- Страна
- США
- Зарплата
- 178 500 $ – 240 000 $
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AI Program & Governance Lead
Высокая оценка обусловлена социально значимой миссией компании, конкурентной заработной платой и стратегической важностью роли. Позиция предлагает уникальную возможность формировать стандарты использования ИИ в здравоохранении.
Сложность вакансии
Роль требует редкого сочетания глубоких технических знаний (Software/Security Engineering) и навыков управления программами в регулируемых отраслях. Высокая сложность обусловлена необходимостью внедрять контроли для ИИ, не замедляя темпы разработки.
Анализ зарплаты
Предлагаемая зарплата ($178k - $240k) находится на верхнем уровне рыночных ожиданий для позиций уровня Lead в области AI Governance и Security в США, особенно для сектора HealthTech. Она полностью соответствует высокой ответственности и требуемому техническому опыту.
Сопроводительное письмо
I am writing to express my strong interest in the AI Program & Governance Lead position at Thyme Care. With a solid foundation in software engineering and extensive experience managing programs in high-trust, regulated environments, I am uniquely positioned to bridge the gap between technical AI innovation and robust governance. I admire Thyme Care’s mission to humanize cancer care and believe that a well-structured AI governance framework is essential to maintaining the trust of members and clinicians while accelerating the delivery of value-based care.
In my previous roles, I have successfully operationalized complex compliance and security controls into seamless workflows that empower engineering teams rather than slowing them down. I have a deep understanding of the AI ecosystem, including the implementation of evals, monitoring, and release gates for LLM systems. My approach to governance is rooted in enablement; I strive to provide the infrastructure and clarity needed for teams to innovate safely. I am eager to bring my expertise in cross-functional facilitation and operational rigor to the AI Governance Committee at Thyme Care to ensure your AI initiatives are both impactful and secure.
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Присоединяйтесь к Thyme Care, чтобы возглавить развитие безопасного и этичного ИИ в сфере борьбы с раком.
Описание вакансии
OUR MISSION
We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.
Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.
As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.
Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.
WHAT YOU’LL DO
We're hiring an AI Program & Governance Lead to make sure our AI Program at Thyme Care stays safe and trusted while drastically expanding the scope of use cases and value delivered to our members, stakeholders and the organization. You'll own the program and the operating system that ensures we manage AI risk by ensuring teams have the appropriate tooling, infrastructure, guidance, training, enablement and controls without slowing builders down.
This isn't a compliance checkbox role. You need real technical depth (software engineering or security engineering background), and you’ll need to stay at the frontier of what's possible with AI and translate that into practical controls and enablement by making real infrastructure available that improves the product, engineering and cross-functional dev environments and corporate environments to take advantage of AI capabilities and ship value in production products and workflows. You'll work daily with Product, Eng, Data, Clinical, Ops, Security, and Legal, and you’ll be a key stakeholder on our AI Governance Committee.
Additionally, you will:
- Own AI governance intake: ensure pilots, purchases, and launches go through proper security and risk reviews before they happen
- Facilitate governance committee reviews and drive decisions to resolution
- Build and maintain the operational infrastructure of our AI program: documentation, audit trails, escalation pathways
- Operationalize evals, labeling and monitoring in ways that serve PMs, engineers, clinicians and other cross-functional stakeholders
- Own training and enablement: help non-technical teams understand AI capabilities, governance and potential opportunities for value
- Coordinate with Security/Privacy on vendor risk, BAAs, and compliance requirements
- Translate AI controls into practical, operationalized team workflows that don't create unnecessary friction
What Great Looks Like
- Governance decisions happen quickly and with clear rationale, and teams know exactly what's required before launching an AI feature and don't find it burdensome
- We have clean audit trails that would satisfy external scrutiny, and effective controls that keep members safe and our brand trusted among stakeholders
- We have infrastructure that serves various teams’ unique needs to make adopting or using AI capabilities an easy choice
- You're seen as an enabler, not a blocker
WHAT YOU’VE DONE
- You’re deeply engaged with the AI ecosystem, and stay current on recent AI tooling/innovation
- Technical foundation: ideally, a software engineering or security engineering background
- Program management experience in regulated, high-trust environments (security, privacy, compliance)
- Excellent cross-functional facilitation; can drive decisions across stakeholders with different priorities
- Operational rigor: documentation, artifacts, audit trails, escalation pathways, process improvement are second nature
- Can translate AI controls into practical team workflows
Nice-to-haves:
- HIPAA or healthcare security/privacy experience
- Experience implementing governance for AI or ML/LLM systems (evals, monitoring, release gates)
- Vendor risk and procurement coordination experience
- Comfort owning enablement/training programs for non-technical audiences
OUR VALUES
At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $178,500-$240,000. The salary range could be lower or higher than this if the role is hired at another level. This position is also bonus-eligible.
We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.
Be cautious ofrecruitment fraud, and always confirm that communications are coming from an official Thyme Care email.
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Навыки
- AI Governance
- Software Engineering
- Security Engineering
- Program Management
- HIPAA
- Machine Learning
- LLM
- Risk Management
- Compliance
- Data Science
Возможные вопросы на собеседовании
Проверка технического бэкграунда и понимания специфики ИИ.
Как бы вы организовали процесс оценки (evals) и мониторинга для LLM-системы, используемой в клинических условиях?
Оценка способности балансировать между безопасностью и скоростью разработки.
Опишите случай, когда требования комплаенса мешали разработке продукта. Как вы нашли компромисс?
Проверка навыков управления рисками при работе с внешними поставщиками.
На какие ключевые аспекты безопасности и конфиденциальности данных вы обратите внимание при аудите стороннего AI-вендора в рамках HIPAA?
Оценка лидерских качеств и умения работать с разными стейкхолдерами.
Как вы будете объяснять риски и возможности ИИ нетехническим командам (например, юридическому отделу или врачам)?
Проверка операционного мышления.
Как вы планируете выстроить процесс 'AI governance intake', чтобы он был прозрачным и быстрым для инженеров?
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- Страна
- США
- Зарплата
- 178 500 $ – 240 000 $