Industry Practice Expert (Banking)

TL;DR

Industry Practice Expert (Banking): Develop and operationalize banking industry use cases and solution blueprints by translating industry processes, KPIs, and customer requirements into structured solution designs with an accent on requirements structuring, data/AI use-case definition, and scalable sales enablement. Focus on turning industry concepts into deliverables through cross-functional collaboration across sales, product, data science, AI, and operating unit teams.

Location: London, England

Company

Dun & Bradstreet provides industry and data-driven solutions for businesses.

What you will do

• Develop and maintain banking industry use cases, solution blueprints, and documentation of data inputs, assumptions, and value drivers.
• Translate industry processes and KPIs into structured solution designs, including combining customer-generated data with third-party data.
• Support advanced analytics, AI, and agentic AI use cases by defining requirements, validating assumptions, and producing clear documentation.
• Act as a banking subject-matter expert in sales and pre-sales: support deal qualification, value articulation, proposals, demos, and executive presentations.
• Deliver sales training and knowledge enablement by teaching industry KPIs, operating processes, and buyer challenges; maintain playbooks and enablement assets.
• Collaborate with product, data science, AI, and operating unit teams to provide structured feedback, support pilots, and collect adoption feedback.

Requirements

• At least 8 years of professional experience as a subject matter expert, consultant, business analyst, or solution support role.
• At least 5 years of experience supporting related industry initiatives or senior industry/domain leaders.
• Proven ability to operationalize industry concepts into deliverables, including use case and solution development.
• Strong understanding of industry processes, KPIs, and performance metrics, applied in customer, sales, and solution contexts.
• Working knowledge of data ecosystems, including customer data, third-party enrichment, analytics, AI, and agentic AI use cases.
• Fluency in English and languages relevant to the working market (where applicable).

Culture & Benefits

• Hybrid workplace in London.
• Execution-focused role within an Industry Practice environment, partnering closely with sales, product, data science, and AI teams.
• Ownership mindset and continuous growth mindset emphasized through ongoing learning and stakeholder collaboration.
• Structured documentation and enablement responsibilities to support scalable customer solutions.

Hiring process

• Application via Dun & Bradstreet careers page.
• Interviews and evaluation of industry expertise, analytical/requirements structuring skills, and cross-functional collaboration experience.