Dun & Bradstreet

Associate

• Deliver reports to Program Manager in required format and frequency.
• Ensure successful transition and achievement of entity resolution SLAs, including ≥85% data accuracy.
• Works with EVS Tier 2 Help Desk Technical Lead to design processes to reduce help desk ticket volume for realized cost savings.
• Works cross-functionally with D&B Program Manager, AI technologists, Data Scientists, Operations, and Technical Lead to provide insight on any other areas for improvement or efficiencies in entity resolution as defined by the leads for realized cost savings.
• Work with Data Product Managers and Data Science leaders to provide summary of entity resolution improvements from client’s entity validation solution that can be utilized within D&B's entity resolution processes to improve the entity resolution of SAM.gov data that D&B ingests (Awards, Exclusions, UEI Registered & Unregistered).
• Provides entity resolution specific progress update to Data Science, Technology, and Program Management leads for realized efficiency for entity validation across other federal agencies.
• Ensure compliance with client policies, contractual obligations, and regulatory requirements.

Entity Resolution Associate

Account Manager

• Fulfill the role of trusted advisor on Dun & Bradstreet solutions through the development of strong, positive relationships with clients
• Build senior level executive relationships with partners to achieve revenue growth and partner satisfaction objectives within targeted partner portfolio and prospects
• Maintain and grow the revenue stream for partner retention, upsell and cross-sell opportunities
• Create compelling use cases for potential partners. These are longer sales cycles requiring extensive pre-sales efforts to establish credibility, map out solution architecture, validate value proposition, and test
• Prospect, qualify, negotiate, close and initiate the implementation of new partnerships and ensuring they monetize
• Meet annual revenue goals through new partner acquisition and growing existing partnerships
• Act as the quarterback on new opportunities and are responsible for bringing in appropriate resources into the opportunity
• Establish and maintain expertise in prospective partner use cases; participate in industry focus groups, conferences, or any other meetings for industries in which he/she is prospecting
• This role is intended for a professional who has wide-ranging experience

Alliances & Partnerships Manager III

Data Analyst

• Support and contribute to Generative AI initiatives across the organization.
• Develop and deploy GenAI applications using LLMs and AI frameworks.
• Leverage models such as GPT, Gemini, and LLaMA for AI-powered solutions.
• Build and manage multi-agent AI systems.
• Develop solutions using LangChain, LangGraph, FastAPI, Streamlit, Chainlit, and Transformers.
• Integrate AI capabilities into enterprise applications through APIs and cloud-native architectures.
• Design and implement RAG pipelines using vector databases such as FAISS, Qdrant, Weaviate, and ChromaDB.
• Collaborate with stakeholders to understand requirements and deliver AI-driven business solutions.
• Provide analysis, insights, and recommendations to support business needs.
• Stay current with emerging Generative AI technologies, tools, and best practices.

Senior Data Scientist

Data Engineer

• Responsible for the end to end operational management of cloud data platform, adhering to required data management and governance practices
• Create & manage data ingestion & extraction, including web data collection via python, API integrations, batch file deliveries among others.
• Lead the business decision-making by retrieving aggregating datasets from multiple sources into actionable format and tools
• Manage the provision of data sets and tools for business data analysis and analytics
• Develop a variety of database query and visualization tools to identify and understand platform issues or events
• Provide technical expertise in extraction, integration, and analysis of critical data
• Own test case scenarios, prepare test data and perform Data Ops User Acceptance testing as platform functionality evolves.

General

• Handle the lead management process in DACH, ensuring that incoming leads from different channels are qualified, valued, and assigned to optimize the lead and sales process and maximize opportunities.
• Coordinate leads and act as the point of contact and recipient of leads coming from the markets, ensuring they are assigned correctly within the sales organisation.
• Support Sales Managers in lead management. Collaborate with sales leaders to identify and maximize opportunities by providing qualified leads and relevant support.
• Produce lead summaries and activity follow-ups for the Sales Commercial Director and regional sales management.
• Support and update the to-do lists along each product launch in DACH (flag critical issues and initiate/track suitable follow-ups).
• Follow up with all participants in the OTI workstream.
• Check in with local Back Office stakeholders to align the OTI workstream.
• Create order forms.
• Collaborate with the Regional Commercial Operations team to align CRM standards and harmonize CRM flows.
• Support Sales with daily support needs.

