Senior Director, Head of Application Engineering and Productionization
Scorpion Therapeutics, Hartford, Connecticut, United States
Role Summary
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) drives the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA collaborates with Pfizer functions to deploy production-grade AI solutions that simplify work and deliver measurable value. Lead the application engineering and productionization function to design, build, and scale enterprise applications and AI/ML solutions, working closely with the Platform Ops team in Digital to deliver effective deployments. Responsibilities
Strategy & architecture: Define the overall strategy and governance model for application engineering and productionization, establishing frameworks, patterns, and standards for how AI and digital products are built, deployed, and maintained Strategy & architecture: Align on architectural decisions on front-end, full-stack, cloud platforms (e.g., AWS, Azure, GCP), and CI/CD pipelines, to ensure scalability, performance, and security Strategy & architecture: Partner with the Heads of Agent Product Management, Full Stack Development, Data Engineering, and Data Strategy to maintain consistent architecture, shared infrastructure, and unified engineering standards across AIA Build & ship (governance level): Oversee the design, development, and rollout of applications and tools used across AIA pods, with a focus on reuse and maintainability Build & ship: Lead front-end and full-stack development teams in implementing secure, scalable interfaces and integrations with enterprise systems and APIs Build & ship: Establish, govern and align to CI/CD pipelines, release management, and environment configuration for applications and maintain alignment with security and quality standards Build & ship: Collaborate with agent and AI/ML engineering teams to move AI/ML models into production with strong deployment, versioning, and monitoring practices Quality & reliability: Define quality standards and performance metrics for applications covering uptime, latency, reliability, and user experience Quality & reliability: Oversee the implementation of automated testing, logging, and observability platforms to ensure operational excellence Quality & reliability: Establish mechanisms for proactive issue detection, incident response, and continuous improvement of application stability and security Team & culture: Build and lead a high-performing engineering organization (~30 FTEs) across front-end, full-stack, DevOps, and architecture disciplines Team & culture: Set strong technical direction, review design and code, and mentor senior engineers and engineering managers to raise the organizational engineering bar Team & culture: Foster a culture of technical excellence, accountability, and continuous learning, emphasizing reusable components, automation, and engineering rigor Cross-functional impact: Partner with Data Engineering, Product, Agent Product Management, and Platform Ops teams to ensure seamless integration of applications with data pipelines, APIs, and orchestration frameworks Cross-functional impact: Work with the Data Strategy & Performance team to align engineering practices with enterprise governance, security, and compliance requirements Cross-functional impact: Maintain close feedback loops with users and stakeholders to shape application roadmaps based on adoption, performance, and business impact Cross-functional impact: Communicate technical decisions, trade-offs, and implications clearly to senior leadership, connecting architecture and engineering choices to business outcomes Innovation & best practices: Promote adoption of modern software development methodologies and tooling, including agile delivery, DevOps, and continuous delivery frameworks Innovation & best practices: Stay current on emerging trends in application engineering, AI integration, and cloud infrastructure, applying these insights to strengthen engineering practices and drive innovation Qualifications
Required: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree strongly preferred Required: 12+ years of relevant professional experience Required: Proven people-leadership experience, with a track record of building and developing high-performing teams Required: Experience working within regulated industries (e.g., pharmaceuticals, banking, insurance) Required: Demonstrated ability to navigate and influence within large, complex organizations Required: Strong stakeholder-management capabilities, with success driving alignment across diverse functions and seniority levels Required: Recognized industry thought leader with enterprise-wide strategic impact Required: Demonstrated program and operations management expertise, particularly within large, regulated environments Required: Proven success managing quality standards, leading efficient development teams, and optimizing complex staffing and resource allocation models Required: Deep expertise in cross-functional integration and operational effectiveness within a large corporate ecosystem Education
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree strongly preferred Additional Requirements
Last Date to Apply for Job: January 30th, 2026 Ability to travel based on business needs NOT eligible for Relocation Package This position is hybrid and requires working onsite 2 to 3 days per week
