AI Product Manager w/ Pharma/BioTech/Med Dev exp Must
Please NOTE: *** MUST Have Life sciences Industry experience with either: pharmaceuticals, biotech, or medical devices!!
Our Direct client is seeking an AI Product Manager for a REMOTE Contract, ( 6 month contract to start)
The AI Product Manager will to partner with business and technology teams to deliver scalable solutions across data, analytics, and enterprise platforms.
• AI Product Manager w/ Life Sciences industry experience
• 6 month Contract to start, can extend
• REMOTE
• Monday – Friday, 40 hour work week.
• Contract: $85 - $90 /hour 1099 or Corp-2-Corp
• (This Contract is open for 1099 or Corp-2-Corp contract only! – NO W2 contract)
• No 3rd Parties inquires, direct candidates only
Remote Contract must work Pacific and/or Central Time Zone hours!
• ** MUST Have Pharma or Life Sciences experience!! ( pharmaceuticals, biotechnology, and medical technology industry experience)
We are seeking an experienced AI Product Manager to lead the definition, delivery, and scaling of AI‑enabled solutions across enterprise and/or scientific workflows. This role will partner closely with business stakeholders, data science, engineering, and compliance teams to translate real‑world life sciences use cases into production‑ready, compliant AI products. The ideal candidate brings a strong product mindset, fluency in AI concepts (e.g., generative AI, analytics, automation), and experience operating in regulated environments such as pharma, biotech, or medical devices.
Required Qualifications
• 5+ years of Product Management experience (enterprise, data, or digital products)
• Hands‑on experience delivering AI‑enabled, analytics, or automation solutions
• Strong ability to translate business problems into structured product requirements
• Experience working cross‑functionally with engineering, data science, and business teams
• Comfortable operating in complex, matrixed, and partially regulated environments
• Excellent communication and stakeholder‑management skills
• Experience in life sciences, pharmaceuticals, biotech, or medical devices
Preferred Qualifications
• Familiarity with regulated environments (e.g., GxP, clinical, quality, regulatory workflows)
• Exposure to generative AI, LLMs, intelligent automation, or advanced analytics
• Experience with enterprise platforms (e.g., Microsoft, data platforms, workflow tools)
• Background working on portfolio‑level or multi‑use‑case AI initiatives
Key Responsibilities
Product Strategy & Discovery
• Own the product vision, roadmap, and success metrics for assigned AI use cases
• Identify and prioritize high‑value AI opportunities aligned to business outcomes
• Translate ambiguous business problems into clear product requirements and user stories
• Navigate ambiguous, evolving problem spaces to uncover applied AI opportunities that deliver tangible business value
Delivery & Execution
• Partner with data science, engineering, and platform teams to deliver AI‑powered solutions end‑to‑end
• Lead backlog prioritization, sprint planning, and stakeholder reviews
• Ensure AI capabilities are production‑ready, scalable, and operationally supported
• Rapidly test assumptions, refine scope, and iterate toward MVPs that balance impact, feasibility, and risk
Stakeholder & Domain Engagement
• Work directly with SMEs across functions such as R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, or Commercial
• Act as the primary translator between business needs and technical implementation
• Manage expectations, trade‑offs, and timing across diverse stakeholder groups
Governance, Risk & Compliance
• Ensure AI solutions are designed with appropriate controls, documentation, and auditability
• Partner with Legal, Compliance, Quality, and IT to align with regulatory and data governance requirements (e.g., GxP, validation considerations)
• Define human‑in‑the‑loop workflows, guardrails, and success criteria for AI usage
Measurement & Iteration
• Define and track success metrics (adoption, value realization, quality, risk indicators)
• Incorporate user feedback and performance data to iteratively improve the product
• Support go‑to‑market, enablement, and change‑management efforts as needed
Client will ask for SAMPLE of work, that can be mock or blacked out / info pulled for privacy asking to provide one of these types of samples
Sample - About strategy creation
• Product strategy
• Product Road Map
• Go to Market Plan
• Use case documents
• MVP design
Must be able to pass and clear background check, employment and Education verification prior to starting. Also, the client Will Require 2 professional Work References to be completed once offer is made.
If you are interested, please send me your updated Word Resume, along with your direct phone number and email.
Pay: $85.00 - $90.00 per hour
Education:
• Bachelor's (Required)
Experience:
• IT: 7 years (Required)
• Artificial intelligence (AI): 2 years (Required)
• LLM or Gen AI: 1 year (Preferred)
• GxP: 1 year (Preferred)
• AI Product management: 2 years (Required)
• Product management: 5 years (Required)
• Pharma / BioTech / Med Device: 1 year (Required)
Work Location: Remote
Our Direct client is seeking an AI Product Manager for a REMOTE Contract, ( 6 month contract to start)
The AI Product Manager will to partner with business and technology teams to deliver scalable solutions across data, analytics, and enterprise platforms.
