5 дней назад
Sr Product Manager - Healthcare AI
119 300 - 198 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Product Manager - Healthcare AI (Next Best Action and recommendation systems): Leading the strategy and delivery of an AI/ML-powered decisioning capability for healthcare workflows with an accent on experimentation, data foundations, and responsible AI. Focus on defining signals and use cases, partnering with Data Science and ML Engineering, and ensuring recommendations are measurable, fair, explainable, and compliant.
Location: Columbus, Ohio, United States
Base pay: $119,300–$198,800 per year
Company
Healthcare products and services organization focused on improving access to quality care through data, technology, and partnerships.
What you will do
- Lead product strategy and end-to-end delivery for the Next Best Action initiative.
- Define priority signals, use cases, workflows, and roadmap requirements for a recommendation and decisioning engine.
- Partner with Data Science, ML Engineering, and Data Engineering on problem framing, model trade-offs, evaluation metrics, data quality, access, and integration.
- Design experimentation, A/B testing, measurement, and feedback loops to improve recommendation quality.
- Champion fair, explainable, and compliant AI practices in partnership with Legal, Privacy, and Compliance.
- Align Engineering, Data Science, UX, Commercial, Operations, and leadership stakeholders while communicating roadmap priorities and trade-offs.
Requirements
- Degree or equivalent experience with typically 7+ years of relevant experience.
- Healthcare product management experience or familiarity with technical product development methodologies such as Agile.
- Fluency in data, AI, and machine learning concepts sufficient to partner with Data Science and ML Engineering in a healthcare setting.
- Experience defining experimentation, A/B testing, and quantitative measurement for product decisions.
- Technical competency in data and analytics, data science, or AI/ML.
- Experience working with cross-functional teams across Engineering, Data Science, UX, Operations, and Commercial; healthcare, biopharma, or payer experience is preferred.
Nice to have
- Experience building or launching recommendation engines, decisioning systems, or personalization capabilities.
- Knowledge of responsible AI, including fairness, explainability, and bias mitigation in regulated healthcare environments.
- Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products.
- Financial acumen, stakeholder influence, prioritization, and experience operating in ambiguous matrixed environments.
Culture & Benefits
- Full-time position within a Fortune 10 healthcare organization.
- Competitive base compensation with potential annual bonus and long-term incentive opportunities.
- Work focused on healthcare access, patient outcomes, and responsible use of AI.
- Equal employment opportunity and reasonable accommodation support are provided.
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