Lead strategy, development, and governance of AI and data platforms to drive data-driven decisions.
Manage ML model deployment and monitoring.
Ensure responsible AI practices and data governance.
Develop data strategy and build scalable data platforms.
Requirements
Master’s degree in data engineering, data science, computer engineering, or a related quantitative field.
15+ years of deep hands-on experience in data architecture, data engineering, AI/ML fundamentals, cloud platforms (e.g., AWS, Azure, GCP), and advanced data science techniques.
10+ years of proven experience leading data science, AI/ML, and data engineering teams.
Experience in designing, implementing, and deploying scaled AI/ML enterprise applications.
2+ years of experience working with C-level stakeholders and influencing enterprise strategy with ability to translate technical vision into business value and drive organizational change.
Proven ability to both set a visionary strategy and execute pragmatically to deliver measurable value.
Benefits
Zeus offers competitive pay and a great benefits package.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata engineeringAI fundamentalsML fundamentalscloud platformsAWSAzureGCPadvanced data science techniquesAI/ML enterprise applications
Soft skills
leadershipinfluencingcommunicationorganizational changestrategic visionexecutionstakeholder managementtranslating technical visiondriving valuemeasurable value
Certifications
Master’s degree in data engineeringMaster’s degree in data scienceMaster’s degree in computer engineeringMaster’s degree in a related quantitative field