Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
Bounteous is seeking a CDP Consultant to help clients unlock the value of their customer data through Customer Data Platforms (CDPs), with a focus on Adobe Real-Time CDP. In this role, you will serve as a strategic consultant helping organizations translate business goals into scalable CDP use cases that enable audience activation, personalization, and cross-channel engagement.
This position sits within our Technology team and works closely with Solution Architects, Data Engineers, Marketing Strategists, and digital marketing specialists to bring data-driven customer experiences to life. The consultant leads discovery efforts, supports activation strategies, and partners with business and technical teams to design solutions that deliver measurable marketing outcomes.
Success in this role requires a strong consulting mindset, a passion for marketing technology, and the ability to translate complex technical concepts into clear insights for clients and internal teams. The ideal candidate is curious, detail-oriented, and proactive in identifying opportunities to better leverage customer data to power modern digital marketing.
While the immediate need is Adobe RTCDP expertise, candidates must be willing to learn and support a variety of CDP and marketing automation platforms in this role.
Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
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Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Role and Responsibilities:
Serve as the day-to-day platform consultant for clients, providing strategic guidance on Customer Data Platform (CDP) capabilities, use cases, and activation strategies.
Develop a deep understanding of each client’s business objectives, marketing strategy, and available customer data to ensure CDP initiatives support measurable marketing outcomes.
Lead discovery sessions, stakeholder interviews, and requirements gathering to identify opportunities for CDP-driven marketing use cases.
Translate marketing and business requirements into clear CDP business and technical requirements for identity resolution, data governance, data modeling, data ingestion, segmentation, channel activation, and audience reporting in partnership with Solution Architects and engineering teams.
Support product and strategy teams to prioritize activation-focused CDP use cases that support segmentation, personalization, and cross-channel customer engagement.
Define activation strategies that leverage downstream orchestration channels such as paid media, email, SMS, web personalization, and other channels commonly found in marketing automation platforms.
Partner with other platform consultants to create and maintain solution documentation for CDP and orchestration platforms.
Serve as the platform subject matter expert for each client’s CDP implementation, advising on platform capabilities, limitations, and best practices.
Manage incoming platform-related requests and collaborate with internal teams to prioritize and deliver CDP enhancements and activation initiatives.
Work closely with the Project Management team to coordinate delivery timelines and manage multiple concurrent initiatives.
Provide hands-on guidance and enablement to client teams, helping them operationalize CDP capabilities and maximize value from their marketing technology investments.
Preferred Qualifications:
5+ years of experience working in an agency environment; strong consulting, and client-facing skills
3+ years of experience working with CDPs, specifically Adobe RTCDP
Strong understanding of customer data platforms and the modern data infrastructure
Hands-on experience configuring Adobe Real-Time CDP, including creating complex audiences
Familiarity with all Adobe applications is strongly preferred
Experience with Adobe Tags (formerly called “Launch”) and AEP SDK implementation is a plus
Experience with analytics tools like Google Analytics or Customer Journey Analytics is a plus
Experience with data visualization tools such as Tableau, PowerBI, etc. is a plus
Experience with marketing automation tools is a plus
Experience with A/B testing tools is a plus
College degree in Marketing, Business, Analytics, Data Science or related field
