities
• Coordinate governance activities to deliver secure technology solutions on time
• Act as a liaison among Information Security, Enterprise Risk Management, Corporate Compliance, and Audit teams
• Maintain knowledge of current and emerging technologies to assess and contextualize risk
• Promote awareness of current security policies and standards
• Schedule and facilitate meetings, capturing key decisions, risks, and actions
• Track activities and deliver executive-level reporting on risk exposure, trends, and remediation progress
• Develop and enhance dashboards using visualization tools for insights into cybersecurity posture
• Leverage data analytics and AI-driven capabilities for risk prioritization and reporting