Project Manager (Data Modeling)

Responsibilities

• 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.

Required Technical Skills

• 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.