VP, Data Intelligence Transformation at LPL Financial | Charlotte, NC, US | Rezi

VP, Data Intelligence Transformation at LPL Financial

VP, Data Intelligence Transformation

LPL Financial · Charlotte, NC, US

Today

VP, Data Intelligence Transformation

LPL Financial · Charlotte, NC, US

18 hours ago
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About the Role

The VP, Data Intelligence Transformation is responsible for defining, building, and operationalizing the enterprise Data Intelligence strategy across LPL Financial's integrated data and AI engineering organization. This role serves as a horizontal connector across enterprise data, analytics, AI, and distribution capabilities, establishing the operating model, architecture patterns, governance practices, and technical delivery required to transform governed enterprise data into trusted, reusable intelligence.

Responsibilities

  • Define and lead the enterprise Data Intelligence operating model, including ownership frameworks, lifecycle practices, governance standards, intake processes, prioritization mechanisms, and delivery models.
  • Establish and evolve the Cyan Intelligence Marketplace as the enterprise discovery and consumption layer for trusted data products, semantic assets, metadata, context services, APIs, and governed access capabilities.
  • Lead strategy and technical delivery for enterprise semantic and contextual intelligence services that provide consistent business meaning across analytics, reporting, applications, digital experiences, and AI solutions.
  • Drive implementation of marketplace capabilities supporting data distribution, API enablement, MCP development, governed MCP access, and additional consumer access channels.
  • Create an integrated data value lifecycle that connects foundational data platforms, curated assets, semantic services, context management, distribution mechanisms, and consumer-facing experiences.
  • Partner with AI Engineering and Cyan stakeholders to enable scalable access to authoritative data, business semantics, and contextual intelligence through reusable and governed patterns.
  • Establish enterprise standards and technical patterns for APIs, events, data sharing, semantic access, and MCP-based consumption, including associated controls, operational expectations, and delivery practices.
  • Drive consistency across key business domains by partnering with data owners and engineering teams to resolve data definition, lineage, mastering, reference data, and source-of-truth decisions.
  • Own and manage the cross-LENSai Data Intelligence roadmap, including dependency management, capability sequencing, implementation priorities, and enterprise adoption planning.
  • Develop performance measures and operating mechanisms that monitor reuse, trust, consumer adoption, time-to-consumption, and business value realization.
  • Partner with architecture, security, risk, governance, and technology leaders to ensure Data Intelligence capabilities meet security, resiliency, observability, compliance, and regulatory requirements.
  • Lead executive communications, governance forums, and decision-making processes related to Data Intelligence investments, priorities, tradeoffs, and business outcomes.
  • Evaluate build-versus-buy decisions and vendor solutions that support semantic, context, metadata, data consumption, integration, and intelligence marketplace objectives.

Requirements

  • 15+ years of progressive leadership experience across enterprise data, data platforms, technology strategy, engineering, architecture, product management, or technical delivery functions.
  • Demonstrated experience defining and implementing enterprise operating models and translating strategy into executable roadmaps, governance frameworks, and measurable outcomes.
  • Experience across the enterprise data lifecycle, including data platforms, data modeling, data mastering, semantic technologies, metadata management, data products, APIs, event-driven architectures, and modern consumption patterns.
  • Experience enabling analytics, reporting, digital products, AI, or agent-based solutions through governed enterprise data, business context, and reusable intelligence capabilities.
  • Experience leading cross-functional initiatives, influencing stakeholders without direct authority, and communicating complex technical concepts to executive audiences.

Skills

  • Data Intelligence strategy
  • Data and AI engineering
  • Operating model definition
  • Architecture patterns
  • Governance practices
  • Technical delivery
  • Data transformation
  • Analytics
  • Reporting
  • Applications
  • Digital products
  • AI experiences
  • Cyan Intelligence Marketplace
  • Enterprise semantic services
  • Context management capabilities
  • Data discovery
  • Data consumption
  • Data distribution
  • API enablement
  • MCP development
  • Data value lifecycle
  • Data platforms
  • Curated assets
  • Semantic services
  • Context management
  • Distribution mechanisms
  • Consumer-facing experiences
  • Authoritative data access
  • Business semantics
  • Contextual intelligence
  • Reusable patterns
  • Enterprise standards
  • Event-driven architectures
  • Data sharing
  • Semantic access
  • MCP-based consumption
  • Data definition
  • Data lineage
  • Data mastering
  • Reference data
  • Source-of-truth decisions
  • Roadmap management
  • Dependency management
  • Capability sequencing
  • Implementation priorities
  • Enterprise adoption planning
  • Performance measures
  • Operating mechanisms
  • Reuse monitoring
  • Trust monitoring
  • Consumer adoption monitoring
  • Time-to-consumption monitoring
  • Business value realization monitoring
  • Security requirements
  • Resiliency requirements
  • Observability requirements
  • Compliance requirements
  • Regulatory requirements
  • Executive communications
  • Governance forums
  • Decision-making processes
  • Build-versus-buy analysis
  • Vendor solution evaluation
  • Metadata management
  • Integration
  • Intelligence marketplace objectives
  • Transformative thinking
  • Integrity in governance and technology decisions
  • Client success focus
  • Cross-functional influence
  • Collaboration
  • Alignment
  • Simplification
  • Measurable impact
  • Data quality controls
  • Data security controls
  • Data privacy controls
  • Data lineage controls
  • Data resiliency controls
  • Data classification controls
  • Data monitoring controls
  • Regulated data usage controls
  • Financial services industry knowledge
  • Wealth management industry knowledge
  • Asset management industry knowledge
  • Advisor data familiarity
  • Account data familiarity
  • Position data familiarity
  • Transaction data familiarity
  • Security data familiarity
  • Entity data familiarity
  • Performance data familiarity
  • Financial data domains familiarity
  • AWS familiarity
  • Snowflake familiarity
  • Cloud-based data ecosystems familiarity
  • Semantic technologies familiarity
  • API architectures familiarity
  • Microservices architectures familiarity
  • MCP capabilities familiarity
  • AI-enabled data platforms familiarity
  • Global engineering leadership
  • Global architecture leadership
  • Global product leadership
  • Global analytics leadership
  • Global data organization leadership
  • Large-scale transformation initiatives leadership

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • 15+ years of progressive leadership experience
  • Senior individual contributor

Salary/Compensations

  • $163,900.00 - $273,100.00

Benefits

  • 401K matching
  • Health benefits
  • Employee stock options
  • Paid time off
  • Volunteer time off

About the Company

  • LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S.
  • As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans.
  • The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
  • At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business.
  • They have the flexibility to do business their way.
  • And they have the freedom to manage their client relationships, because they know their clients best.
  • Simply put, we take care of our advisors and institutions, so they can take care of their clients.
  • For further information about LPL, please visit www.lpl.com.
  • Join the LPL team and help us make a difference by turning life’s aspirations into financial realities.

Equal Opportunity

  • Principals only.
  • EEO