Job Overview
Location
Remote - United States
Job Type
Full-time
Category
Data Science
Date Posted
June 3, 2026
Full Job Description
đź“‹ Description
- • Lead strategic customer relationship initiatives for Dun & Bradstreet’s digital audiences, ensuring long-term client retention and growth through data-driven engagement.
- • Serve as the primary point of contact for key enterprise clients, building trusted advisory relationships to understand their business objectives and align Dun & Bradstreet’s solutions to their needs.
- • Collaborate cross-functionally with product, marketing, and analytics teams to deliver tailored digital audience solutions that drive client success and measurable ROI.
- • Develop and execute customized onboarding and adoption plans for new clients, ensuring seamless integration of Dun & Bradstreet’s data and analytics platforms into their workflows.
- • Monitor client health metrics and proactively identify at-risk accounts, implementing retention strategies to reduce churn and increase lifetime value.
- • Conduct regular business reviews with clients to assess performance, gather feedback, and uncover upsell or cross-sell opportunities within the digital audience product suite.
- • Translate complex data insights into clear, actionable recommendations that empower clients to optimize their marketing, sales, and risk management strategies.
- • Maintain accurate and up-to-date client records in CRM systems, ensuring all interactions, agreements, and outcomes are documented for internal alignment and reporting.
- • Represent Dun & Bradstreet at industry events, webinars, and client forums to strengthen brand presence and foster thought leadership in digital audience targeting.
- • Stay current on market trends, competitive offerings, and evolving digital advertising standards to provide clients with forward-looking advice and strategic positioning.
- • Partner with sales teams to transition new clients from acquisition to retention phases, ensuring continuity of service and alignment with post-sale expectations.
- • Drive client satisfaction through consistent communication, responsiveness, and a commitment to exceeding service-level agreements.
- • Contribute to the development of best practices, playbooks, and training materials to scale customer success across the digital audiences portfolio.
- • Support internal initiatives to improve product usability and client experience based on direct feedback from enterprise clients.
🎯 Requirements
- • Minimum 7 years of experience in customer relationship management, account management, or client success within a B2B SaaS or data analytics environment
- • Proven track record managing enterprise-level clients with complex data-driven products
- • Strong understanding of digital advertising ecosystems, audience targeting, and data privacy regulations (e.g., CCPA, GDPR)
- • Demonstrated ability to analyze client data and translate insights into strategic business recommendations
- • Excellent communication, presentation, and negotiation skills with experience conducting executive-level client reviews
- • Proficiency in CRM platforms (e.g., Salesforce) and analytics tools
🏖️ Benefits
- • Flexible remote work arrangement across the United States
- • Comprehensive health, dental, and vision insurance
- • 401(k) with company match
- • Generous paid time off and holiday schedule
- • Professional development stipend for training and certifications
- • Employee resource groups and diversity initiatives
Skills & Technologies
About Dun & Bradstreet, Inc.
Dun & Bradstreet is a global provider of commercial data, analytics and insights on businesses. The company maintains a database of more than 500 million corporate entities worldwide, offering credit reports, risk management tools, sales and marketing intelligence, supply chain data, and compliance solutions. Founded in 1841, it serves enterprises, financial institutions and governments seeking to assess business creditworthiness, identify opportunities and mitigate risk. Its offerings are delivered through cloud-based platforms and APIs, integrating with customer systems to support informed decision-making across finance, procurement and regulatory functions.
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