Director, Safety and PV Systems – Innovation, AI
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Job Description
Director of Safety and PV Systems at Syneos Health responsible for technology solutions and cross-functional execution. Leading AI innovations and managing senior teams for patient safety analytics.
Responsibilities:
- Owns the roadmap and delivery of end-to-end SPVG technology solutions across case intake/processing, signal, aggregate reporting, submissions, QPPV oversight, literature, and safety analytics—balancing speed, compliance, and value
- Leads cross-functional execution with internal teams and external vendors/SIs; establishes governance, SLAs/KPIs, and validated deployments (CSV, 21 CFR Part 11, EU Annex 11, GAMP 5)
- Chairs innovation councils with customers and partners; converts problem statements into pilots/PoCs with clear success criteria and scales proven patterns into offering
- Serves as solution lead on RFIs/RFPs: reference architectures, delivery models, scope/estimation, commercial constructs, and oral/bid defenses
- Publishes points of view, presents at conferences/webinars, and briefs executives on the PV tech landscape (AI/NLP/RPA, data platforms, cloud, real-world data, advanced analytics)
- Leads live demos, workshops and innovation sessions
- Manages a small, senior team: mentors; drives portfolio planning, resourcing, budgets, and benefits realization
- Embeds risk-based quality, privacy, and security by design; partners closely with QA/Compliance and Data Privacy to ensure all solutions meet regulatory, quality, and data privacy requirements
- Design and build minimally viable AI/ML prototypes and proof of concepts (POCs) including LLM-based agents and automation solutions, using tools such as OpenAI, Azure OpenAI, Microsoft Copilot, and related platforms
- Develop or utilize connectors and integrations between AI tools and PV systems (e.g., APIs, data pipelines, middleware)
- Rapidly translate ideas to address PV Operational challenges into working demos to validate feasibility and business value
- Partner with engineering teams to transition POCs into scalable solutions
- Design and optimize prompt frameworks for PV use cases and establish prompt and accuracy governance
- Continuously refine AI outputs through testing, feedback loops, and performance
- Support AI model validation, monitoring, explainability, and risk management
- Lead and mentor AI/PV specialists
Requirements:
- Owns the roadmap and delivery of end-to-end SPVG technology solutions across case intake/processing, signal, aggregate reporting, submissions, QPPV oversight, literature, and safety analytics
- Leads cross-functional execution with internal teams and external vendors/SIs; establishes governance, SLAs/KPIs, and validated deployments (CSV, 21 CFR Part 11, EU Annex 11, GAMP 5)
- Chairs innovation councils with customers and partners; converts problem statements into pilots/PoCs with clear success criteria and scales proven patterns into offering
- Serves as solution lead on RFIs/RFPs: reference architectures, delivery models, scope/estimation, commercial constructs, and oral/bid defenses
- Publishes points of view, presents at conferences/webinars, and briefs executives on the PV tech landscape (AI/NLP/RPA, data platforms, cloud, real-world data, advanced analytics)
- Leads live demos, workshops and innovation sessions
- Manages a small, senior team: mentors; drives portfolio planning, resourcing, budgets, and benefits realization
- Embeds risk-based quality, privacy, and security by design; partners closely with QA/Compliance and Data Privacy to ensure all solutions meet regulatory, quality, and data privacy requirements
- Design and build minimally viable AI/ML prototypes and proof of concepts (POCs) including LLM-based agents and automation solutions, using tools such as OpenAI, Azure OpenAI, Microsoft Copilot, and related platforms
- Develop or utilize connectors and integrations between AI tools and PV systems (e.g., APIs, data pipelines, middleware)
- Rapidly translate ideas to address PV Operational challenges into working demos to validate feasibility and business value
- Partner with engineering teams to transition POCs into scalable solutions
- Design and optimize prompt frameworks for PV use cases and establish prompt and accuracy governance
- Continuously refine AI outputs through testing, feedback loops, and performance
- Support AI model validation, monitoring, explainability, and risk management
- Lead and mentor AI/PV specialists
Benefits:
- We are passionate about developing our people, through career development and progression
- Supportive and engaged line management
- Technical and therapeutic area training
- Peer recognition and total rewards program
- Committed to building an inclusive culture – where you can authentically be yourself
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