Director, Data Science — AI & Analytics for Health

Harnham; United States; Remote; USD 265,000 - 300,000; Full time

Job summary

Harnham partners with a major not-for-profit health system in the United States to appoint a Director, Data Science. This leadership role guides an AI/ML team translating complex data into measurable outcomes across customer, clinical, operational, and business domains, collaborating across data, engineering, product, digital, clinical, and operational teams.

The mandate includes defining an enterprise data science roadmap and applying ML to the customer journey, including unstructured data from

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, Operations Research, Public Health, Biomedical Informatics, or related field.
• At least 12 years of experience across data science, ML, analytics, statistics, optimization, or decision science.
• At least 5 years of leadership experience managing data science/analytics teams.
• Proven ability to translate ambiguous problems into production data science solutions with measurable outcomes.
• Strong foundation in ML, predictive analytics, statistical modeling, experimentation, causal inference, optimization, and evaluation.
• Experience operationalizing data science in partnership with engineering, product, and business teams.
• Experience with Python, R, SQL, ML libraries, notebooks, and cloud-based analytics.
• Understanding of deployment, monitoring, interpretability, bias, drift, and lifecycle management.
• Ability to communicate complex analytics to senior stakeholders.
• Experience in privacy, security, compliance, and reliability considerations.

Responsibilities

• Define and execute the enterprise data science roadmap across customer, clinical, operational, and business priorities.
• Identify opportunities where ML, analytics, optimization, and AI deliver measurable value.
• Lead development of predictive, prescriptive, and optimization models across priority domains.
• Oversee forecasting, segmentation, personalization, recommendation systems, propensity modeling, and decision support.
• Transform unstructured customer data into actionable insights and improved experiences.
• Establish standards for model development, experimentation, validation, deployment readiness, monitoring, and lifecycle management.
• Define frameworks for evaluating model performance across value, quality, reliability, fairness, and outcomes.
• Lead experimentation and measurement strategies including A/B testing and causal inference.
• Partner with Data Engineering, AI Engineering, Product, Digital, Clinical, and Operations to productionize models.
• Collaborate with ontology and knowledge teams to incorporate semantic context and enterprise definitions.
• Advise senior leaders on data science strategy, tradeoffs, risk, and measurable outcomes.
• Lead and develop a high-performing team of data scientists.

Skills

Leadership experience

Data science expertise

Communication to senior stakeholders

Python/R/SQL

Cloud analytics environments

ML / predictive analytics

Model deployment & monitoring

Privacy & security awareness

Problem translation to production

Education

Bachelor’s degree or higher in relevant field

Master’s degree or PhD in relevant discipline

Tools

Python

R

SQL

ML libraries

Notebooks

Cloud environments

Job description

Harnham partners with a major not-for-profit health system in the United States to appoint a Director, Data Science. This leadership role guides an AI/ML team translating complex data into measurable outcomes across customer, clinical, operational, and business domains, collaborating across data, engineering, product, digital, clinical, and operational teams.

The mandate includes defining an enterprise data science roadmap and applying ML to the customer journey, including unstructured data from