Sr. Works hard to create and be part of a Winning Team, Executive level communication including presentations, influence and education, One (1) year working on quality assurance or process improvement such as Lean, Execute a reliable second-line-of defense process via documented processes, controls, templates, and rigors, Collaborate closely with business and IT stakeholders in order to gather their data governance requirements, to understand their data, their (meta) data needs and business context, Workout the enterprise data governance strategy and roadmap, aligned with the Chief Data Officer, Develop and implement data governance framework, policies, data governance standards, data protection standards and adoption requirements across the enterprise conform the data governance roadmap, Monitor and control the data governance framework, policy and standards, Ensure compliance with data related policies, standards, roles and responsibilities defined by regulator (GDPR, BCBS239) and at ING group level. Hire Now IT and Information Governance Project Manager. Business Intelligence Data Warehousing Sample Resume. Data Warehouse Developers analyze, organize, store, retrieve, extract and load data as a means of staging, integrating, and accessing information. Process expertise across multiple data domains, Strong written and verbal communication skills with the ability to interact with people at all levels of the organization, Effectively build and maintain strong internal/external relationships and the courage to influence and challenge when necessary, Excellent data modeling (conceptual, logical and physical), mapping and analysis skills, Excellent presentation, verbal & written communication skills, Demonstrated analytical skills, independent thinking and ability to exercise prudent judgment, Strong decision-making skills to resolve conflicts arising over a wide range of quality and governance activities, Strong communication skills (written, verbal, active listening) required, ability to synthesize key messages and storytell, Proven leadership skills to direct large groups at varying levels towards common objectives, Strong written and verbal communication skills; ability to interact with various levels throughout the organization, Good verbal and presentation communication skills, Strong Technical skills (ABAP, Process Integration), Related experience; including supervisory experience, Reports on BUK RFT compliance to the Data Management Council and ensuring Data Quality is effectively managed, Super user experience aligned to data management/data quality technologies. Responsibilities listed on Senior Data Analysts' sample resumes include performing high-level analysis for business requests, and generating summary documents for senior management for monthly and quarterly audit and compliance reporting. … Understanding of data warehouse, ETL, data cleansing, and architecture, Highly experienced in SQL Server Database Development and Administration, Experience with Python, Apache Spark, HDFS, etc, Expertise in the domain of Data and Information best practices in Financial Services, Highly self-motivated, self-directed and attentive to details, The ability to positively engage and influence stakeholders at all levels, Willingness to travel on a periodic basis to the different team locations, Exposure to tools used to support data management specifically business glossary, metadata management, data profiling, and data quality (such as SAP MDG, INFORMATICA, Collibra), Acquaintance of applicable laws, regulations, financial services, and regulatory trends that impact their assigned line of business, Attend, facilitate, and present at workgroup and other agency meetings as necessary to develop and vet DG guidelines, standards, procedures, and policies, Complete a change impact assessment for each new DG initiative, Execute a comprehensive communications plan for the Data Governance Program, Demonstrated ability to lead diverse work groups that deal with complex aspects of healthcare and public health data including work groups that are composed of members with varied professional credentials, education, and experience, Knowledge and experience in managing data lifecycle policies and procedures, including development of data quality thresholds, Level briefings and coordinate and incorporate feedback, Lead the setup of data policies and procedures for data management areas (25%), Advanced knowledge of Governance Best Practices, Mentor colleagues excited to learn about Data Governance. 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