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In the context of deploying a recommendation system for an e-commerce platform, the platform aims to enhance user engagement and increase sales. The project involves multiple stakeholders, including UX designers, content writers, and marketing professionals. However, the primary challenge is to ensure that the machine learning (ML) model's success metrics are accurately aligned with the business objectives of increasing sales and improving customer satisfaction. Given the complexity of integrating ML solutions with business goals, which professional is BEST suited to oversee the alignment of the recommendation engine's success metrics with these business objectives, considering the need for technical expertise in ML and a deep understanding of business strategies? Choose one correct option.
A
UX Designer, focusing on optimizing the user interface for better engagement with the recommendation system.
B
Content Writer, responsible for creating compelling product descriptions to enhance the recommendations' appeal.
C
Chief Marketing Officer (CMO), overseeing the overall marketing strategy and its alignment with sales targets.
D
Google Cloud Professional Machine Learning Engineer, with expertise in aligning ML success metrics to business problems and ensuring the recommendation engine's performance directly contributes to sales growth and customer satisfaction.