Job Description :
Role Accountability (Responsibilities)
Lead and facilitate MDM requirement analysis sessions with business users to identify data sources, users, products, processes, limitations and workarounds
Identify critical information delivery gaps through a combination of interviews, workshops, and analysis of existing reporting environment
Work closely with SMEs, Program Manager, Project Sponsors, Product Owners, Data Stewarts, IT Infrastructure Teams, Solution Architects and Enterprise Architecture to design solutions
Analyzes impact of future topology changes in the client environment, both internal and external to determine futuristic solution architecture
Provide subject matter expertise on data architecture and data integration implementations, MDM Configuration and Platform Architecture, Data Syndication Policies and Procedures
Lead and manage traceability of conceptual Data Model to MDM Solution with Upstream Solutions contributing to creation or enrichment of MDM Profile
Present technical best practices based on hands on experience and knowledge of developing and implementing MDM Solutions
Create Conceptual Data Model of each MDM Domain based on Inbound, and Outbound data flow as per MDM Best Practice Architecture.
Create MDM solution roadmap planning, recommending technologies and solutions
Define overall MDM solution architecture, system component architecture, detailed designs, design components, compliance to defined architecture
Architect and design MDM solution based on Business, Technical, Functional and Non Functional needs using reuse, build or buy solution options
Create and facilitate analysis of solution option and drive decision-making with core team of key stakeholders
Create high quality written communications like Technical, Non Functional and Functional business documentation including design documents, system diagrams, workflow diagrams and presentations
Define scope, priority, activities, tasks, dependencies, detailed effort estimates, resource needs and risks
Provide technical leadership for the development of logical and physical database schemas, stored procedures, interfaces (in Java or XML), and extensions to customer proprietary solutions
Collaborate with source systems data stewards and technical personnel for data governance and to resolve any data quality or technical issues related to data ingestion.
Advise and provide support to data stewards, other system owners and technical personnel in master data management concepts and technical matters.
Enforce systems engineering principals such as TOGAF, Zachman, Taxonomy, Federal Enterprise architecture, or Gartner Methodology.
Be able to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment with strong teamwork and interpersonal skills

Demonstrate experience with Healthcare data management, nomenclature and healthcare related terminologies including Master Patient, Provider, and Staff index.
Demonstrate experience leading and facilitating formal meeting and discussions with senior managers, executives, business users, Infrastructure, Compliance and other teams
Demonstrate experience and thorough understanding of deterministic and probabilistic matching methodologies, survivorship criteria and master data hierarchy management
Demonstrate experience in creating Data Modeling, Business Process Modeling, Matching Rules, Hierarchy and Relationship Management, Data Mapping, MDM Data Models, Data Governance,
Demonstrate experience in analyzing and definition of requirements for data matching and merging rules, survivorship criteria and data stewardship workflows including maintenance and tuning of match rules
Demonstrate experience in implementing MDM architecture and hands on ability to configure multiple Managed servers, HUB, Process servers and services integration framework
Demonstrate experience in creating Technical, Non Functional and Functional business documentation including design documents, system diagrams, workflow diagrams and presentations
Demonstrate experience using data quality tools, including data profiling, cleansing and identity resolution
Demonstrate experience designing and deploying in a Services Oriented Architecture or Events Driven Architecture
Demonstrate experience with backup, recovery and restore of Master Data Management systems
Demonstrate experience with design high availability and Disaster recovery environment build up for MDM systems
Demonstrate experience with information access and delivery methods, analytics applications and tool portfolio, data sourcing and integration methods such as OLAP, ROLAP, and HOLAP and an understanding of data mining and data cleansing of master data management
Demonstrate experience with ability to apply data quality techniques such as match, merge, profiling, score carding, data standardization, and parsing using enterprise data quality platforms
Demonstrate experience with understanding of information system security fundamentals and principals, including security protocols, encryption and access management to ensure adherence to regulatory/compliance requirements
Demonstrate experience with understanding of IT infrastructure components including desktop/server-class hardware, software, network and telephony
Demonstrate Experience with data strategy, governance, stewardship, data management, and data quality programs
Demonstrate Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions
Demonstrate effective problem solving skills and ability to deliver on multiple projects simultaneously and Ability to articulate ideas to both technical and non-technical addressees with ability to communicate and persuade at all management levels

Minimum 3-5 year experience with hands-on implementation of Master Data Management (MDM) solutions
Minimum 3-5 year experience with large and complex data management projects in the role of BI or Data Architect
Minimum 7-10 year experience delivering IT Services and/or Consulting projects within a consulting organization