
Data Modeler
2 days ago
Job Summary:
We are seeking a highly skilled and experienced Sr BA/ PM Hybrid to lead the implementation, adoption, and operationalization of the Erwin Data Modelling platform across our enterprise. The ideal candidate will play a pivotal role in understanding business and technical requirements, designing and rolling out the operating model, conducting training, and ensuring smooth onboarding of users onto the platform.
This role requires hands-on experience across technology implementation, strong stakeholder communication, and Data Modelling.
Key Responsibilities:
Implementation & Enablement:
Lead end-to-end Erwin implementation, including tool configuration, integration, and pilot deployments.
Collaborate with business and IT stakeholders to gather requirements and translate them into actionable Erwin model structures.
Design and establish an Erwin Operating Model, covering governance, roles & responsibilities, workflows, and usage policies.
Training & Adoption:
Develop and deliver customized training sessions for diverse user groups (business analysts, data architects etc.).
Create user documentation, playbooks, and quick reference guides.
Serve as the primary point of contact for tool-related questions, support, and best practices.
Stakeholder Management:
Work closely with Erwin Data Modelling Product Manager, IT service Owner, data governance, architecture, and delivery teams to align modeling practices with enterprise standards.
Facilitate workshops and feedback loops to ensure stakeholder buy-in and continuous improvement.
Tool Maintenance & Optimization:
Monitor usage, troubleshoot issues, and ensure model consistency and quality across users.
Recommend enhancements to optimize Erwin tool configurations for performance and usability.
Required Qualifications:
12+ years of experience within technology application implementation
Proven experience in end-to-end implementation and operationalizing technology products across large organizations.
Experience building operating models, onboarding processes, and conducting training.
Excellent communication and presentation skills to interface with both technical and non-technical audiences.
Familiarity with metadata management, data governance frameworks, and enterprise architecture principles.
Preferred Qualifications:
Strong understanding of data modelling concepts (ER, dimensional, canonical models).
Prior experience migrating models from other tools (e.g., Visual Paradigm, Power Designer) to Erwin.
Knowledge of integration with other data management tools (e.g., data dictionaries, data quality tools).
Soft Skills:
Proactive and self-driven with a consultative mindset.
Strong facilitation and stakeholder engagement abilities.
Passion for data, tooling, and enabling enterprise-wide adoption.
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