Marketing & Analytics Manager

• Combine practical experience in Google Vertex AI with strong understanding of ML Ops concepts to design maintainable workflows that scale across multiple hotel related machine learning projects.
• Apply solid knowledge of machine learning fundamentals including feature engineering evaluation metrics and model lifecycle management to deliver dependable solutions in hotel business contexts.
• Demonstrate hands on data engineering proficiency with batch and near real time processing so that hotel transaction streams and operational feeds are consistently available for analytics and models.
• Bring proven background working within hotel or hospitality domain environments where data is used to drive revenue management guest personalization or operational optimization outcomes.
• Utilize strong analytical and problem solving abilities to diagnose data pipeline issues assess model performance in hotel scenarios and implement targeted improvements that enhance business value.
• Leverage clear communication and stakeholder engagement skills to explain complex data and machine learning concepts in simple terms that support decision making across hotel operations and technology teams.

The annual salary for this position is between $75-85K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting.

Cognizant reserves the right to modify this information at any time, subject to applicable la

Cognizant US Corporation is an Equal Opportunity Employer Minority/Female/Disability/Veteran.

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