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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing AI-enabled applications and mobile platforms, ensuring service quality through effective incident and problem management. Proficient in stakeholder management and driving continuous improvement through automation and emerging technologies.
Highest-signal resume keywords
AI Engineering ExperienceIncident ManagementVendor ManagementSoftware Development Life Cycle (SDLC)Agile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringApplication SupportDevOpsTroubleshootingRoot Cause AnalysisCI/CDTestingRelease ManagementPythonJavaScript/TypeScript
Soft Skills
Organizational SkillsTime ManagementStakeholder ManagementPartnership BuildingCuriosity
Tools & Technologies
GenAI StacksLLMsAWS InfrastructureApp Store ConnectGoogle Play ConsoleObservability ToolsMonitoring Tools
Certifications & Qualifications
ITIL 4AWS CertificationAI/ML-related Certifications
Industry Keywords
IT Service ManagementIncident ManagementProblem ManagementChange ManagementService Level Agreements (SLAs)Data Privacy (GDPR, HIPAA)Responsible AIAI Governance
Tech Stack
Tools & technologiesAndroidAWSiOSITSMJavaScriptMicroservicesPythonSDLCTypeScript
About the role
Key responsibilities & impact- Lead the Support & Operations service for Pfizer Digital Products with AI features, including web and mobile applications
- Direct contractor resources under a Managed Service model
- Govern service quality against contractual SLAs and KPIs
- Drive lessons learned from ticket reviews
- Own Incident, Problem and Maintenance management
- Ensure timely triage, root cause analysis and end-to-end resolution
- Identify risks proactively to prevent incidents
- Manage App Store and Google Play releases, OS/SDK updates and store policy compliance
- Act as technical authority for AI-enabled applications and mobile platforms
- Provide engineering guidance and intervene hands-on in complex or critical cases
- Build support-team capabilities around evolving Pfizer technology stacks and platforms
- Represent Marketing Support & Operations in new product development to ensure supportability and best practices
- Orchestrate knowledge transfer for new releases using modern AI tools
- Partner with Business, Product, Delivery and Platform Owners on roadmaps, priorities and collaboration frameworks
- Communicate plans, progress and outcomes through reporting
- Drive automation, AI-enabled efficiency and continuous improvement
- Identify use cases, lead proofs of concept and build internal tools
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Software Engineering or a related field
- 7+ years of experience in software engineering, application support/operations or DevOps in a corporate setting
- At least 2 years leading teams or managing external vendors
- Experience in AI Engineering across architecture, solution engineering, development or operations
- Working experience with GenAI stacks, including LLMs, vector stores, agents, orchestration and guardrails
- Strong knowledge of SDLC, Agile, source control, CI/CD, code reviews, testing and release management
- Solid knowledge of IT Service Management processes, including Incident, Problem, Change, Release and Service Level Management
- Experience managing vendor resources against contractual SLAs and KPIs
- Experience in stakeholder management, partnership building and establishing trust
- Strong troubleshooting and root cause analysis skills
- Excellent organizational and time management skills
- Curiosity and willingness to learn emerging technologies
- Excellent written and spoken English
- Preferred: Mobile Native or Hybrid development and iOS/Android SDKs
- Preferred: App Store Connect and Google Play Console release processes, store review guidelines and policy compliance
- Preferred: Python, JavaScript/TypeScript, APIs and microservices
- Preferred: AWS infrastructure and services
- Preferred: Observability and monitoring tools
- Preferred: IT Security, Risk Assessment and Management, Responsible AI and AI governance
- Preferred: Regulated-industry experience and data privacy requirements such as GDPR and HIPAA
- Preferred: ITIL 4, AWS or AI/ML-related certifications
Benefits
Comp & perks- Health care coverage
- Retirement savings plans
- Insurance benefits
- Employee Assistance Program
- Wellness benefits
- Flexible workplace culture supporting work-life harmony
- Reasonable adjustments for candidates with disabilities
