Please share resume to [email protected] Master Data Management Specialist- Boston MA Longterm duration
· Extensive experience working with different types of data, and particularly Master and Reference data, data analysis, data modeling, data integration (ETL), data profiling and database design in the MDM/ RDM space. S/he should have knowledge of leading trends and best practices in MDM and RDM. · Has hands-on experience in MDM/RDM design, development, support and operations using some leading MDM/RDM suite of tools like Informatica, IBM, Talend and Orchestra Networks. · Demonstrated experience communicating technical information to project teams, stakeholders and governing councils. · Works with Conceptual, Logical, Physical and Dimensional Data Modeling · Analyze business’s master and reference data needs. · Design, develop, implement and maintain MDM/RDM solutions across all business areas and data domains, using MDM/RDM suite of tools. · Provide technical leadership for MDM and RDM systems. · Investigate system issues and recommend alternatives for resolution. Also, recommend options to improve system effectiveness and efficiency. · Draft and communicate MDM/RDM data strategies and vision. · Identify data owners and stewards of various MDM/RDM domains,and articulate what ‘ownership’ means. · Understand and identify system dependencies. · Understand functionality, integration points and impacts of proposed changes to existing applications. Follow through with options and recommendations. · Consult with others to validate complex design decisions, effectiveness of systems flow, data usage, and manual or automated processes. · Assist with data mappings, data modeling, data profiling, query design, data flow design, data strategy and data governance etc. · Monitor how data is used in various business processes to identify gaps, discrepancies and the opportunities to further improve quality of master and reference data. · Identify and reconcile inconsistencies in data definitions, e.g., synonyms and homonyms. · Identify, maintain and keep current, the list of valid values (LoV’s). · Engage in master and reference data quality improvement through analysis and remediation of data quality issues. · Assist in the build out of conceptual, logical and physical data models, and to document business concepts, data entities, data elements and relationships. · Engage with business and IT to define and capture data definitions, business rules and data quality rules. · Assist in the creation of data dictionaries and business glossaries to document data lineages, data definitions and metadata for all business-critical master and reference data domains. · Implement data quality management processes. · Identify data quality metrics and design processes that track and measure data quality continually. *Deliverables:* · Weekly Status reports · Data Model Diagrams (Visio / Erwin) · Data Architecture / Data Flow Diagrams (Visio) · Data Dictionaries (Excel) · Data Issues & Resolutions (Excel) · Resource estimates in Excel format -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
