ESG Data Modeler - Assistant Vice President

Deutsche Bank•Cary, NC

5d•Hybrid

About The Position

As ESG Data Modeler within the Regulatory & Cross Product (RCP) Reference Data Modelling team, you will work on the design and development of enterprise logical data models and physical data models with Sustainability that will support the various sustainability (Investment Bank) business strategies for the Bank. You will ensure consistent views of business activity across the business as well as consumers of data such as Risk, Finance, and Treasury. You will ensure high-quality enterprise models are built as agreed by data producers and consumers and adhere to group data architecture standards and industry standards. You will work on the creation and rollout of models in a dynamic heterogeneous environment that encompasses processing platforms and cloud-based data solutions.

Requirements

Experience designing enterprise data architectures, data pipelines, protocol formats, and XML/JSON-based messaging structures
Proven experience creating and maintaining logical and physical data models using UML, with strong hands-on expertise in data modeling tools such as Erwin and PowerDesigner.
Proven ability to establish data governance frameworks, define data ownership and maintenance processes, and manage stakeholders up to Managing Director level
Strong database design, reporting, data analysis, and SQL skills, with the ability to translate business requirements into scalable data solutions
Understanding of Big Data and Cloud technologies, with preferred knowledge of ESG and Sustainability concepts such as GHG, Sustainable Finance, Transition Finance, and CSRD
Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

Nice To Haves

Ability to build strong relationships and influence stakeholders from technical teams through to Managing Director level
Strong verbal and written communication skills, with the ability to translate complex data concepts into business-friendly language
Works effectively across diverse teams, balancing competing priorities and managing shared data dependencies
Ability to connect data modelling decisions to broader business, regulatory, and sustainability objectives
Analytical mindset with the ability to identify data challenges, assess impacts, and develop practical, scalable solutions

Responsibilities

Working closely with Sustainability, Business Change Management and other IT groups to ensure data models are aligned to current and future plans and activities, including coordination and technical assistance to facilitate specific development projects
Defining, designing, building and maintaining data models for their function. Given that data does not adhere to strict organizational boundaries, you will need to identify and collaborate with data architects who have shared dependencies
Articulating the 'language' for their function in a data model. Depending on your role, this will include conceptual, canonical, logical or physical data models
Providing SME input into Data flow architecture activities and partnering with the Technology/System architects to define appropriate data sources by data class (and in accordance with CDO policies)
Working closely with Development teams, Change Management and Enterprise Architecture to develop and assure constant compliance with strategic blueprints

Benefits

A hybrid working model, allowing for in-office / work from home flexibility
Generous vacation, personal and volunteer days
Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
Competitive compensation packages including health and wellbeing benefits
Retirement savings plans
Parental leave
Family building benefits
Educational resources
Matching gift and volunteer programs
Access to physical, emotional, and financial wellness benefits