AI Product Manager
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Insight Global is hiring an AI Product Manager. The AI Product Manager will serve as a crucial link between executive leadership, business stakeholders, and technical AI engineering teams within a healthcare organization focused on senior populations. This role involves identifying, evaluating, and prioritizing enterprise AI opportunities, leading discovery sessions, and developing AI product strategies aligned with organizational goals. The manager will own the product lifecycle from ideation to optimization, partnering with AI Engineers to define roadmaps, success metrics, and governance standards for AI initiatives in Azure and Databricks environments.
Key focus areas include Act as the bridge between executive leadership, business stakeholders, and technical AI engineering teams, Identify, evaluate, and prioritize enterprise AI opportunities, and Lead discovery sessions across business functions to uncover high-value use cases.
Successful candidates bring 6+ Years Product Management Experience With AI, Data, Analytics, Or Digital Products, Azure Certification, and Databricks Certification. Important skills include Identifying AI/Generative AI Use Cases, Prioritizing AI/Generative AI Use Cases, Managing AI/Generative AI Use Cases, Gathering Requirements, Defining Product Roadmaps, and Azure.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
Insight Global is looking to hire a REMOTE AI Product Manager for a healthcare organization focused on serving senior populations. This individual will act as the bridge between executive leadership, business stakeholders, and technical AI engineering teams to identify, evaluate, and prioritize enterprise AI opportunities. They will lead discovery sessions across business functions to uncover high-value use cases and develop AI product strategies that align with organizational goals. The AI Product Manager will own the product lifecycle from ideation and requirements gathering through planning, deployment, adoption, and ongoing optimization. They will partner closely with AI Engineers developing agentic AI solutions, copilots, and automation tools while ensuring each initiative is managed as a scalable enterprise product. This role will help define product roadmaps, success metrics, governance standards, and implementation approaches for AI initiatives built within Azure and Databricks environments. The ideal candidate has experience bringing AI products from concept to production and can effectively align business objectives with technical delivery. This is a 6-month contract-to-hire opportunity with occasional travel to Denver (approximately once every 2-4 weeks) and a pay range of $90 - $105/hr W2 depending on experience.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
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6+ years of Product Management experience with a focus on AI, data, analytics, or digital products
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Experience identifying, prioritizing, and managing AI/Generative AI use cases from discovery through deployment
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Experience partnering with executive stakeholders and business leaders to gather requirements and define product roadmaps
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Experience managing products built on Azure cloud, Databricks, and enterprise data platforms
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Strong understanding of AI/ML concepts, LLMs, agentic AI solutions, and product lifecycle management - Healthcare industry experience
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Experience working with EHR, FHIR, HL7, or other healthcare data environments
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Azure or Databricks certifications
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Experience with Agile/Scrum product delivery methodologies
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Experience launching Generative AI products, copilots, chatbots, or automation solutions
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Familiarity with HIPAA, PHI, and data governance requirements
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