Commercial Operation Specialist

• Monitor and communicate the status of existing data supply chain processes and data feeds
• Develop tools and reporting that increases transparency into key processes and throughput
• Work closely with related groups to ensure business continuity
• Perform analysis on large datasets to review fill rates, data quality and data consistency
• Work as a member of one or more agile teams, using lean principles and SCRUM methodology

Analyst II, Data Operations

Data Scientist

• The Senior Principal Data Scientist - AI Lead will be the point of contact for Public Sector / Government stakeholders and will be responsible for end-to-end AI solution delivery.
• This role will partner with U.S. government agencies on programs that depend on trusted entity data, validation, and risk insight.

Senior Principal Data Scientist – AI Lead

Solutions Engineer

• Act as a deep subject matter and buyer expert for assigned solutions, industries, or use cases, building strong understanding of customer needs, buying motivations, pain points, and decision criteria.
• Develop and continuously refine positioning frameworks, value propositions, and core narratives that articulate differentiated value in a clear, credible, and customer centric way.
• Lead market, customer, and persona research (qualitative and quantitative), synthesizing insights into clear implications for messaging, content, and programs.
• Serve as a strategic thought partner to Product, Portfolio Marketing, GTM, Product Excellence and Demand Generation-constructively challenging inputs, assumptions, and priorities to improve outcomes.
• Translate complex product capabilities into clear, compelling, and audience relevant narratives, working in close alignment with Creative & Brand as well as External Communications teams to ensure consistency of voice, positioning, and storytelling across the buyer journey.
• Partner with Sales Enablement to help customer facing teams understand buyer context, value articulation, and objection handling, without owning pricing or packaging.
• Support launches and major initiatives by shaping the story and messaging, while execution and orchestration remain with GTM and demand teams.
• Actively identify gaps, inconsistencies, or missed opportunities in how solutions are communicated and proactively propose improvements.
• Measure and evaluate the effectiveness of messaging and content, using insights to iterate and raise the overall quality bar.
• Present messaging, insights, and recommendations confidently to stakeholders at multiple levels.
• Perform writing, editing, and special project work as needed.

Senior Product Marketing Manager, Sales and Marketing Solutions

Communications

• Develop and execute external communications strategies aligned to organizational objectives and market priorities.
• Lead media relations strategy and execution, including proactive pitching, reactive response, and cultivating relationships across AI, technology, business, financial, and industry media.
• Guide the development of press releases, media pitches, Q&A documents, social media content, and executive talking points, ensuring quality and messaging consistency.
• Translate complex data and proprietary business insights into clear, compelling narratives for external audiences, including media, analysts, clients, prospects, and partners.
• Collaborate with cross-functional subject matter experts to validate data-driven findings and ensure methodological rigor in external communications.
• Manage public relations agency relationships, directing strategy, priorities, and execution to maximize media impact and program effectiveness.
• Define success metrics and track performance of external communications programs, leveraging media analytics and reporting to assess impact and inform strategic planning.

Senior Manager, External Communications

Risk

• Be a trusted advisor, deeply understanding the customer’s business challenges and proactively address their evolving needs, all while making a lasting impact at the highest levels of business
• New account development and/or expanding existing accounts through maintaining revenue stream through successful renewal of existing business, and cross-sell and up-sell of new opportunities in a dedicated set of D&B solutions within an established portfolio of clients
• Map Dun & Bradstreet’s solutions to customer needs, ensuring a deep understanding of how our solutions can address specific business challenges, while demonstrating subject matter expertise
• Contribute to account-specific strategy by identifying customer needs through meeting with key influencers and stakeholders across the client organization
• Demonstrate product capabilities, overcome objections and create a customer-specific buying vision
• Drive credibility by combining use case expertise with vertical experience to demonstrate compelling success stories that will help drive business outcomes for customers
• Act as a bridge between customers and product development teams, conveying feedback and insights that can inform product enhancements and innovation
• Maintain consistent and accurate data in SFDC to support territory, account planning and forecasting
• Actively participate in Account Planning, Business Reviews, Quarterly Solutions reviews as required
• This role is intended for a professional who has wide-ranging experience

