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Director, Safety and PV Systems – Innovation, AI
Syneos HealthDirector 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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in delivering end-to-end SPVG technology solutions, including AI/ML prototype development and integration with PV systems, while ensuring compliance with regulatory standards. Proven ability to lead cross-functional teams, manage projects, and mentor specialists in a fast-paced environment.
Highest-signal resume keywords
End-To-End SPVG Technology SolutionsAI/ML Prototype DevelopmentCross-Functional Team LeadershipRegulatory Compliance (CSV, 21 CFR Part 11, EU Annex 11, GAMP 5)Data Privacy and Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML PrototypingData Integration (APIs, Data Pipelines, Middleware)Advanced AnalyticsSignal ProcessingAggregate Reporting
Soft Skills
MentoringCross-Functional CollaborationInnovation LeadershipEffective Communication
Tools & Technologies
OpenAIAzure OpenAIMicrosoft CopilotNLPRPA
Industry Keywords
Pharmacovigilance (PV)Quality ManagementRisk ManagementGovernanceSLAs/KPIs
Tech Stack
Tools & technologiesAzureCloudRPA
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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