Director Data Management

Job Title: Director, Data ManagementLocation: Los Angeles, CAWorksite: HybridAbout WCTWCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world’s most innovative companies. As a WCT employee, you’ll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.About the RoleWe are seeking a strategic and execution-focused Engineering Leader to lead the enterprise-wide data warehousing practice. This role will be responsible for leading the engineering aspect of data warehouse initiatives across all business units in terms of design, development and quality making sure the practice adheres to data governance. This position also leads the Data Governance practice and AI drive in the data spaces leveraging AWS Redshift, Informatica and Claude AI. It also defines data security and adheres to compliance rigors across data needs for all business units. You will partner closely with Technology, Risk, Compliance, and Product teams to drive data quality, lineage, and stewardship initiatives that support regulatory obligations and business growth.Key ResponsibilitiesLead the design, development and optimization of data warehouse solutions using AWS RedshiftDefine and execute the enterprise data strategy, architecture roadmap and modernization initiatives.Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams leveraging Informatica IDMCEnsure high availability, performance tuning, Scalability and reliability of data platforms and pipelines.Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models.Ensures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders.Leading and coordinating the design and operationalization of Data Governance capabilities like data lineage, data catalog, data quality, etc.Problem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention.Write, test and produce production grade ETL data pipeline code in financial services without relying on testing by other groups.Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations, and automation.Integrate test suites into CI/CD pipelines (Jenkins, Github).Metadata & Lineage Management: Oversee the implementation of tools and processes for metadata capture, data lineage tracking, and cataloging. Ensures data quality, completeness and consistency through carious quality checks and monitoring.Lead data governance rigors related to data practice in the company establishing data governance framework, policies and proceduresMaintain documents related to data mapping and logicPartner with Data Analytics team, business and compliance teams to ensure adherence to regulatory requirements, data privacy and security standardsLead governance initiatives related to AI model usage, ethical AI practices and responsible on data utilizationPartner with business and business teams driving generative AI initiatives. Evaluate and implement AI driven data management capabilities including automation, data classification and governance., Lead and mentor a large team of data engineering teamPartner with executive leadership and business stakeholders to align data initiatives with strategic projects.Manage vendor relationships with AWS and Informatica, Project budgets and technology evaluations.Cross-Functional Leadership: Partner with Finance, HR, and Product to ensure data governance supports cost optimization, internal mobility, and product alignment goalsChange Management: Strengthen compliance oversight and accountability over change management processes impacting dataEnterprise Data Security: Partners with CISO and develop measures to protect sensitive customer data from unauthorized access or breaches.Required QualificationsBachelors and/or masters degree in computer science, Computer Engineering or related field preferred.10+ years of experience in enterprise Datawarehouse, data engineering or analytics platforms5+ years in leadership or management roles overseeing enterprise data teamsStrong hands-on experience withAWS RedshiftInformatica IDMCCloud based ETL/ELT architectureSQL OptimizationData LineageData QualityExperience in implementing data governance programsStrong understanding of Data ModelingMetadata ManagementData Quality FrameworksData Security and compliance standardsExcellent Communication, executive stakeholder management skills and the ability to navigate relationships across business units.3+ years of development experience with Python scripting experience.Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).Demonstrated expertise in performance tuning in various DB environments with large volumes of data.Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools.Expertise in understanding complex business needs, analyzing, designing, and developing solutions.Experience with metadata management, data lineage tools, and data quality frameworks.Deep understanding of regulatory frameworks (e.g., FRB, BSA/AML, UDAAP).Familiarity with cloud platforms (AWS, Azure) and open-source governance.Preferred QualificationsFinancial technology domain knowledgeMicrosoft Azure Data Engineer or other cloud certificationsCompensation / Salary Range: The typical pay range for this role is: USD $170,000/Yearly - $190,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.WCT will accept applications and processes offers for these roles until the role is filled.Equal Employment Opportunity Declaration:WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.