Digital RnD Decision Fabric Product Owner
Scorpion Therapeutics, Convent Station, New Jersey, us, 07961
Role Summary
Digital RnD Decision Fabric Product Owner – Morristown, NJ. Lead the design and implementation of the R&D Decision Fabric, an AI-driven decision infrastructure that unifies data, analytics, AI models, and decision-making workflows across R&D to enable data-driven, scalable decision support and accelerate medicine development.
Responsibilities
Lead the decision fabric’s technical design and implementation, collaborating with the architecture, Digital Data and AI, and digital R&D Data Product and Platform teams
Define the range of capabilities of the R&D Decision Fabric agents and their interfaces with the data and analytics fabrics to support all R&D decision support use cases
Define best practices and guidelines for digital R&D to build decision fabric elements or full agentic workflows focusing on connectivity, reusability, configurability, accessibility, security, governance, etc.
Maintain an inventory of all agents to avoid agentic chaos
Lead cross-R&D governance to prioritize use cases for the Decision Fabric and focus on synergies and reuse
Qualifications
Required:
8+ years’ experience in digital product management, preferably in the Pharmaceutical Industry
Required:
Proven expertise in designing and implementing Agentic AI workflows, preferably supporting enterprise decision-making
Required:
Experience in data integration, data management, data mastering and platform supporting those
Required:
Experience or familiarity with the following (selection): GenAI / Agents: Experience building GenAI-based applications or agents beyond PoC/PoV
DevOps & MLOps: CI/CD pipelines and ML model deployment/monitoring to support agile development of decision capabilities
Cloud Platforms: Familiarity with major cloud services (AWS preferred)
Data Infrastructure: Data lakes, warehouses, and pipelines (Snowflake, Databricks, Azure Synapse)
API Architecture: API design and management tools for seamless integration
AI/ML Frameworks: Various ML types (deep learning, regression, optimization, reinforcement learning, NLP) and their cloud implementations
Governance & Compliance Tools: Systems for audit trails, version control, regulatory compliance
Decision Management Systems: Rules engines, business process management, and decision modeling standards
Required:
Excellent communication, stakeholder engagement, and problem-solving skills
Required:
Experience leading cross-functional teams and ideation workshops
Required:
Ability to translate business needs into digital solutions that drive value
Education:
Bachelors degree required, Master’s degree preferred
Skills
Strategic product leadership for AI-driven decision platforms
Stakeholder management and cross-functional collaboration
Requirements gathering, roadmapping, and backlog prioritization
Strong problem-solving and analytical thinking
Education
Bachelors degree required
Master’s degree preferred
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Responsibilities
Lead the decision fabric’s technical design and implementation, collaborating with the architecture, Digital Data and AI, and digital R&D Data Product and Platform teams
Define the range of capabilities of the R&D Decision Fabric agents and their interfaces with the data and analytics fabrics to support all R&D decision support use cases
Define best practices and guidelines for digital R&D to build decision fabric elements or full agentic workflows focusing on connectivity, reusability, configurability, accessibility, security, governance, etc.
Maintain an inventory of all agents to avoid agentic chaos
Lead cross-R&D governance to prioritize use cases for the Decision Fabric and focus on synergies and reuse
Qualifications
Required:
8+ years’ experience in digital product management, preferably in the Pharmaceutical Industry
Required:
Proven expertise in designing and implementing Agentic AI workflows, preferably supporting enterprise decision-making
Required:
Experience in data integration, data management, data mastering and platform supporting those
Required:
Experience or familiarity with the following (selection): GenAI / Agents: Experience building GenAI-based applications or agents beyond PoC/PoV
DevOps & MLOps: CI/CD pipelines and ML model deployment/monitoring to support agile development of decision capabilities
Cloud Platforms: Familiarity with major cloud services (AWS preferred)
Data Infrastructure: Data lakes, warehouses, and pipelines (Snowflake, Databricks, Azure Synapse)
API Architecture: API design and management tools for seamless integration
AI/ML Frameworks: Various ML types (deep learning, regression, optimization, reinforcement learning, NLP) and their cloud implementations
Governance & Compliance Tools: Systems for audit trails, version control, regulatory compliance
Decision Management Systems: Rules engines, business process management, and decision modeling standards
Required:
Excellent communication, stakeholder engagement, and problem-solving skills
Required:
Experience leading cross-functional teams and ideation workshops
Required:
Ability to translate business needs into digital solutions that drive value
Education:
Bachelors degree required, Master’s degree preferred
Skills
Strategic product leadership for AI-driven decision platforms
Stakeholder management and cross-functional collaboration
Requirements gathering, roadmapping, and backlog prioritization
Strong problem-solving and analytical thinking
Education
Bachelors degree required
Master’s degree preferred
#J-18808-Ljbffr