Principal Data/AI Enterprise Architect

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
About Digital Technology:
We're not yesterday's IT department, we're Digital Technology. The world around us keeps changing and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth.
We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them.
Job Overview
The Principal Data & AI Enterprise Architect is a senior leadership role responsible for defining, designing, and driving the data and artificial intelligence (AI) architecture across the enterprise. This role ensures the strategic alignment of data, AI, and machine learning (ML) initiatives with business goals, focusing on scalability, security, and innovation. This role requires a visionary leader who can bridge the gap between business needs and technical capabilities. The Principal Architect will collaborate with cross-functional teams to integrate AI-driven solutions that enhance decision-making, operational efficiency, and customer experience.
Key Responsibilities

• Enterprise Data & AI Strategy:
  • Develop and lead the enterprise-wide data and AI architecture strategy, ensuring alignment with business objectives.
  • Identify opportunities to leverage AI and machine learning technologies to optimize business processes and outcomes.
  • Drive the adoption of emerging technologies in AI, machine learning, and data analytics to keep the organization ahead of technological trends.

• Architectural Design & Oversight:
  • Design and implement data and AI frameworks, ensuring scalability, security, and efficiency.
  • Provide architectural oversight for AI/ML projects, including platform selection, model development, deployment, and integration.
  • Ensure best practices in data governance, AI ethics, privacy, and compliance are maintained.

• Collaboration & Leadership:
  • Collaborate with business leaders, data scientists, data engineers, and software development teams to define and deliver AI-driven solutions.
  • Guide teams in adopting new AI technologies, platforms, and methodologies.
  • Present complex AI strategies and roadmaps to executive leadership, articulating the value and potential impact on the business.

• Innovation & Research:
  • Stay up to date with the latest advancements in AI, machine learning, and data analytics technologies.
  • Lead R&D initiatives to evaluate new tools, platforms, and techniques that can enhance the organization's data and AI capabilities.
  • Drive innovation in the application of AI for predictive analytics, automation, and operational intelligence.

• Governance & Compliance:
  • Establish and enforce AI governance policies to ensure ethical AI use, transparency, and accountability.
  • Ensure all data and AI architectures comply with regulatory and security requirements, including GDPR, CCPA, and other data privacy laws.

• Performance Monitoring & Optimization:
• • Define key performance metrics (KPIs) for AI systems and solutions.
  • Monitor AI models for performance, accuracy, and fairness, making recommendations for improvement.
  • Ensure the AI models are explainable, reproducible, and maintainable.

Qualifications
Required Qualifications

• Education:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Master's or Ph.D. in AI, Machine Learning, Data Science, or related fields is preferred.
• Experience:
  • 10+ years of experience in enterprise architecture, data architecture, or AI/ML architecture roles.
  • Proven experience in leading large-scale AI and machine learning initiatives in a complex enterprise environment.
  • Extensive experience with AI platforms, cloud-based data architectures, and machine learning frameworks
• Skills:
  • Strong technical knowledge of AI, machine learning algorithms, and data science techniques.
  • Expertise in data management technologies, including data lakes, data warehouses, ETL processes, and big data platforms.
  • Familiarity with AI/ML model deployment and monitoring tools (MLOps).
  • Excellent communication and leadership skills, with the ability to articulate AI solutions to both technical and non-technical stakeholders.
  • Knowledge of AI governance, ethics, and data privacy regulations

Desired Qualifications

• ServiceNow certifications (e.g., Certified ServiceNow Architect) are highly desirable.
• Knowledge about ServiceNow AI capabilities

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Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $161,000 - 281,800 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located, and is subject to change based on work location. For individuals who will be working in the Bay Area, there is a pay enhancement for positions located in that geographical area; please contact your recruiter for additional information.
Additional Information
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here .
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 law. In 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 [email protected] 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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