Senior Director, Data Science Engineering

About the role

HCSC is recruiting a leader for its Data Science Engineering function, which brings AI and machine learning solutions to production at scale through model deployment, MLOps, monitoring and reliability. The Senior Director leads a team of machine learning engineers working closely with data scientists, product managers and IT to turn AI/ML solutions into business value. The role sits in the Data Science & AI Solutions team and is hybrid, with three days per week in the office.

Key responsibilities

• Develop and implement strategic plans for the Data Science Engineering function aligned with organizational objectives.
• Lead machine learning engineers in designing, building and operationalizing scalable AI/ML solutions with data scientists, product managers and business stakeholders.
• Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring and lifecycle management for traditional ML and generative AI systems.
• Architect and oversee scalable, secure and reliable infrastructure for model training, inference and serving on cloud platforms.
• Drive engineering best practices such as code quality, automated testing, observability, reproducibility and responsible AI.
• Partner with IT, platform and data engineering teams to integrate AI/ML solutions into enterprise systems.
• Recruit, develop and evaluate personnel, and oversee the budget and operations of the function.
• Serve as liaison between the team and stakeholders, and ensure policies meet regulatory and industry requirements.

Required profile

• Bachelor's degree and 7 years of experience, or Master's degree and 6 years, or Ph.D. and 4 years, in computer science, engineering or a related field.
• 4 years of management or leadership experience.
• Ability to independently deliver or lead machine learning engineering solutions for multiple complex projects, and to oversee budgets and conduct cost-benefit analyses.
• Preferred: Master's in a computational field, or Bachelor's with significant healthcare experience.

Required skills

• Proficiency in at least five and mastery in one of: software engineering and version control, machine learning model development, MLOps and CI/CD, a high-level programming language (e.g. Python), generative and agentic AI, or healthcare.
• Preferred: cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, Databricks), and experience with generative AI, LLMOps, RAG and vector databases.

What we offer

• Base pay range of $161,500 to $299,700, varying with skills, experience and location.
• An annual incentive bonus plan subject to its terms and conditions.
• Benefits including health and wellness, 401(k), pension, paid time off, paid parental leave, disability insurance, tuition reimbursement and more.