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Associate Director Strategic Platforms

Job in Rahway, Union County, New Jersey, 07065, USA
Listing for: Merck
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Cybersecurity, Cloud Computing, Data Security, AI Engineer (Applied/Software)
Job Description & How to Apply Below
** Job Description*
* ** Role Overview*
* This role drives a  
** platform-centric security strategy** , ensuring that enterprise applications and AI-enabled systems are built and operated securely  Associate Director serves as a  
** hands-on leader** , translating strategy into production-grade capabilities that  
** reduce risk, enable innovation, and protect enterprise data and intellectual property
** across modern digital ecosystems.

Key areas of focus include  
** SaaS posture management, PaaS native security, data protection, AI security enablement, and platform-integrated controls** , with an emphasis on  
** prevention-first architectures and automation** .

This position leads a team of engineers and collaborates closely with  
** Cloud, Data, AI, Product Teams, and Enterprise stakeholders** .

** Key Responsibilities*
* + Lead and develop a high-performing team responsible for  
** security across strategic platforms** , including AI systems, SaaS applications, and PaaS/cloud-native environments.

+ Define and execute the  
** security strategy for enterprise platforms** , aligning with business priorities and risk reduction objectives.

+ Establish and scale  
** SaaS security capabilities** , such as SaaS Security Posture Management (SSPM), data governance, and third-party platform risk controls.

+ Lead  
** PaaS and cloud-native security engineering
** for enterprise platforms such as  
** SAP, Databricks, and similar strategic services** .

+ Design, implement, and operate  
** security controls embedded within AI, SaaS, and PaaS platforms** , including identity, data protection, and runtime protections.

+ Drive  
** AI security realization** , including model security management, prompt hardening, secure usage patterns, and governance of AI services (e.g., LLMs, copilots, agents).

+ Integrate  
** data protection
** into platform architectures, ensuring consistent enforcement across AI, SaaS, and PaaS ecosystems.

+ Define and operationalize  
** secure platform patterns** , including reusable guardrails, and builder-friendly security services.

+ Drive  
** automation and engineering-first approaches
** to reduce manual controls and improve scalability of protection across thousands of applications and services.

+ Partner with Legal, Privacy, Risk, and Compliance teams to ensure  
** alignment with regulatory and data governance requirements** .

+ Influence  
** enterprise architecture and security standards** , contributing to long-term strategic roadmaps.

+ Serve as a  
** technical thought leader
** and executive-facing communicator on platform security, AI risk, and cloud security posture.

** Required Experience*
* + Bachelor's degree in computer science, cybersecurity, engineering, or a related field.

+  
** 10+ years of experience
** in SaaS architecture and delivery or cybersecurity, with strong depth in  
** cloud, platform, application, or AI security** .

+ Proven experience leading  
** engineering teams
** and delivering enterprise-scale platform capabilities.

+ Hands-on expertise in  
** SaaS, PaaS/cloud-native, and distributed system architectures** .

+ Experience designing and implementing  
** security controls within modern platforms**  (identity, data protection, API security, workload protection).

+ Strong understanding of  
** AI/ML security risks** , including data leakage, model misuse, prompt injection, and governance controls.

+

Experience with  
** public cloud security (AWS, Azure, GCP)** .

+ Proven ability to lead  
** cross-functional initiatives
** across engineering, security, legal, and business teams.

+ Experience operating in  
** large, complex enterprise environments
** with global scope.

** Preferred Skills*
* + Deep expertise in  
** AI security frameworks and controls** , including LLM security, model governance, and responsible AI practices.

+

Experience with  
** SaaS Security Posture Management (SSPM)
** and CASB/SSE platforms (e.g., Zscaler, Netskope, Microsoft Defender for Cloud Apps).

+

Experience with  
** API security, service mesh, and zero-trust architectures** .

+ Familiarity with  
** policy-as-code and automation frameworks** .

+ Knowledge of  
** OWASP Top 10, API Top 10, and modern threat models for cloud and AI systems** .

+ Strong ability to translate  
** technical risk into business impact
** for executive audiences.

+ Experience managing  
** vendor strategy, product selection, and platform investments** .

+ Financial acumen, including  
** budget ownership and cost optimization for platform security tooling** .

** Education and Certifications*
* + Relevant certifications such as  
** CISSP, CCSP, AWS/Azure Security, or AI/ML security certifications
** are preferred.

*
* Required Skills:

*
* Application Security, Budget Management, Certificate Services, Cloud Security, Coaching and Development, Customer-Focused, Cybersecurity Analytics, Cybersecurity Operations, Information Security, Operational Technology (OT) Security, Persuasion, Zero Trust Identity

** Preferred

Skills:

*
* Current Employees apply HERE ($6687.htmld)

Current…
Position Requirements
10+ Years work experience
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