ESG Data Modeler - Assistant Vice President

Deutsche Bank; Weston (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Generous vacation days

Employee resource groups

Health benefits

Retirement savings plan

Parental leave

Educational resources

Job summary

Deutsche Bank in Cary, NC seeks an ESG Data Modeler to design enterprise data models for sustainability initiatives supporting Investment Bank strategies.

You will work with data producers and consumers to ensure consistent models, adhere to data architecture standards, and collaborate across IT and business groups in a cloud-enabled environment.

Qualifications

• Experience designing enterprise data architectures and data pipelines.
• Proficiency with UML and data modeling tools such as Erwin and PowerDesigner.
• Ability to establish data governance frameworks and manage stakeholders up to MD level.

Responsibilities

• Align data models with sustainability initiatives and regulatory needs.
• Define, design, and maintain logical and physical data models.
• Collaborate with data architects to identify sources by data class.
• Work with development teams to ensure compliance with blueprints.

Skills

Data modeling

UML

Erwin

PowerDesigner

SQL

Big Data

Cloud

ESG concepts

AI tools

Stakeholder mgmt

Education

Bachelor's degree in a relevant field

Experience in data governance

Tools

Erwin

PowerDesigner

SQL tooling

Job description

Job Description

Job Title ESG Data Modeler

Corporate Title Assistant Vice President

Location Cary, NC

Who we are

In short - an essential part of Deutsche Bank's technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands‑on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here .

Overview

As ESG Data Modeler within Regulatory & Cross Product (RCP) Reference Data Modelling team, you'll work on the design and development enterprise logical data models and physical data models with Sustainability that will support the various sustainability (Investment Bank) business strategies for the Bank. We need to have consistent views of our business activity across business as well as consumers of our data such as Risk, Finance and Treasury. You'll 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'll work on the creation and rollout of models in a dynamic heterogeneous environment that encompasses processing platforms and cloud‑based data solutions.

What We Offer You

• A diverse and inclusive environment that embraces change, innovation, and collaboration
• 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, and family building benefits
• Educational resources, matching gift and volunteer programs

What You'll Do

• 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

Skills You'll Need

• 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

Skills That Will Help You Excel

• 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 dependencie
• 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

Expectations

It is the Bank's expectation that employees hired into this role will work in the Cary office in accordance with the Bank's hybrid working model.

Deutsche Bank provides re