[Hiring] Manager of AI and Data Science @Premera Blue Cross

Role Description

As our Manager of AI and Data Science, you'll lead a talented team of data scientists and AI innovators developing cutting-edge solutions that improve decision-making, unlock new opportunities, and shape the future of healthcare.

What you’ll do:

• Build and lead a high-performing team of data scientists, machine learning scientists, and experimental engineers, fostering a culture of innovation, rigorous experimentation, and continuous learning.
• Stay at the forefront and capitalize on advancements in AI by driving alignment with organizational goals.
• Lead cross-functional collaborations with business, analytical, and technical teams to ideate and develop innovative AI/ML models and actionable insights addressing complex healthcare challenges.
• Lead hands-on exploration, development, and iterative testing of advanced AI/ML models to drive strategic insights and innovative business solutions.
• Champion continuous experimentation, rapid prototyping, and data-driven validation while ensuring timely, high-quality results.
• Oversee continuous model performance monitoring to detect drift and ensure ongoing validity of AI/ML solutions.
• Guide re-training strategies and collaborate on timely issue resolution, maintaining scientific rigor and reliability.
• Collaborate with stakeholders to continuously evaluate the strategic impact and business value of AI/ML prototypes and production models.
• Champion and reinforce rigorous experimentation and development best practices.
• Mentor and coach data scientists, machine learning scientists, and experimental engineers.
• Instill a culture of iterative experimentation and flexible, agile-like development practices.
• Establish and uphold comprehensive documentation practices for experimental design, model development, and data usage.
• Build strong partnerships with business leaders, fostering a deep understanding of the potential and outcomes of cutting-edge AI/ML advancements.

Qualifications

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, or a related quantitative field; or 5+ years of equivalent professional experience.
• 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning.
• 5+ years of hands-on experience developing and validating AI/ML solutions in industries with a track record of effectively transitioning models from research to pilot or POC.
• 5+ years of experience conducting quantitative analytics.

Requirements

• Advanced degree (Masters/PhD) in a quantitative, computational, or scientific field, with demonstrated expertise in AI/ML development methods.
• 2+ years managing cross-functional research collaborations or academic/industry partnerships with a strong focus on innovative AI/ML development.
• 5+ years expertise with core data science libraries (NumPy, Pandas, Matplotlib and scikit-learn).
• Experience with NLP libraries (e.g., Hugging Face Transformers, SpaCy) or specialized packages (e.g., XGBoost, LightGBM).
• 5+ years of experience productionizing and monitoring AI models and solutions with MLOps frameworks (e.g., MLflow, Kubeflow).
• 5+ years working within Agile-like test and learning environments.
• 5+ years of healthcare and healthcare data experience resulting in the creation of solutions and systems for the healthcare industry.
• 2+ years implementing responsible AI practices.

Benefits

• Medical, vision, and dental coverage with low employee premiums.
• Voluntary benefit offerings, including pet insurance for paw parents.
• Life and disability insurance.
• Retirement programs, including a 401K employer match and a pension plan that is vested after 3 years of service.
• Wellness incentives with a wide range of mental well-being resources.
• Generous paid time off to reenergize.
• Tuition assistance for both undergraduate and graduate degrees.
• Employee recognition program to celebrate anniversaries and team accomplishments.
• Commuter perks and free convenient on-site parking.
• Subsidized on-campus cafes.
• Engaging on-site activities such as health and wellness events.
• Complementary fitness & well-being center offering virtual workouts and nutritional counseling.