{"id":1964625,"url":"https://alion.io/job/green-dot-director-data-management","title":"Director, Data Management","company":{"id":1752890,"name":"Green Dot","domain":"greendot.com","url":"https://alion.io/company/greendot-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":179700,"max":259900,"currency":"USD","period":"year","gross":null,"usd_annual":259900},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Informatica","optional":false},{"name":"Jenkins","optional":false},{"name":"PCI DSS","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T16:54:45Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-06T20:23:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips.\nThis position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.\n\nJOB DESCRIPTION\nLocation Requirement\nThis position is open only to candidates who currently reside in one of the following approved locations:\nLos Angeles, CA\nAbout the Role\nGreen Dot is 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.\nKey Responsibilities\nLead the design, development and optimization of data warehouse solutions using AWS Redshift\nDefine and execute the enterprise data strategy, architecture roadmap and modernization initiatives.\nArchitecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories. \nDesigning 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 IDMC\nEnsure high availability, performance tuning, Scalability and reliability of data platforms and pipelines. \nDeveloping scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks. \nDesigning and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models. \nEnsures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability. \nDelivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders. \nLeading and coordinating the design and operationalization of Data Governance capabilities like - data lineage, data catalog, data quality, etc. \nProblem-solving of Data warehouse and ODS application issues and production errors, including high level critical production issues that require immediate attention. \nWrite, test and produce production grade ETL data pipeline code in financial services without relying on testing by other groups.\nImplement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.\nLeads 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.\nIntegrate test suites into CI/CD pipelines (Jenkins, Github).\nMetadata & 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.\n\nLead data governance rigors related to data practice in the company establishing data governance framework, policies and procedures\nMaintain documents related to data mapping and logic\nPartner with Data Analytics team, business and compliance teams to ensure adherence to regulatory requirements, data privacy and security standards\nLead governance initiatives related to AI model usage, ethical AI practices and responsible on data utilization\nPartner with business and business teams driving generative AI initiatives. Evaluate and implement AI driven data management capabilities including automation, data classification and governance.,\nLead and mentor a large team of data engineering team\nPartner with executive leadership and business stakeholders to align data initiatives with strategic projects.\nManage vendor relationships with AWS and Informatica, Project budgets and technology evaluations.\nCross-Functional Leadership: Partner with Finance, HR, and Product to ensure data governance supports cost optimization, internal mobility, and product alignment goals\nChange Management: Strengthen compliance oversight and accountability over change management processes impacting data\nEnterprise Data Security: Partners with CISO and develop measures to protect sensitive customer data from unauthorized access or breaches.\nRequired Qualifications\nBachelor’s and/or master’s degree in computer science, Computer Engineering or related field preferred. \n10+ years of experience in enterprise Datawarehouse, data engineering or analytics platforms\n5+ years in leadership or management roles overseeing enterprise data teams\nStrong hands-on experience withAWS Redshift\nInformatica IDMC\nCloud based ETL/ELT architecture\nSQL Optimization\nData Lineage\nData Quality\n\nExperience in implementing data governance programs\nStrong understanding ofData Modeling\nMetadata Management\nData Quality Frameworks\nData Security and compliance standards\n\nExcellent Communication, executive stakeholder management skills and the ability to navigate relationships across business units. \n3+ years of development experience with Python scripting experience. \nKnowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS). \nDemonstrated expertise in performance tuning in various DB environments with large volumes of data. \nFamiliarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools. \nExpertise in understanding complex business needs, analyzing, designing, and developing solutions. \nExperience with metadata management, data lineage tools, and data quality frameworks.\nDeep understanding of regulatory frameworks (e.g., FRB, BSA/AML, UDAAP).\nFamiliarity with cloud platforms (AWS, Azure) and open-source governance.\nPreferred Qualifications\nFinancial technology domain knowledge\nMicrosoft Azure Data Engineer or other cloud certifications\n**Ability to work in the U.S. without sponsorship**\n**Ability to meet the location requirement outlined above**\nPOSITION TYPE\nRegularPAY RANGE\nThe targeted full-time base salary for this position is $179,700 to $259,900 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.\n\nWe’re Here to Support You-Accommodations Upon Request\nGreen Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.\nWork Authorization Requirement\nAt Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.\nImportant Notice on Application Accuracy\nWe value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. 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