Position Summary
This role will serve as the strategic lead for designing, developing, and maintaining enterprise grade data models that support ESG reporting, analytics, regulatory compliance, and operational decision making. This role requires deep subject matter expertise across ESG frameworks, metrics, and data taxonomies, combined with advanced data modeling skills. The Senior Data Modeler will partner closely with data engineering, ESG program leaders, risk, compliance, and business stakeholders to ensure the organization's ESG data assets are accurate, scalable, and aligned with both internal standards and external disclosure requirements.
Key Responsibilities
Data Strategy Modeling
Design and maintain conceptual, logical, and physical data models to support ESG reporting, dashboards, and analytical products.
Develop and implement data standards, metadata structures, lineage documentation, and governance practices specific to ESG data domains.
Translate ESG program requirements into scalable data architectures that support reporting frameworks such as SASB, GRI, TCFD, ISSB, CSRD, and industry specific regulatory mandates.
Build models that enable ingestion, integration, and normalization of diverse ESG data sources, including structured operational datasets, third party ratings, qualitative assessments, and unstructured content.
ESG Subject Matter Expertise
Partner with ESG leaders to understand evolving disclosure requirements and maintain alignment between data assets and regulatory obligations.
Define and maintain ESG data taxonomies, business rules, KPIs, and calculation logic (e.g., GHG emissions, DEI metrics, governance indicators).
Advise cross functional teams on best practices for capturing, storing, and validating ESG data.
Data Quality Governance
Establish ESG data quality controls, validation rules, and stewardship processes.
Ensure transparency of ESG data lineage, traceability, and auditability for both internal and external reporting.
Collaborate with Data Governance teams to align ESG data policies with enterprise standards.
Cross Functional Collaboration
Work with Data Engineering and Architecture teams to implement models in cloud environments such as IDMC.
Partner with Reporting, Analytics, and Sustainability teams to support dashboards, KPIs, regulatory filings, and investor grade reporting.
Collaborate with Risk and Compliance to support assurance, controls, and audit reviews.
Qualifications Required
Bachelor's degree in Data Management, Computer Science, Information Systems, Sustainability, or related field.
7+ years of experience in data modeling (conceptual logical physical) in enterprise environments.
Proven experience with master data management (MDM), metadata management, and data governance frameworks.
Subject matter expertise in ESG reporting standards (e.g., SASB, GRI, TCFD, ISSB, CSRD).
Strong proficiency with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or SQL-based modeling tools.
Hands-on SQL proficiency and ability to collaborate effectively with engineering teams on implementation.
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