Dun & Bradstreet

Marketing

• Define and lead the integrated marketing strategy and long-term roadmap, ensuring alignment with business growth objectives and market opportunities.
• Act as a strategic partner to senior business leaders, providing guidance on customer engagement, market trends, and growth opportunities.
• Develop and execute marketing plans across multiple business units, industries, and international markets.
• Set annual and quarterly marketing priorities that support business goals and go-to-market strategies.
• Leverage customer insights, market intelligence, and competitive analysis to identify opportunities and inform strategic decisions.
• Drive measurable business impact through marketing, including pipeline growth, customer acquisition, revenue contribution, and brand engagement.
• Establish and monitor key performance metrics to evaluate marketing effectiveness and optimize return on investment.
• Translate performance data and market insights into clear recommendations for business stakeholders and executive leadership.
• Manage and optimize marketing investments across channels, programs, regions, and strategic initiatives.
• Lead the development and delivery of integrated marketing campaigns across digital, content, communications, events, media, analyst relations, and field marketing.
• Partner with Product Marketing, Sales, and Customer Success teams to launch new products, solutions, and strategic growth initiatives.
• Create seamless and consistent customer experiences across the entire customer journey.
• Foster cross-functional collaboration across marketing, sales, product, and commercial teams.
• Champion innovative marketing approaches, technologies, and customer engagement strategies.
• Lead planning and prioritization across global marketing teams.
• Influence strategic business decisions through data-driven insights, market intelligence, and business cases.
• Build, lead, and develop a high-performing marketing team.

Director, Integrated Marketing

Data Engineer

• Build and maintain applications responsible for ingesting data into the Dun & Bradstreet Contact Pipeline
• Take ownership of existing applications for further development and improvements
• Analyze application performance and throughput blockers
• Work with senior data engineers and other team members to remove application bottlenecks
• Analyze codebases to increase performance
• Analyze datasets to identify process improvements and bugs
• Create metrics from existing applications to identify performance and throughput improvement areas
• Perform code reviews and test team members’ code changes
• Work as part of agile teams using lean principles and SCRUM methodology
• Work closely with related groups to ensure business continuity

Data Engineer I

Data Scientist

• Develop B2B risk solutions, including standard and custom solutions for clients such as Fortune 500 companies
• Work with internal and external Dun & Bradstreet clients and stakeholders
• Participate in modelling engagements, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Apply LLMs and prompt engineering to large-scale structured and unstructured B2B datasets for credit risk, fraud detection, and compliance
• Design, develop, and test risk signals to identify patterns in structured and unstructured data
• Develop AI agents using Machine Learning and Natural Language Processing to detect real-time risk triggers and anomalies
• Manage multiple assignments with challenging timelines
• Work independently and collaborate effectively in a team environment
• Partner with internal Dun & Bradstreet teams to develop new business solutions in risk analytics

Data Scientist, Analyst II

Cloud Engineer

• Lead and drive delivery of centralized solutions for critical and strategic Dun & Bradstreet solutions.
• Provide reference architectures and baseline implementations where appropriate.
• Develop and evangelize enterprise standards, guardrails, and implementation architectures for reuse.
• Guide secure abstraction-layer and Infrastructure-as-Code solutions enabling development and SRE teams to deploy cloud solutions rapidly.
• Create, plan, and communicate roadmaps with management, stakeholders, and the team.
• Consult with development groups to modernize business applications and meet business requirements, including AI-driven solutions.
• Mentor engineers and architects and collaborate with business partners to ensure solutions meet business objectives.
• Partner with Cyber Security and Risk groups to interpret security policies and implement guardrails, controls, and standards.
• Design and deliver platforms enabling Dun & Bradstreet to develop, deploy, and secure cloud-based solutions.

Director, Integrated Marketing

Data Engineer I

Data Scientist, Analyst II

Distinguished Cloud Architect