Design conceptual, logical, and physical data models for relational and nonrelational databases.
Collaborate with stakeholders to translate business needs into technical specifications.
Analyze existing systems and improve performance, scalability, and data retrieval.
Define and maintain data definition schemas and mapping documents.
Implement data standards, security, and quality policies.
Plan and define priorities of new requirement enhancements, create schedules and timelines for deliverables, monitor status, update trackers, and inform stakeholders.
Manage production of planned deliverables, manage risks and issues, and inform stakeholders.
Work with quality and compliance processes such as MAP, SMR, PWPA, audits, risks, issues, etc.
Handle opportunity profit and RR creation, iManage system resource allocation, contract creation, and management.
Assist with billing and invoicing processes, analyze and report UBRs, track mandatory trainings, and track SOW creation, budget, and PO consumption.

Proficiency in modeling tools such as ERStudio, Erwin, or IBM InfoSphere Data Architect.
Strong understanding of relational (SQL) and nonrelational (NoSQL, Graph) databases.
Knowledge of data warehousing concepts, ETL processes, normalization, and denormalization.
Experience with data governance, security, and quality policies.
Experience creating and maintaining data definitions and schema documentation.
Experience managing risk and issue tracking, and quality compliance.
Experience with iManage system for resource allocation and contract management.
Familiarity with billing, invoicing, UBR analysis, and training tracking.
Good knowledge of opportunity profit and revenue recognition (RR) calculations.
Understanding of project planning, scheduling, and deliverable tracking.

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LTM