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Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality. Knowledge of industry trends, customer challenges, potential opportunities in various areas like cloud, AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.
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Ensure the high quality and rigor of technical services provided under this agreement, including but not limited to technical aspects of recruitment/staffing, evaluation designs, instrument development, data collection, data security and privacy, data analysis, writing, dissemination, and evidence use.
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Managing complex engagements with relevant data management consulting in master data, data modeling, data architecture, data warehousing, data conversion, data governance, data cleansing, and data quality in Healthcare, Government, and Public sectors, utilizing prototypes, relational databases, Informatica technologies, data modeling tools, and reporting tools.
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Understands all aspects of Citi Data Governance Policy and other key Data Governance Standards and Procedures including but not limited to Data Lineage, Metadata, Data Quality, Data Remediation, and Issue Management to serve as a CDO-aligned thought leader.
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Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Excellent written and/or oral communication skills; firsthand experience in model development, model monitoring, model risk management program governance and oversight, and/or model risk testing.
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Additionally, this role will actively participate in developing an entire Data Operations framework, will lead our Master Data strategy and will establish our data management operating model which will ensure the highest level of data quality across the firm.
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Lead the annual Data Governance workplan and advise CF's Data Governance Board, including the development and assessment of data quality analytics and data improvement plans, supporting Company-wide efforts on records retention, and working with other functions within CF.
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Implement a menu of data informed, high-quality programs and services in adherence with the community school framework, including but limited to expanded learning and enrichment opportunities, integrated students supports (health and basic needs), active family and community engagement (leadership, adult education, workforce development, family programming), direct material assistance and interventions targeted at at-risk and chronically absent students.
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Experience with governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
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Experienced in several of the following domains: biomedical informatics, outcomes and health services research, clinical trials, clinical decision support, population health and claims analytics, quality metrics and reporting, data security, privacy and regulatory compliance, and data governance.
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Client Engagement: Provide expert data governance, quality management, and analytics consultation. Technical Expertise: In-depth understanding of data governance, quality management, architecture, analytics, literacy, emerging technologies, democratization, ethical AI, sustainability, and monetization.
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Lead routine deliverables in support of risk and/or regulatory compliance related initiatives: oversight of procedures/process, accurate regulatory reporting and filing, document governance, risk control self-assessments, procedure governance, control design, new product controls, CoSA Third Party Governance, or quality governance.
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Approximately 4-7 years in designing, developing, and implementing data and analytics strategies and solutions including data governance, data quality management, master data management, data architecture and modelling, data engineering, AI, ML, and other emerging technologies.
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Assist in data strategy and governance, data quality, and data architecture and modeling projects. Experience developing and automating extraction, transform, and load (ETL) processes including using enterprise data integration tools.
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A minimum of five years of ETS or Enterprise Performance Management (EPM) related experience with a professional services advisory firm or publicly traded company; experience leading and delivering full life cycle implementation projects related to ETS and/or EPM with software vendors such as Oracle and experience with Connected Planning, Comprehensive Financial Close, Enterprise Data Management and other Oracle Cloud products.
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