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Data governance analyst

Programmer Resources Intl Inc.

This is a Full-time position in Not Specified, MO posted July 13, 2021.

Advanced professional experience in large scale technology companies Advanced experience in Master Data Management (MDM/EDM), Data Governance, Data Management, Data Strategy and process flows Advanced development experience with Java/Python and scripting Intermediate-Advanced experience in automated Data Governance strategy design, and designing data domain and sensitive data identification capabilities Intermediate-Advanced experience in communicating across technical and business governance teams Self starter and capable of working individually and within teams to solve complex problems and driving adoption of solutions.

Intermediate-Advanced experience in defining and developing features to leverage metadata discovery as part of AI/ Machine Learning features for business use Intermediate-Advanced experience in developing natural language processing (NLP) for data mining Experience leading cross-functional teams to plan, build and launch governance capabilities
Data Governance Engineering Responsibilities
Lead the development and implementation of Data Governance development/expansions from Informatica EDC and Axon Responsible for designing and implementing automated enterprise data governance processes including custom development of PII/PCI tagging, integration of data quality measures into Informatica EDC and Axon, and development of data lineage ingest pipelines into EDC.

Able to troubleshoot scale and performance issues related to metadata gathering and storage Fluent in structure of facets, systems, datasets, and attributes within Informatica Axon and able to drive redesigns for better business experience Ensure documentation of standardized data governance “tools” including data requirements documents, data lineage workflows, metadata forms, data models, etc.

are created and used across the organization by all relevant stakeholders.

Support the AI/ML Services team on project governance activities (project plans, weekly status reviews, cross-functional meetings, executive status reviews).

Prioritize and manage multiple projects within specifications and budget restrictions Monitored operations of programs to ensure policies and procedures are being followed, goals and objectives are met Help stakeholders productionize results of AI products.

Develop sound business communication by building relationships with other stakeholders through information-sharing Keep abreast of new product knowledge through appraisals of new product ideas and features Drive analytical projects from conception to completion and communicate blockers and risks early.

Update product status and check in deck for assigned products.

Own the product lifecycle from initial concept to delivery.

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