Director, Engineering AI Data Center Control Plane

The Director of AI Data Center Control Plane leads the engineering implementation of AI first solutions across Big Data Observability and other data center control plane interfaces. These solutions leverage AI and data science principles to optimize system performance ensure reliability and enable data-driven decision-making within the organization. This strategic role involves overseeing the design implementation and management of robust data platforms integrating AI/ML capabilities and ensuring the ethical and compliant use of data. The Director acts as a visionary leader translating complex data insights into actionable strategies that support key business objectives and foster a culture of continuous improvement and innovation. 

What you get to do in this role:

The Directors responsibilities include partnering with Product Owners to execute the product vision and strategy for observability big data and agentic data center platform solutions. The role also focuses on driving innovation establishing KPIs fostering a data-driven culture and engaging with stakeholders. Additional responsibilities include leading cross-functional teams advocating for new technologies providing technical guidance overseeing AI/ML solution development and working with partners to improve data infrastructure.

• Define and Execute Strategy:
  • Develop and implement a comprehensive data and AI observability strategy aligned with organizational goals and industry best practices.
  • Drive the vision for robust data platforms that support advanced AI/ML models and facilitate data-driven decision-making across the organization.
• Lead Product and Feature Development:
  • Drive the engineering lifecycle for AI-powered observability features and solutions (e.g. model drift detection bias monitoring lineage tracking).
  • Collaborate with engineering and UX teams to build scalable user-centric monitoring and observability solutions for Platform Product and Agentic AI services.
• Establish Observability Best Practices:
  • Implement and enforce best practices for AI/ML observability including metrics logging tracing and model performance tracking.
  • Ensure the adoption of cutting-edge technologies and methodologies to enhance observability capabilities and improve system reliability.
• Manage Data Governance and Quality:
  • Oversee the implementation of strong data governance policies and standards to ensure data quality integrity and compliance with regulations (e.g. GDPR HIPAA CCPA).
  • Implement mechanisms for model monitoring auditing and compliance reporting to ensure the responsible and ethical use of AI models.
• Team Leadership and Development:
  • Lead mentor and inspire a high-performing team of engineers and data scientists.
  • Foster a culture of innovation continuous learning and cross-functional collaboration within the team.
• Stakeholder Collaboration:
  • Engage with internal and external stakeholders to understand business needs and promote AI and data observability solutions.
• Stay Abreast of Industry Trends:
  • Keep up-to-date with the latest trends and advancements in AI machine learning observability tools and data governance.
  • Actively learn from experts and peers in the field through professional organizations conferences and online platforms. 

Qualifications :

To be successful in this role you have:

• 12 years of progressive experience in engineering with 5 years industry experience in DevOps architecture technology consulting experience Leading DevOps Architectural Designs software delivery leadership in an Agile & DevOps practice handling Application Build Configuration Management Deployment & Release Engineering and experience developing and leading enterprise initiatives
• 5 years of experience in data science machine learning and artificial intelligence
• Strong technical expertise in observability tools AIOps platforms data modeling and cloud-based solutions
• Architected solution and deep expertise on Cloud (Azure AWS GCP) setting up CI/CD for PaaS (Cloud Foundry OpenShift) is a big plus
• Strong executive presence and ability to influence at senior levels.
• Demonstrated success in scaling engineering organizations globally.
• Expertise in engineering best practices software architecture quality engineering strategies and automation frameworks.
• Experience driving AI/ML adoption in software development and testing functions.
• Ability to balance strategic thinking with execution focus.
• Experience with automation/configuration and setting up complete end-to-end fully integrated delivery systems
• Excellent stakeholder management communication and change leadership skills.
• Working understanding of code and script (PHP Python Groovy Perl and/or Ruby) particularly used within build pipeline automation.
• Proven track record of delivering high-quality enterprise software products at scale.
• Able to communicate a compelling vision and need for change that generates excitement enthusiasm and commitment to the process

Additional Information :

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

No

Employment Type :

Full-time