The Role
Develops and executes the organization’s AI and automation strategy, overseeing projects from prototyping through deployment and maintenance. Leads and mentors AI specialists, data scientists, engineers, and analysts while collaborating with IT, product, operations, and compliance teams. Establishes AI development and governance practices, ensures regulatory and ethical compliance, manages budgets and resources, tracks project risks and outcomes, and reports to senior leadership. Promotes innovation and continuous professional development.
Summary Generated by Built In
Job Summary & Responsibilities
- Develop and execute the organization's AI and automation strategy in alignment with overall business goals.
- Oversee the end-to-end lifecycle of AI projects, from ideation and prototyping to deployment and maintenance.
- Lead and mentor a team of AI and automation specialists, data scientists, engineers, and analysts.
- Collaborate with cross-functional teams including IT, product, operations, and compliance to ensure successful project outcomes.
- Monitor industry trends and emerging technologies to identify opportunities for innovation and improvement.
- Establish and enforce best practices for AI model development, testing, validation, and deployment.
- Ensure that all AI and automation solutions adhere to ethical guidelines, data privacy laws, and regulatory standards.
- Manage budgets, timelines, and resource allocation for AI and automation initiatives.
- Communicate project progress, risks, and outcomes to senior leadership and stakeholders.
- Foster a culture of continuous learning and professional development within the AI automation team.
- Performs all other miscellaneous responsibilities and duties as assigned or directed.
#LI-Hybrid
Preferred Qualifications- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering; or equivalent combination of education and experience. in related field.
- Five years of experience in managing AI, Automation, machine learning, or data science projects.
- Two years of supervisory or management experience.
- Experience with cloud platforms and data technologies.
- Deep understanding of AI methodologies, including supervised and unsupervised learning, NLP, computer vision, and predictive analytics.
- Familiarity with regulatory frameworks (e.g., GDPR, CCPA) and ethical principles in AI development.
- Strong understanding of data security, privacy, and ethical considerations in AI.
- Intermediate knowledge of Microsoft Office applications, including but not limited to Word, Excel, Outlook, and PowerPoint.
- Proficiency in relevant programming languages (e.g., Python, R, Agents, Studio, anthropic, ansible, UIpath) and AI frameworks (e.g., TensorFlow, PyTorch).
Skills Required
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent education and experience
- Five years of experience managing AI, automation, machine learning, or data science projects
- Two years of supervisory or management experience
- Experience with cloud platforms and data technologies
- Deep understanding of supervised and unsupervised learning, NLP, computer vision, and predictive analytics
- Familiarity with regulatory frameworks such as GDPR and CCPA and ethical principles in AI development
- Strong understanding of data security, privacy, and ethical considerations in AI
- Intermediate knowledge of Microsoft Office applications, including Word, Excel, Outlook, and PowerPoint
- Proficiency in relevant programming languages and tools, including Python, R, Agents, Studio, Anthropic, Ansible, and UiPath
- Experience with AI frameworks such as TensorFlow and PyTorch
HMSA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about HMSA and has not been reviewed or approved by HMSA.
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Healthcare Strength — Medical and dental coverage are described as solid, with preventive services and select zero‑cost features adding value in recent plan years. Employer-sponsored plans can have affordable premiums in certain groups and broad access options.
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Retirement Support — A 401(k) with company match and potential discretionary contributions forms a strong component of total rewards. Retirement support complements the core medical and dental package.
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Leave & Time Off Breadth — Paid holidays and PTO that increases with tenure provide meaningful time‑off flexibility. Time‑away benefits scale with service length.
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The Company
What We Do
The Hawaii Medical Service Association (HMSA), an independent licensee of the Blue Cross and Blue Shield Association, is a reliable name in Hawaii health care. Established in 1938, we are the largest and most experienced provider of health care coverage in the state. Over half of Hawaii’s population have chosen HMSA for their health care coverage. We are dedicated to providing quality, affordable health plans; employee benefit services; and worksite wellness programs. HMSA also offers a variety of programs, services and support to help improve the health and well-being of our members and community.
