Information Modeler – Finance Data Services

Information Modeler Finance Data Services

Accountable for designing evolving and governing information and data models across the finance data landscape. The role ensures that all initiatives align with the enterprise canonical data model data standards and longterm architectural direction with a strong focus on data warehouse and transactional modeling.

• Design maintain and evolve logical and physical data models for data domains including data warehouse and transactional environments.
• Ensure alignment with the enterprise canonical data model across all initiatives and changes.
• Assess the impact of new data sources projects and domain requirements on existing models.
• Translate business concepts into clear consistent and reusable data structures.

• Partner closely with Enterprise Architecture to ensure compliance with targetstate architecture and modeling standards.
• Apply and promote data modeling standards naming conventions and design principles.
• Review and challenge designs that introduce unnecessary complexity duplication or longterm risk.

• Collaborate with Data Governance to support ownership quality and policy requirements.
• Coordinate with Data Security to ensure confidentiality classification and access principles are incorporated into data models.
• Engage with domain and delivery teams to understand business needs and help shape robust information structures.
• Act as a primary point of contact for information modelrelated topics across business and IT.

• Analyze and clearly articulate the impact of proposed changes on the canonical data model.
• Recommend appropriate model reuse extension or evolution approaches.
• Identify and communicate risks dependencies and longterm implications of modeling decisions.

• At least 5 years of experience in data warehouse/lake and transactional data modeling within complex enterprise environments.
• Strong understanding of enterprise data architecture and canonical data models.
• Demonstrated ability to work across architecture governance security and delivery stakeholders.
• Comfortable operating in changeintensive environments with multiple parallel initiatives.
• Able to communicate data modeling concepts clearly to both technical and business audiences.

• Operates as a shared enterprise capability supporting multiple initiatives.
• Prioritizes longterm coherence and sustainability over shortterm project optimization.
• Proactively raises risks supports escalation where needed and contributes to pragmatic valueoriented solutions.