Data Science Manager

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This range is provided by The Phoenix Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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The Data Science & AI Manager will spearhead initiatives spanning the entire lifecycle of AI and data-driven applications. This position combines leadership, technical expertise, and strategic insight to bring advanced analytics, machine learning, and generative AI solutions to life. The manager will collaborate across departments to deliver impactful AI products, scale automation, and promote data-driven decision-making throughout the company.

• AI Product Development: Lead the creation and integration of generative AI solutions into enterprise platforms.
• Champion the adoption of modern AI tools and technologies across departments.
• Build, optimize, and maintain AI workflows, including orchestration layers, vector databases, and API connections.
• Continuously refine performance through model tuning, testing, and iteration.
• Develop a deep understanding of the company’s data landscape and its interconnections.

• Design and conduct experiments, build and validate predictive models, and create algorithms that power real-time decisions.
• Apply statistical, machine learning, and optimization methods to support complex problem-solving.
• Ensure data quality, reproducibility, and scalability across solutions.

• Oversee research, prototyping, and agile development sprints for AI-driven products.
• Provide mentorship and best practices guidance to internal teams and external partners.
• Translate technical concepts into business value for executive and non-technical stakeholders.
• Develop and present roadmaps, capability briefings, and recommendations on AI opportunities.
• Partner with leaders across business units to identify use cases, measure ROI, and align AI initiatives with enterprise goals.

• Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 6–8 years of experience in data science, software engineering, or AI product development.
• Skilled in designing and deploying AI solutions on cloud-based and distributed environments (microservices, containers, or serverless systems).
• Proven ability to connect technical outputs with strategic business outcomes.
• Strong background in managing full project life cycles — from concept to production deployment.
• Experience delivering executive-level presentations and communicating complex insights clearly.

The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.