SUMMARY

• Coordinated across teams to complete development, testing and deployment of Provider hub into production.
• Led proof of concept effort to help identify a suitable MDM application for next-gen data-mastering and customer 360 view for the enterprise.
• Conducted GAP analysis for upgrade from current IBM Initiate 9.2 platform to IBM Infosphere 11.1 AE Hybrid.
• Designed 3-year strategy and roadmap for MDM implementation and presented to EDG executive decision group for budget, resourcing and planning approval.
• Developed integration architecture for Initiate MDS with CRM SFDC cloud at partner clubs both for real-time service calls and ETL batch jobs.
• Worked with data-stewards to set guidelines and benchmarks for resolving linkage and duplicate tasks in Initiate hub as well as develop an enterprise error framework.
• Helped business partners to develop process data standards for newly set up data governance organization.
• Designed Party Domain data model for InfoSphere v11 MDM to socialize with IBM CSAA data model teams.
• Developed additional future domains for Claimants, Agents and Prospects data from across the organization and merge with the organization's overall Big Data strategy.
• Designed process and architecture to integrate future MDM with 3rd party systems like Merkle and LexisNexis and perform data-enrichment in the hub.

Work Summary

Confidential

Enterprise Data Architect

• As an Enterprise Data Architect responsible for management, planning, design and implementation of enterprise Data Architecture domain to ensure alignment of Enterprise Architecture with business strategy - tools, guidelines, principles, policies and governance.
• Prepared a 3 year roadmap and a solution design to implement Informatica MDM for Provider Member Domain, which includes all lines of business Medical, Dental, and Prescription . Also prepared a 3 year roadmap of Data Architecture capabilities for the Data Strategy and Management.
• Guided MDM Implementation team for building multi-domain MDM Base Model for Party Reference data with Provider and Member using the EDM as the base. Defining source trust rule analyzing the Data profiling reports on the source data.
• Led a team of data architects data modelers to develop a set of templates, methods, procedures and guidelines for all aspects of Data Management, including Data Modeling, Data analysis, and Data architecture.
• Guided the data model team members for coming up with Party Model EDM Enterprise Data Model based on analysis of logical Business critical and Governed Data elements LOV CROSSWALK and CDM Canonical Data Model based on affinity analysis. Guided the DBA team to physicalize the EDM into multiple Data layers to support ETL batches like CDT Common Data types , CRF Common record Format , IDS Integrated Data Store , DAL Data Access Layer and HDAP Horizon data Analytics/BI Platform .
• Worked with CIO CTO level leadership to drive collaboration with Business Stakeholders to help them streamline and improve the efficiency and effectiveness of the UAT for the MDM program.
• Worked as a data solution architect for a Member domain program dealing with capabilities Membership Enrollment Exchange , Account Implementation, Billing, Sales and Service. Designed matrix for logical services to be supported by the SOA based ESB/BPM platform for health care reform program. Built the Current, Future and Interim state architectural landscape.
• Providing thought leadership for defining the Provider and Member data models, managing of the pilot for Master Data management MDM of Member and Provider data domains. Led the effort around the RFP process for selection of high performance analytical appliance platform for the new EDW roadmap.

Confidential

Sr. Consultant/Sr. Data Architect

• Design Data architecture for CCAR Comprehensive Capital Analysis and Review Data Mart
• Develop Architecture for Enterprise GL Reconciliation processes
• Lead and guide Data architects and stakeholders through the data architecture development and data modeling
• Lead Design and Data Architecture to define artifacts for various enterprise initiatives
• Design, develop and document Data Flow Diagrams for various enterprise applications.
• Design Road map for Data Architecture with Enterprise Architecture Group using TOGAF
• Identify client requirements and maintained the Process and Data Flow diagrams
• Implement governance processes around metadata to ensure system-wide accuracy and consistency
• Deliver Data Architecture and Data Warehousing enterprise standard updates
• Partner with Business, Solution Architect to gather business, data and reporting requirements
• Provide subject matter expertise in the areas of Enterprise Data architecture, Data Conversion strategy

Confidential

Sr. Data Modeler/Data Architect

• Designed Customer Master Data Management System for the bank 20 Million customers base
• Lead Data Conversion strategy and data transformation efforts for enterprise applications' developments
• Provide Conceptual, Logical and Physical data Architecture artifacts for various enterprise initiatives
• Provide consultation and road on multiple projects concurrently maps for data for strategic enterprise vision
• Design, Develop and championing enterprise data views for ODS development and applicable data access.
• Work with Solutions Design team to ensure adherence to Canonical and Messaging Model standards
• Provide leadership, mentor and coach junior and intermediate technical members on the team.
• Conduct review sessions with Senior Business and Technology Governance Council
• Participate in business requirement gathering sessions, business requirements analysis and evaluation.

Confidential

Sr. Data Architect

• Manage and maintain the data model library and data inventory for various divisions
• Lead data modeling sessions and resources within group for enterprise initiatives
• Communicate complex architectural strategies and directions to both Technology and Business stakeholders
• Conduct and participate in Model reviews with Senior Management Technology and Business
• Provided Conceptual, Logical and Physical data Architecture artifacts for enterprise applications
• Established Data Conversion strategy and Data Conversion framework
• Provided enhancement to the data management and data quality strategies
• Develop data archiving strategy and implementation procedures compliant to overall enterprise architecture.
• Provide Project time and resource estimates, resource planning and assignments