We are seeking a full-time Head of Technology & Data Science with managerial responsibilities to provide leadership for our India technology and data science operations.

Responsibilities:

• Lead India-based 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.
• Manage 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.
• Grow our 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 US 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.