Sustainability Data Lead

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

The Sustainability Office (SO) is part of U.S. Bank’s Impact Finance organization within the Wealth, Corporate and Institutional Bank (WCIB). The SO team is responsible for delivering in three critical areas:
(1) enterprise-wide sustainability strategy (2) sustainable finance innovation and business development; (3) impact measurement and management.

The Sustainability Data Lead will support the Head of Sustainability and the Sustainability Team in the continued development and execution of sustainability data products and sub-domain strategy, with a focus on client financed emissions and net zero transition analytics. The role will support data product development through requirements gathering, program management, data analysis and data science expertise, including carbon accounting across Scopes 1, 2 and 3;

integration and analysis of Scope 3, Category 15 (client) financed emissions; decarbonization pathway analysis across the real economy; and internal dashboarding and reporting aligned with the Partnership for Carbon Accounting Financials (PCAF) methodology, evolving industry standards, regulatory requirements and sustainable finance commercialization strategies, tracking and reporting.

In executing on the sustainability data domain strategy, the Sustainability Data Lead will support and partner with business stakeholders in the Enterprise Data Office, Credit Risk, Reputation & Strategic Risk, various business teams and enabling functions in Impact Finance, client-facing teams in the Institutional Client Group, Commercial and Consumer Bank, Corporate Real Estate, and other enterprise partners, including the ESG Comptroller, Legal, Third-party Risk Management.

The ideal candidate brings advanced data science skills, exposure to climate and emissions measurement, and prior corporate experience preferably within a financial institution. They are comfortable gathering business requirements, writing complex queries; extracting, merging, and transforming large, raw datasets; and benchmarking results against established industry standards while resolving discrepancies across data sources. The candidate should be confident in quantitative analysis and be able to clearly communicate insights to internal stakeholders, including senior management through concise and impactful presentations.

Experience with program management, execution, progress tracking, and internal and external stakeholder engagement is required. Familiarity with greenhouse gas accounting frameworks and financed emissions methodologies across sectors and asset classes is preferred.

• Data Domain Development and Analytics: Lead further development of nascent enterprise-wide climate & impact data products, including (a) development of internal client/portfolio data flows and dashboards to facilitate analysis and external reporting against PCAF standards/regulatory requirements and net zero transition preparedness analytics; (b) support data strategies and lead execution of data products focused on Scope 1 and 2 emissions measurement and management;
  
  (c) exploration of new data products to support commercialization of sustainable finance strategy and other Impact Finance products and strategies; (d) facilitate and translate emerging business needs into scalable analytics through business requirements gathering
• Reporting: Lead annual financed emissions analysis and deliver audit-ready net‑zero and PCAF reporting for internal, external and regulatory use.

• Bachelor's degree in a quantitative field such as statistics, computer science, engineering or…