Looking for a candidate with senior level experience with IBM Information Server, as well as the
qualifications of a seasoned Data Governance/Data Quality Analyst
Basic Functions:
Produces complete, clear documentation
Delivers on time
Self-starter, technical leader with superb collaboration skills
Listens to, values and incorporates where appropriate, recommendations from others
Guidance and support for technical development managers and their teams
Experienced with developing state of the art solutions, hands-on research, evaluation, and due diligence of technical solutions
Communicates clearly to all stakeholders, ranging from high-level business to detailed technical
Works with internal and external technology providers to ensure maximum leverage of their solutions
Researches new technologies while keeping up-to-date with technological developments in relevant areas
Principal Functions:
Enterprise Information Architecture
Evolve Master Data Management; reduce multiple data sources to authoritative, accurate and reliable system of record across the enterprise Definition of enterprise data structures
Source & target subject matter expert
Delivery owner of conceptual and logical data model
Implementation of Data Governance improvement process
Expert in data analysts; heavy emphasis on analysis of data linkage and data profiling
Centralized data models away from specific systems and application
Establish and maintain enterprise metadata repository
Develop skills and competence with IBM Infosphere tooling and best practice processes
Implement data quality remediation actions & monitor data quality improvements
Engage in Data Warehouse strategy and key business initiatives:
Enable analytics resources to turn data into information intelligence
Clinical decision support
Actionable diagnostic information to Providers
Evidence based guidelines to enable personalized patient care
Ensure appropriate level of effort is reflected in each project work plan (i.e., tasks, deliverables, dependencies and resources)
Collaborate with data analyst, business data stewards, enterprise architects, software architects, IT support, and development teams to:
Develop the data architecture strategy
Describe requirements and scope
Develop master data, data warehouse and business intelligence strategies
Create and sustain data quality initiatives
Required Skills and Experience:
Detailed technical knowledge and experience with data modeling, data management and data governance Seven plus (7)+ years IT experience in data management, data design and data analytics related to application development, systems integration, data conversion and support
An understanding of data service definition and orchestration
Development Technologies: Model driven design, using E/R modeling tools like ERwin or E/R Studio; familiarity with best practices for data modeling
Database Systems: Oracle, DB2, MS SQL server
Database Technology: thorough understanding of relational data modeling for OLTP, OLAP, Data Warehouse
Database Performance: thorough understanding of transaction volume, scalability, response time
Data Management: Master data management, data cleansing, data replication, archive and restore,
Formal Languages: SQL, PL/SQL, Java
Operating Systems: AIX, Unix, Windows XP
Application Development: Design and development of distributed, enterprise wide applications
Time Management: Experience working on multiple projects simultaneously, ability to set priorities and focus
Excellent analytical & communications skills
Demonstrated ability to work in a heterogeneous environment, related to both software platform and organizational distribution
Familiarity and experience with multiple development methodologies
Ability to work independently, to communicate well and to coordinate with numerous teams and people to accomplish goals
Possess collaboration, coordination and communication skills that demonstrate the ability to present designs and interpret business questions pertaining to design decisions
Communication- fluent in English, spoken and written; clear communicator at various levels of abstraction Leadership-Proven ability to drive data architecture solutions as a lead role for large, highly visible Data Services and Data Management programs
Travel- willing to travel 15% of the time
Job details are sourced from the employer's original posting.
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