Sales Specialist IV, Risk Solutions

Account Executive

• Fulfill the role of trusted advisor on Dun & Bradstreet solutions through the development of strong, positive relationships with clients
• Maintain revenue stream through successful renewal of existing business and expand revenue stream through needs up-selling and cross-selling
• Proactively prospect, identify, qualify and develop a sales pipeline and close business to meet and exceed annual objectives
• Perform account planning for assigned accounts, coordinating with internal sales resources to ensure strategic alignment
• End-to-end accountability for driving the negotiation, contracting, and approval processes
• Maintain consistent and accurate data in SFDC to support territory, account planning and forecasting
• Collaborate with Marketing and other stakeholder teams to increase retention rates
• This role is intended for a fully qualified, experienced professional
• Complete required D&B certifications
• Additional duties as assigned

Account Executive III, Tier 3

• The Tier 2 Account Executive I is responsible for selling the Company’s products and services to new and/or existing clients and developing or expanding accounts primarily through face-to-face sales.
• Responsibilities focused on maintaining and growing the D&B revenue stream through renewal management, win-back, cross-sell, and up-sell of new opportunities.
• Identify new contacts and deepen relationships with current contacts.
• Generate new business through identifying new client needs that can be met with a D&B solution.

Account Executive I, Tier 2 UMO Vertical

• Work on development of B2B Risk solutions which includes Standard and custom solutions catering to various clients including fortune 500 companies
• Work with internal / external D&B clients and stakeholders; Participate in all aspects of a modelling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Applying LLMs, and prompt engineering to analyze large-scale, unstructured and structured B2B datasets (e.g., Company News, Corporate Annual Reports) for credit risk, fraud detection, and compliance.
• Design, develop and test new risk signals to effectively identify risk patterns from structured and Unstructured data
• Develop AI Agents for business deploying autonomous agents. These agents utilize Machine Learning (ML) and Natural Language Processing (NLP) to detect risk triggers, anomalies in real-time, shifting risk management from reactive reporting to predictive, actionable insights
• Ability to work on multiple assignments, many of which with challenging timelines
• Ability to work independently, as well as collaborate effectively in a team environment
• Partner with internal D&B team to develop new business solutions in risk analytics

Data Scientist II

• Lead the global Enterprise Risk program, including risk identification, assessment, prioritization, mitigation, monitoring, and reporting across the enterprise.
• Lead the global Business Continuity Management program and help drive enterprise operational resilience planning, testing, and continuous improvement.
• Serve as deputy leader for enterprise crisis management, helping coordinate governance, response readiness, scenario planning, and post-event lessons learned.
• Partner with Technology, Cybersecurity, Data, Product, Legal, Compliance, Finance, HR, Strategy, Operations, and International teams to assess and address risks arising from business transformation, acquisitions, product innovation, regulatory change, and market evolution.
• Oversee the enterprise risk register, key risk indicators, emerging risk processes, and executive reporting for the Enterprise Risk Committee, Board of Directors, and other senior leadership forums.
• Advance the use of modern AI tools, automation, analytics, and risk platforms to mature and accelerate enterprise risk capabilities, improve insight generation, strengthen monitoring, and increase team efficiency.
• Help shape and coordinate governance for AI and other emerging technologies, including risks related to model use, data quality, regulatory change, third-party dependency, and operational adoption.
• Define and enhance risk methodologies, taxonomies, scenarios, and reporting frameworks to better support strategic decision-making and board-level transparency.

Vice President, Enterprise Risk Management

Artificial Intelligence

• Designing and delivering AI-led solutions that solve real business problems
• Working closely with product, data, and engineering teams
• Building, deploying, and scaling GenAI Agentic AI systems
• Partnering with leading cloud and technology providers
• Contributing to a fast-moving, innovative AI environment