Senior Director, Data Science & AI

Franklin, NH - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

Description
Job Summary

The Senior Director Data Science & AI serves as the strategic and operational leader for the organizations enterprise-wide data science and artificial intelligence initiatives. This role is responsible for shaping and executing CHSs data-driven innovation agenda with a focus on improving healthcare outcomes optimizing operational efficiency and generating measurable business value. The Senior Director leads a multidisciplinary team of data scientists and AI specialists fostering a culture of technical excellence and ethical innovation. This position partners closely with senior leaders across clinical financial and operational domains to translate high-impact business challenges into scalable AI and machine learning solutions that align with CHSs mission and strategic goals.

Essential Functions

Defines and leads the enterprise-wide strategy for data science and artificial intelligence ensuring alignment with CHSs clinical operational and business priorities. Establishes a clear vision and multi-year roadmap for leveraging advanced analytics and AI to drive innovation improve outcomes and deliver measurable value.
Builds mentors and leads a high-performing team of data scientists and AI professionals. Establishes a culture of innovation continuous learning and data-driven decision-making.
Partners with executive leaders across quality safety finance operations nursing and informatics to translate complex business challenges into actionable data science and AI solutions. Serves as the primary liaison between technical teams and business stakeholders ensuring clear communication and alignment across clinical and operational priorities.
Leads the end-to-end lifecycle of data science and AI initiatives - from identifying opportunities and sourcing data to model development deployment performance monitoring and continuous optimization - ensuring cross-functional alignment business adoption and lasting impact.
Guides the development and implementation of advanced AI use cases including predictive analytics patient risk modeling clinical decision support demand forecasting capacity optimization and natural language processing (NLP).
Establishes and enforces enterprise standards for data governance model development validation deployment monitoring and ethical AI usage.
Champions innovation and the adoption of modern AI techniques such as deep learning generative AI and reinforcement learning where appropriate.
Ensures compliance with federal and state regulations regarding data privacy security and AI model usage in healthcare (e.g. HIPAA FDA ONC).
Communicates complex technical concepts insights and recommendations effectively to executive audiences and non-technical stakeholders.
Performs other duties as assigned.
Complies with all policies and standards.

Qualifications

Masters Degree in Data Science Computer Science Statistics Bioinformatics or a related quantitative field required
Ph.D. preferred
More than 10 years of progressive experience in data science AI or advanced analytics required
5-7 years in a leadership role managing data science teams required
Experience in a large healthcare system preferred

Knowledge Skills and Abilities

Proven track record of developing and implementing successful large-scale data science and AI initiatives that have delivered significant business value.
Demonstrated experience in shaping data science strategy and influencing executive-level decision-making.
Expert-level knowledge of machine learning deep learning statistical modeling data engineering and model deployment best practices.
Proficiency with advanced analytics using Python and familiarity with libraries such as pandas numpy scikit-learn Keras and TensorFlow.
Strong experience with cloud platforms (e.g. AWS Google Cloud Azure Oracle) and the deployment of ML/AI applications in a cloud environment.
Extensive experience working with large complex datasets including clinical and healthcare data and proficiency in data integration from various sources like relational databases (e.g. BigQuery Postgres-SQL) and data lakes.
Excellent communication and interpersonal skills with the ability to articulate a vision influence stakeholders and lead cross-functional teams.
Strong executive presence and the ability to influence communicate and collaborate across all levels of the organization.
Experience managing budgets vendor relationships and strategic partnerships related to data science and AI.
Commitment to ethical AI development and responsible innovation.

Required Experience:

Exec

DescriptionJob SummaryThe Senior Director Data Science & AI serves as the strategic and operational leader for the organizations enterprise-wide data science and artificial intelligence initiatives. This role is responsible for shaping and executing CHSs data-driven innovation agenda with a focus on...

Defines and leads the enterprise-wide strategy for data science and artificial intelligence ensuring alignment with CHSs clinical operational and business priorities. Establishes a clear vision and multi-year roadmap for leveraging advanced analytics and AI to drive innovation improve outcomes and deliver measurable value.
Builds mentors and leads a high-performing team of data scientists and AI professionals. Establishes a culture of innovation continuous learning and data-driven decision-making.
Partners with executive leaders across quality safety finance operations nursing and informatics to translate complex business challenges into actionable data science and AI solutions. Serves as the primary liaison between technical teams and business stakeholders ensuring clear communication and alignment across clinical and operational priorities.
Leads the end-to-end lifecycle of data science and AI initiatives - from identifying opportunities and sourcing data to model development deployment performance monitoring and continuous optimization - ensuring cross-functional alignment business adoption and lasting impact.
Guides the development and implementation of advanced AI use cases including predictive analytics patient risk modeling clinical decision support demand forecasting capacity optimization and natural language processing (NLP).
Establishes and enforces enterprise standards for data governance model development validation deployment monitoring and ethical AI usage.
Champions innovation and the adoption of modern AI techniques such as deep learning generative AI and reinforcement learning where appropriate.
Ensures compliance with federal and state regulations regarding data privacy security and AI model usage in healthcare (e.g. HIPAA FDA ONC).
Communicates complex technical concepts insights and recommendations effectively to executive audiences and non-technical stakeholders.
Performs other duties as assigned.
Complies with all policies and standards.

Qualifications

Masters Degree in Data Science Computer Science Statistics Bioinformatics or a related quantitative field required
Ph.D. preferred
More than 10 years of progressive experience in data science AI or advanced analytics required
5-7 years in a leadership role managing data science teams required
Experience in a large healthcare system preferred

Knowledge Skills and Abilities

Proven track record of developing and implementing successful large-scale data science and AI initiatives that have delivered significant business value.
Demonstrated experience in shaping data science strategy and influencing executive-level decision-making.
Expert-level knowledge of machine learning deep learning statistical modeling data engineering and model deployment best practices.
Proficiency with advanced analytics using Python and familiarity with libraries such as pandas numpy scikit-learn Keras and TensorFlow.
Strong experience with cloud platforms (e.g. AWS Google Cloud Azure Oracle) and the deployment of ML/AI applications in a cloud environment.
Extensive experience working with large complex datasets including clinical and healthcare data and proficiency in data integration from various sources like relational databases (e.g. BigQuery Postgres-SQL) and data lakes.
Excellent communication and interpersonal skills with the ability to articulate a vision influence stakeholders and lead cross-functional teams.
Strong executive presence and the ability to influence communicate and collaborate across all levels of the organization.
Experience managing budgets vendor relationships and strategic partnerships related to data science and AI.
Commitment to ethical AI development and responsible innovation.

Required Experience:

Exec