• AI Product Manager w/ Life Sciences industry experience
• 6 month Contract to start, can extend
• REMOTE
• Monday – Friday, 40 hour work week.
• Contract: $85 - $90 /hour 1099 or Corp-2-Corp
• (This Contract is open for 1099 or Corp-2-Corp contract only! – NO W2 contract)
• No 3rd Parties inquires, direct candidates only
Remote Contract must work Pacific and/or Central Time Zone hours!
• ** MUST Have Pharma or Life Sciences experience!! ( pharmaceuticals, biotechnology, and medical technology industry experience)
We are seeking an experienced AI Product Manager to lead the definition, delivery, and scaling of AI‑enabled solutions across enterprise and/or scientific workflows. This role will partner closely with business stakeholders, data science, engineering, and compliance teams to translate real‑world life sciences use cases into production‑ready, compliant AI products. The ideal candidate brings a strong product mindset, fluency in AI concepts (e.g., generative AI, analytics, automation), and experience operating in regulated environments such as pharma, biotech, or medical devices.
Required Qualifications
• 5+ years of Product Management experience (enterprise, data, or digital products)
• Hands‑on experience delivering AI‑enabled, analytics, or automation solutions
• Strong ability to translate business problems into structured product requirements
• Experience working cross‑functionally with engineering, data science, and business teams
• Comfortable operating in complex, matrixed, and partially regulated environments
• Excellent communication and stakeholder‑management skills
• Experience in life sciences, pharmaceuticals, biotech, or medical devices
Preferred Qualifications
• Familiarity with regulated environments (e.g., GxP, clinical, quality, regulatory workflows)
• Exposure to generative AI, LLMs, intelligent automation, or advanced analytics
• Experience with enterprise platforms (e.g., Microsoft, data platforms, workflow tools)
• Background working on portfolio‑level or multi‑use‑case AI initiatives
Key Responsibilities
Product Strategy & Discovery
• Own the product vision, roadmap, and success metrics for assigned AI use cases
• Identify and prioritize high‑value AI opportunities aligned to business outcomes
• Translate ambiguous business problems into clear product requirements and user stories
• Navigate ambiguous, evolving problem spaces to uncover applied AI opportunities that deliver tangible business value
Delivery & Execution
• Partner with data science, engineering, and platform teams to deliver AI‑powered solutions end‑to‑end
• Lead backlog prioritization, sprint planning, and stakeholder reviews
• Ensure AI capabilities are production‑ready, scalable, and operationally supported
• Rapidly test assumptions, refine scope, and iterate toward MVPs that balance impact, feasibility, and risk
Stakeholder & Domain Engagement
• Work directly with SMEs across functions such as R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, or Commercial
• Act as the primary translator between business needs and technical implementation
• Manage expectations, trade‑offs, and timing across diverse stakeholder groups
Governance, Risk & Compliance
• Ensure AI solutions are designed with appropriate controls, documentation, and auditability
• Partner with Legal, Compliance, Quality, and IT to align with regulatory and data governance requirements (e.g., GxP, validation considerations)
• Define human‑in‑the‑loop workflows, guardrails, and success criteria for AI usage
Measurement & Iteration
• Define and track success metrics (adoption, value realization, quality, risk indicators)
• Incorporate user feedback and performance data to iteratively improve the product
• Support go‑to‑market, enablement, and change‑management efforts as needed
Client will ask for SAMPLE of work, that can be mock or blacked out / info pulled for privacy asking to provide one of these types of samples
Sample - About strategy creation
• Product strategy
• Product Road Map
• Go to Market Plan
• Use case documents
• MVP design
Must be able to pass and clear background check, employment and Education verification prior to starting. Also, the client Will Require 2 professional Work References to be completed once offer is made.
If you are interested, please send me your updated Word Resume, along with your direct phone number and email.
Pay: $85.00 - $90.00 per hour
Education:
• Bachelor's (Required)
Experience:
• IT: 7 years (Required)
• Artificial intelligence (AI): 2 years (Required)
• LLM or Gen AI: 1 year (Preferred)
• GxP: 1 year (Preferred)
• AI Product management: 2 years (Required)
• Product management: 5 years (Required)
• Pharma / BioTech / Med Device: 1 year (Required)
Work Location: Remote