Data Analyst, who focuses on interpreting data and providing reports but may not directly influence model alignment with business strategies.

Chief Technology Officer (CTO), who oversees the company's technology strategy but may not be involved in the day-to-day alignment of ML models with specific business goals.

Data Scientist, who designs and implements machine learning models but may prioritize technical metrics over business outcomes.

Google Cloud Professional Machine Learning Engineer, who specializes in bridging the gap between technical model performance and business objectives, ensuring models are evaluated based on their contribution to increasing sales.

Product Manager, who understands customer needs and business goals but may lack the technical expertise to align ML models with these objectives.