What are the responsibilities and job description for the Personalization Manager position at Bounteous?
Bounteous is leading the charge in dynamic digital experiences and is looking for the right team members to drive those results. In our ever-changing, fast-paced digital world, our approach helps brands envision, harness, and enable their online and mobile presence.
We are looking for a Manager of Personalization to create big-picture digital solutions and deliver transformational brand experiences. This person will work within our Marketing Services team and will be responsible for assisting our Personalization Director with achieving channel goals and growth. If you are passionate about collaborating with curious minds as help solution complex problems then we want to hear from you!
- 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
Mature and expand the adoption of testing and personalization projects at Bounteous along with the supporting technology
Demonstrate a proven track record in developing testing and personalization strategies aligned with client business objectives
Evaluate campaign effectiveness through report generation, insights provision, next-step delineation, and iterative testing plan refinement.
Maintain thorough documentation of testing and personalization processes, continually seeking areas for optimization.
Oversee the configuration, administration and operation of CRO platforms to support multi-channel campaigns
Audit Adobe Target and Adobe Experience Platform (AEP) audiences to identify overlap, collision risk, audience refresh cadence, and cross-activity conflicts impacting personalization experiences.
Analyze audience qualification and activation strategies across Adobe Target activities, including quantifying overlap rates, identifying conflicting messaging/experiences, and documenting current prioritization approaches.
Develop scalable governance recommendations for audience creation, sharing, lifecycle management, and experience prioritization across AEP and Adobe Target.
Define best practices for audience strategy, including audience granularity, recency windows, trait usage, overlap mitigation, and Target activity structuring, with clear “good vs. bad” implementation examples.
Partner with stakeholders to align on intended audience experiences, platform limitations within AEP, and recommended frameworks to improve personalization consistency and reduce experience conflicts.
2 years of related experience in Product Management and Testing and Personalization with a proven track record of driving customer experience improvements
Understanding of database management and APIs
Previous work with CDPs, marketing automation, and omni-channel campaign management platforms required
Bachelor's degree in Marketing, Computer Science, Information Technology or a related field required
Agency experience preferred but not required
Solid understanding of digital marketing & data reporting
Passion for the digital domain and use of technology to solve business problems
Ability to learn new technologies at high level to identify use opportunities
Experience with tag management systems and data layers
Experience working with Adobe Target and Adobe Analytics
Be self-motivated, responsive, professional, and dedicated to customer success
Fluent in English language and is able to lead client meetings and conversations
Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly experienced in the role.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.