Senior Security Engineer I

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

As a Cybersecurity Engineer you'll have the opportunity to work with industry leading technologies at scale to protect our products from an always evolving threat landscape. This hands-on position will be responsible for our end-to-end endpoint security controls and collaborate with other cross-functional teams to ensure central cybersecurity solutions are effective and in alignment with Nielsen’s strategic goals.

RESPONSIBILITIES

• Design, build, configure, and maintain internal cybersecurity controls related to AI technologies and processes.
• Provide cybersecurity guidance on the strategy and implementation of AI, with a focus on protecting sensitive data across all systems, including structured databases and unstructured data lakes.
• Develop scripts and automation for complex security workflows and integrations, leveraging languages like Python and tools like Ansible to enhance efficiency.
• Optimize AI, network, and system security tools by tuning policies for efficiency and accuracy to prevent false positives and enhance threat detection.
• Contribute to automation efforts to facilitate the secure deployment and configuration of cybersecurity technology both on-prem and in the cloud.
• Develop architecture diagrams and documentation for Nielsen’s security controls and processes, with a focus on comprehensive solutions that span on-premise, cloud, and AI/ML environments.
• Implement and manage network and system security measures, including firewalls, intrusion detection/prevention systems (IDS/IPS), web application firewalls (WAF), and Network Access Control (NAC) to protect enterprise infrastructure.
• Secure the AI/ML lifecycle, including protecting model training data, implementing controls to prevent adversarial attacks, and ensuring the integrity of generative AI applications.
• Troubleshoot escalated, high-impact cybersecurity problems across system and network layers.
• Remain current on cybersecurity technology, vulnerabilities, attacks, and countermeasures, with a special focus on emerging threats to AI and machine learning models.

• Expertise in AI security methodologies and their implementation in complex environments.
• Proven scripting and automation experience (Python, Shell, Bash, Ansible, etc.).
• Strong knowledge of cloud computing security standards and controls (AWS, GCP, Azure).
• Deep experience with network and system security technologies such as firewalls (e.g., Palo Alto, Cisco), IDS/IPS, WAFs, and Network Access Control (NAC).
• Experience in securing the AI/ML lifecycle, including data privacy, model integrity, and knowledge of frameworks like the OWASP Top 10 for LLMs.
• Experience leading projects from start to finish.
• Ability to work both independently and as part of a team with minimal supervision.
• Ability to communicate complex technical details in a clear, understandable manner to both technical and non-technical audiences.
• Experience providing and validating security requirements related to information system design, implementation, and business processes.
• Knowledge of common information security standards, such as ISO, CIS, and NIST.
• Relevant security certifications such as SANS/GIAC, CCIE Security, CAISP or OSCP.
• B.S. in Computer Science, Cybersecurity with 5+ Years of experience or
• M.S. in Computer Science, Cybersecurity with 3+ Years of experience or
• No degree 7-10+ Years of experience

 

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