LPL Financial

Growth Marketing

• Lead end-to-end program management for strategic growth programs, from planning through execution
• Develop and operationalize program governance frameworks
• Partner with the events team and external wholesalers on conference planning
• Serve as a trusted advisor to Sales leadership
• Perform quantitative and qualitative analyses to identify and define scalable best practices
• Gather insights and collaborate with cross-functional teams

AVP, Growth Manager

Data Engineer

• Lead the design, development, and support of party reference data applications, APIs, and data services.
• Partner with business stakeholders, architects, and engineering teams to deliver reference data solutions supporting client, counterparty, issuer, and legal entity domains.
• Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
• Support the modernization of legacy reference data platforms through migration to scalable cloud-based solutions.
• Integrate third-party reference data sources including Dun & Bradstreet, S&P Global, and other data providers to support enrichment, validation, and compliance requirements.
• Develop and support APIs and data services consumed by CRM, compliance, reporting, operations, and trading platforms.
• Implement data quality controls, validation rules, matching and deduplication processes, survivorship logic, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards, metadata management, and best practices.
• Participate in Agile planning, backlog refinement, estimation, sprint execution, and delivery activities using Jira.
• Provide technical leadership and mentorship to junior engineers and project team members.

Lead Data Engineer

Cloud Engineer

• Collaborate with customers/project teams to understand business requirements and capture technical requirements necessary to produce an infrastructure design
• Perform systems analysis and evaluations on existing application infrastructure to gain knowledge of the technologies and capabilities of the platform
• Be a subject matter expert in AWS security; identity access management; users, roles, policies, permissions, etc.
• Be a subject matter expert and be able to provide architectural and engineering guidance for AWS services: focusing on lambda, glue, RDS, step functions, etc.
• Define and develop new cloud Reference Architectures
• Participate in application roadmap planning with stakeholders, application teams and engineering groups
• Contributes to policies, procedures, and standards
• Collaborate with project team members as part of an agile well-formed team
• Utilize Jira consistently to track work and provide project status and updates
• Provide guidance and consultation on infrastructure deployments
• Performs capacity workload modeling and availability analysis for a variety of platforms and environments. Recommends changes/enhancements for improved systems availability, reliability, and performance.
• Promote and recommend opportunities for automation and efficiency gains
• Participates in the creation and maintenance of delivery metrics
• Execute on multiple efforts in parallel and proactively drive projects forward

AVP, Cloud Delivery Architect

Vice President

• Partner across product, technology, operations, service, and legal/compliance teams to align stakeholders, define solutions, and deliver outcomes that enhance both the client experience and LPL’s strategic position.
• Break down complex, ill-defined problems into clear hypotheses, decision points, and actionable solution paths—creating structure where none exists.
• Design future-state experiences that are intuitive, compliant, and operationally viable, while advocating for outcomes that improve adoption and satisfaction.
• Lead discovery and diligence efforts to evaluate capabilities, workflows, and operating models.
• Develop detailed, high-quality business requirements and workflow definitions that enable product and technology teams to build, integrate, and operationalize solutions.

VP Business Design and Solutions

• Lead and manage the execution of strategic initiatives from inception to completion, working closely with various business units and stakeholders.
• Develop detailed project plans, including scope, objectives, timelines, resource allocation, and success metrics.
• Monitor and report on the progress of strategic initiatives, identifying potential risks and roadblocks, and developing mitigation strategies.
• Facilitate cross-functional working groups and steering committees to ensure alignment and effective communication throughout the strategy activation process.
• Partner with senior leadership to define and refine strategic priorities, ensuring they are clearly articulated and understood across the organization.
• Develop and implement change management strategies to ensure smooth adoption of new processes, systems, and organizational structures resulting from strategic initiatives.
• Conduct post-implementation reviews and analyses to evaluate the effectiveness of activated strategies and identify areas for continuous improvement.
• Prepare and deliver compelling presentations to senior leadership and other stakeholders on strategy progress, challenges, and outcomes.
• Stay abreast of industry trends, competitive landscape, and emerging technologies to inform strategic planning and activation efforts.
• Contribute to the development of frameworks, tools, and best practices for effective strategy activation within LPL Financial.

AVP, Strategy Activation

Analyst

• Maintain the team’s initiative portfolio, including kanban-style tracking, 90-day plans, and detailed project plans
• Proactively identify risks, dependencies, and slippage across initiatives
• Create and maintain high-quality documentation that enables scalability and clean transitions
• Schedule and coordinate working sessions and stakeholder touchpoints
• Build concise, executive-ready updates that communicate progress, risks, decisions needed, and next steps
• Help implement consistent operating discipline standards across the team

Senior Analyst, Advisor Channel Strategy Activation

• Lead the design, development, and support of party reference data applications and services.
• Partner with architects and business stakeholders to implement data solutions supporting client, counterparty, issuer, and legal entity data domains.
• Build and maintain cloud-native data pipelines utilizing AWS services including Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
• Support modernization initiatives by migrating legacy reference data platforms to scalable cloud-based architectures.
• Integrate and manage third-party reference data providers such as Dun & Bradstreet, S&P Global, and other enrichment sources.
• Develop and maintain APIs and data services supporting compliance, CRM, operations, reporting, and trading systems.
• Implement data quality controls, validation frameworks, deduplication processes, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards and best practices.
• Participate in Agile ceremonies, backlog refinement, estimation, and technical delivery planning using Jira.
• Mentor junior engineers and provide technical guidance across project teams.
• Support platform monitoring, resiliency, performance tuning, observability, and operational excellence initiatives.

Sales Engineer

• Support Business Development Officers by preparing for prospect engagements, including coordinating materials, logistics, and internal alignment
• Manage and maintain prospect-facing content, including content library organization, version control, and customization for specific engagements
• Coordinate Home Office Visit (HOV) logistics and other high-stakes meetings, including stakeholder coordination and execution support
• Perform final deck polish to ensure materials are accurate, consistent, and presentation-ready for executive audiences
• Maintain Salesforce hygiene, ensuring pipeline data is accurate, up-to-date, and actionable for reporting and prioritization
• Support NDA and RFP processes by coordinating internal inputs, tracking progress, and driving timely completion
• Track key deal milestones (e.g., meetings, follow-ups, diligence steps) and ensure timely execution across stakeholders
• Draft and maintain internal deal materials, including prospect profiles
• Identify opportunities to improve process efficiency, standardization, and consistency across the sales lifecycle
• Partner with cross-functional teams (e.g., Marketing, Corporate Development, Legal, Transition) to remove execution friction and move deals forward

Institutional Sales Engineering Associate

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

• 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

• 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

AVP, Growth Manager

Lead Data Engineer

AVP, Cloud Delivery Architect

VP Business Design and Solutions

AVP, Strategy Activation

Senior Analyst, Advisor Channel Strategy Activation

Lead Data Engineer

Institutional Sales Engineering Associate

VP M&A, VP Quality Engineering

AVP Data Product Analyst

Account Transfers Analyst

VP, Product Manager – Identity & Access Management

AVP, Product Manager – Identity & Access Management

VP, Principal Data Engineering – Data Services

VP, Platform Engineering – Database