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Technology Director and Data Science Leader
2 weeks ago
We are seeking a full-time Technology Director and Data Science Leader to provide strategic leadership for our technology and data science operations.
Responsibilities:
- Lead cross-functional teams of software engineering staff, data scientists, and other technical staff involved in the development of clinically relevant, AI-enabled, enterprise-level health analytics and risk management solutions.
- Oversee the development of AI and NLP-based analytics products with an end-user clinical and care management perspective.
- Manage the development and maintenance of full-stack software solutions for health risk, clinical summarization, and health equity analytics.
- Build out our suite of internal service tools and platforms that process healthcare datasets, EHR, claim, and care management data.
- Demonstrate operational efficiency by continuously improving and implementing project management tools and processes that contribute to optimal team performance and results.
- Encourage continuous innovation and out-of-the-box thinking.
- Guide the team's ability to transform ideas from high-level business problem statements to practical data- and AI-driven health analytics.
- Cultivate a high-performing team of energetic, skillful, and dedicated staff through highly selective hiring and integration.
Qualifications:
- Experience in running and leading internal resources posted in different geographies and time zones and managing teams, team building, coaching, and mentoring.
- At least 10+ years of software engineering experience including maintaining/operating at least one software product for 2+ years.
- At least 5+ years of hands-on experience with cloud computing and/or data processing and/or data science.
- Extensive team building and leadership experience and excellent communication skills in English and Hindi.
Required Skills:
- Strong executive presence and ability to interface effectively with leadership.
- Degree in computer science, math, statistics, or another engineering field.
- Strong software security focus and mindset, experience with security certifications.
- Ability to manage and communicate effectively with both technical and non-technical teams.
- Ability to translate client and SME insights into product and operational requirements for the technical teams.
- Experience working with healthcare data and/or in the healthcare domain.