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The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) drives the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA collaborates with Pfizer functions to deploy production-grade AI solutions that simplify work and deliver measurable value. Lead the application engineering and productionization function to design, build, and scale enterprise applications and AI/ML solutions, working closely with the Platform Ops team in Digital to deliver effective deployments. Responsibilities
Strategy & architecture: Define the overall strategy and governance model for application engineering and productionization, establishing frameworks, patterns, and standards for how AI and digital products are built, deployed, and maintained Strategy & architecture: Align on architectural decisions on front-end, full-stack, cloud platforms (e.g., AWS, Azure, GCP), and CI/CD pipelines, to ensure scalability, performance, and security Strategy & architecture: Partner with the Heads of Agent Product Management, Full Stack Development, Data Engineering, and Data Strategy to maintain consistent architecture, shared infrastructure, and unified engineering standards across AIA Build & ship (governance level): Oversee the design, development, and rollout of applications and tools used across AIA pods, with a focus on reuse and maintainability Build & ship: Lead front-end and full-stack development teams in implementing secure, scalable interfaces and integrations with enterprise systems and APIs Build & ship: Establish, govern and align to CI/CD pipelines, release management, and environment configuration for applications and maintain alignment with security and quality standards Build & ship: Collaborate with agent and AI/ML engineering teams to move AI/ML models into production with strong deployment, versioning, and monitoring practices Quality & reliability: Define quality standards and performance metrics for applications covering uptime, latency, reliability, and user experience Quality & reliability: Oversee the implementation of automated testing, logging, and observability platforms to ensure operational excellence Quality & reliability: Establish mechanisms for proactive issue detection, incident response, and continuous improvement of application stability and security Team & culture: Build and lead a high-performing engineering organization (~30 FTEs) across front-end, full-stack, DevOps, and architecture disciplines Team & culture: Set strong technical direction, review design and code, and mentor senior engineers and engineering managers to raise the organizational engineering bar Team & culture: Foster a culture of technical excellence, accountability, and continuous learning, emphasizing reusable components, automation, and engineering rigor Cross-functional impact: Partner with Data Engineering, Product, Agent Product Management, and Platform Ops teams to ensure seamless integration of applications with data pipelines, APIs, and orchestration frameworks Cross-functional impact: Work with the Data Strategy & Performance team to align engineering practices with enterprise governance, security, and compliance requirements Cross-functional impact: Maintain close feedback loops with users and stakeholders to shape application roadmaps based on adoption, performance, and business impact Cross-functional impact: Communicate technical decisions, trade-offs, and implications clearly to senior leadership, connecting architecture and engineering choices to business outcomes Innovation & best practices: Promote adoption of modern software development methodologies and tooling, including agile delivery, DevOps, and continuous delivery frameworks Innovation & best practices: Stay current on emerging trends in application engineering, AI integration, and cloud infrastructure, applying these insights to strengthen engineering practices and drive innovation Qualifications
Required: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree strongly preferred Required: 12+ years of relevant professional experience Required: Proven people-leadership experience, with a track record of building and developing high-performing teams Required: Experience working within regulated industries (e.g., pharmaceuticals, banking, insurance) Required: Demonstrated ability to navigate and influence within large, complex organizations Required: Strong stakeholder-management capabilities, with success driving alignment across diverse functions and seniority levels Required: Recognized industry thought leader with enterprise-wide strategic impact Required: Demonstrated program and operations management expertise, particularly within large, regulated environments Required: Proven success managing quality standards, leading efficient development teams, and optimizing complex staffing and resource allocation models Required: Deep expertise in cross-functional integration and operational effectiveness within a large corporate ecosystem Education
Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree strongly preferred Additional Requirements
Last Date to Apply for Job: January 30th, 2026 Ability to travel based on business needs NOT eligible for Relocation Package This position is hybrid and requires working onsite 2 to 3 days per week
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