VP, Data Intelligence Transformation

LPL Financial

. Define and lead the enterprise Data Intelligence operating model, including ownership frameworks, lifecycle practices, governance standards, intake processes, prioritization mechanisms, and delivery models .

Posted 9/22/2026full-timeUnited StatesLead💰 $163,900 - $273,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive leadership in enterprise data management, including the development and execution of data intelligence operating models, governance frameworks, and API strategies. Proficient in driving data quality, security, and compliance within regulated industries, while enabling analytics and AI solutions through effective data lifecycle management.

Highest-signal resume keywords

Enterprise Data ManagementData Intelligence Operating ModelAPI and Microservices ArchitecturesGovernance FrameworksData Quality and Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PlatformsData ModelingData MasteringSemantic TechnologiesMetadata ManagementEvent-Driven ArchitecturesAnalytics and ReportingDigital ProductsAI SolutionsCross-Functional Leadership

Soft Skills

Influencing StakeholdersExecutive CommunicationComplex Problem Solving

Tools & Technologies

AWSSnowflakeCloud-Based Data EcosystemsMCP CapabilitiesAI-Enabled Data Platforms

Industry Keywords

Financial ServicesWealth ManagementAsset ManagementRegulated IndustriesData Governance

Tech Stack

Tools & technologies

AWSCloudMicroservices

About the role

Key responsibilities & impact

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 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 connecting 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
Drive consistency across business domains by resolving data definition, lineage, mastering, reference data, and source-of-truth decisions
Own and manage the cross-LENSai Data Intelligence roadmap, including dependencies, sequencing, priorities, and adoption planning
Develop performance measures monitoring reuse, trust, consumer adoption, time-to-consumption, and business value realization
Partner with architecture, security, risk, governance, and technology leaders on security, resiliency, observability, compliance, and regulatory requirements
Lead executive communications, governance forums, and decision-making for Data Intelligence investments and outcomes
Evaluate build-versus-buy decisions and vendor solutions supporting semantic, context, metadata, data consumption, integration, and intelligence marketplace objectives

Requirements

What you’ll need

15+ years of progressive leadership experience across enterprise data, data platforms, technology strategy, engineering, architecture, product management, or technical delivery functions
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
Experience establishing controls for data quality, security, privacy, lineage, resiliency, classification, monitoring, and regulated data usage
Experience within financial services, wealth management, asset management, or related regulated industries
Familiarity with advisor, account, position, transaction, security, entity, performance, or related financial data domains
Experience with AWS, Snowflake, cloud-based data ecosystems, semantic technologies, API and microservices architectures, MCP capabilities, or AI-enabled data platforms
Experience leading globally distributed engineering, architecture, product, analytics, or data organizations through large-scale transformation initiatives

Benefits

Comp & perks

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
Competitive LPL Total Rewards package