AVP, Lead Data Analyst

Lead the definition, documentation, and management of data requirements, business rules, and data standards for assigned enterprise data domains. Conduct data analysis and data profiling activities to identify data quality issues, validate business requirements, and support data management initiatives. Partner with Data Stewards, Data Owners, business stakeholders, and technology teams to establish and maintain authoritative data sources and ensure alignment with enterprise data standards. Develop and maintain key data management artifacts, including data lineage documentation, data mappings, data dictionaries, business glossaries, and data catalogs. Collaborate with Enterprise Data Modelers and technology teams to create and enhance conceptual and logical data models that align with the Enterprise Data Model. Support the implementation and adoption of data governance practices by promoting consistent definitions, standards, and processes across the organization. Investigate and assist in resolving data quality and data integrity issues through root cause analysis and corrective action recommendations. Provide subject matter expertise on enterprise data domains and influence data design decisions to support business and technology objectives. Mentor junior team members and promote best practices in data management, data governance, and documentation. Drive continuous improvement efforts related to data lifecycle management, governance processes, standards, and operational efficiency. 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 are able to execute in a way that encourages creativity and continuous improvement.

10+ years of experience in Data Analysis, Systems Analysis, Data Management, or Data Development. Advanced SQL expertise, including DDL, DML, and data profiling. Experience with SQL Server, Oracle, and Data Lake platforms. Experience with conceptual, logical, and physical data modeling using Erwin or similar tools. Experience developing and maintaining enterprise data management artifacts (data dictionaries, catalogs, lineage, glossaries, and metadata repositories). Core Competencies: Data Analysis & Critical Thinking Data Governance & Stewardship Stakeholder Collaboration & Influence Documentation & Requirements Management Strategic Perspective Problem Solving Communication Skills Leadership & Mentorship Continuous Improvement Mindset Preferences: Financial Services industry experience. Experience working in Agile environments. Knowledge of service-oriented and message-based integration architectures. Experience supporting enterprise data governance initiatives. LPL Global Business Services, LLP - PRIVACY POLICY .