Vice President, Data Services

LPL Financial Services•Austin, TX

43d

About The Position

LPL Financial is seeking a Vice President, Data Services to lead our Reference Aata Master team within the Data & Analytics organization. This role is ideal for a seasoned technical leader with deep expertise in party reference data management, cloud-native architectures, and enterprise data engineering. You will be responsible for driving the strategy, design, and delivery of scalable, secure, and high-quality party data solutions that support critical business functions including client onboarding, KYC/AML, regulatory reporting, and operational efficiency.

Requirements

10+ years of experience in data engineering, software development, or cloud infrastructure, with a strong focus on party or entity reference data.
5+ years in a leadership role, managing technical teams and delivering enterprise-scale data solutions.
Expertise in AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Strong experience with data mastering, identity resolution, and golden record creation for party data.
Proficiency with relational and cloud-native databases, such as Snowflake, Aurora, Postgres, and MSSQL.
Familiarity with CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and DevOps practices.
Excellent communication and stakeholder management skills, with the ability to influence across technical and business teams.

Nice To Haves

AWS certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.

Responsibilities

Lead and manage the Party Referenced data team, providing strategic direction, technical leadership, and mentorship to senior developers and data engineers.
Architect and implement cloud-native party data platforms using AWS services (e.g., Glue, Lambda, Event Bridge, S3, RDS, MSK).
Modernize legacy party data systems, leading the migration from on-premises to scalable, cloud-based solutions.
Integrate and manage third-party data providers, including S&P Global's Markit, Dun & Bradstreet, and other KYC/AML data sources, ensuring accurate and timely ingestion and enrichment of party data.
Design and maintain robust data models for party entities such as clients, counterparties, issuers, and legal entities.
Establish data quality and governance frameworks, including validation, deduplication, survivorship, and lineage tracking.
Develop APIs and data services to deliver party data to downstream systems including CRM, trading, compliance, and reporting platforms.
Ensure platform observability and resilience, implementing monitoring, alerting, and self-healing capabilities.
Collaborate with enterprise architects and security teams to ensure compliance with data privacy, regulatory, and cybersecurity standards.
Engage with business stakeholders, translating complex technical concepts into actionable business solutions.
Drive continuous improvement, evaluating emerging technologies and best practices in data mastering, identity resolution, and cloud engineering.
Participate in Agile delivery processes, managing epics, stories, and sprint planning using Jira and related tools.