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Fort Mill, South Carolina, United States
Hybrid
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
As AVP, Data Product Analyst, you will have the opportunity to shape LPL’s strategic data foundation for the future. In this role, you will connect Business product owners with Technology delivery teams using data to power applications and experiences for our Advisors and Investors. You will be accountable for multiple domains of data that power products including Advisor and Investor platforms, performance reporting, supervision, account lifecycle management, billing, compensation, trading, money movement, proposal generation, CRM, BI reporting and institutional data distribution, etc.
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.
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.
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.
Perform technical traceability mapping and data lineage tracking.
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.
Update central metadata repository with business metadata content including business terms, definitions, classifications, and data quality rules.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and can execute in a way that encourages creativity and continuous improvement.
Requirements:
Minimum of 7 years’ experience in data warehouse design, data management, data governance, business intelligence and analytics, or similar; and a minimum of 7 years and expert level use of reading and coding in SQL.
Minimum of 5 years’ experience with business intelligence tools and report development in tools like Tableau, Microsoft PowerBI, Domo, Qlik, Sisense, etc.
Experience in individual contributor-level data management roles like data analyst, data modeler, data pipeline engineer, BI analyst, or developer.
Knowledge base of data governance including data quality rules coding and implementation, data catalogs, quality scorecard development, data lineage, mastering data, and reference data management.
Experience using (data steward) or implementing (technology) data governance tools like Collibra, AWS Datazone, Alation, atlan, data.world, etc.
Experience coding or reading and understanding data transformations in pipelines.
Hands-on data analysis, source-to-target mapping, data lineage tracing, remediation, etc.
Experience designing and implementing a variety of data architecture patterns.
Experience using and developing in a variety of RDBMS like AWS, Databricks, Snowflake, Redshift, etc.
Wealth management and wealth advisory services industry experience.
Prior people leadership experience.
Prior experience in a data product management role
Agile and lean delivery methods and associated tools like Confluence, Jira, etc.
Solid understanding of relational, star, snowflake data modeling.
** Candidates must be based near an LPL primary office and work a hybrid schedule. Preferred locations are Charlotte/Fort Mill, SC or New York City (Midtown Manhattan), where most of the team is located.
Pay Range:
$103,309.00 - $172,113.00Company Overview:
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(6) , 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. For further information about LPL, please visit www.lpl.com.
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. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26