Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
*You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future *
Implements data policies standards procedures and guidelines concerning data collection access and management
Review and Sets technical direction for the overall MDM solution
Working with the Enterprise data stewards defines component architecture reviews detailed designs for accuracy and overall compliance to defined architecture across the complete data lifecycle
Works with business process experts to help identify functional requirements
Supports Data Mapping Phases with proper technical analysis
Supports the identification of objects and data elements to be managed describes hierarchies taxonomies or other relationships important to organizing or classifying objects
Analyzes impact of future topology changes in the environment
Defines prototypes and directs Analytics and Data Quality teams to define dashboards for supporting data governance
Define data governance strategies alongside the Data Management Leader and develops roadmaps for MDM programs Implement batch data integrations develop data mappings and data load routines and other artifacts necessary to implement ETL type integrations
Required Experience
10 or more years of IT and business industry work experience with at least 5 years of technical and data leadership and architecture experience
Experience in the role of an MDM Architect and leading large Master Data Management program for a full System Development Lifecycle
Proven experience in developing conceptual logical and physical data model for customer and product domains
Solid understanding of master data concepts processes and tools including data modeling data profiling data quality assessment data integration and data governance
Ability and proven experience in translating business needs of regional and global applications and business processes into data requirements
Knowledge of Enterprise level multi-domain Master Data Management platform such as Informatica MDM Boomi MDM etc
Experience in Cloud applications such as Salesforce Netsuite etc
Experience in using SQL other data extraction reporting and analytic tools to develop test monitor and troubleshoot systems related issues in Oracle or similar database
Expertise in performing source target data analysis data quality assessment data validation and data reconciliation
Knowledge on models of MDM implementation Experience with global teams required
Preferred Experience
Strategic thinking and planning Ability to sell and execute the overall MDM vision and strategy
Team and collaboration orientation Problem solving and performance driven Strong written and oral communication skills