AI Value Methodology Lead

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Offer summary

Qualifications:

10+ years of experience in data science, analytics, or AI strategy roles in large-scale enterprise environments., Strong understanding of AI/ML capabilities and their business applications across functions., Proven track record of building and implementing business value frameworks for technology initiatives., Bachelor's degree in a quantitative or business discipline such as Data Science, Economics, or Business Analytics..

Key responsibilities:

  • Develop and maintain a standardized methodology to assess the business value of AI use cases.
  • Lead the end-to-end process for value estimation and realization of AI initiatives.
  • Serve as a strategic advisor to teams on evaluating and quantifying the value of AI use cases.
  • Establish governance protocols for consistent AI value tracking across departments.

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ServiceNow Information Technology & Services Large http://www.servicenow.com
10001 Employees
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Job description

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

We are seeking a seasoned and forward-thinking AI Value Methodology Lead to join our Data & Analytics organization. In this senior individual contributor role, you will play a critical part in shaping how we understand, measure, and communicate the tangible value generated by artificial intelligence initiatives across the enterprise. Bringing over a decade of experience in data, analytics, and AI, the successful candidate will develop and maintain a comprehensive value methodology framework that enables business leaders, technical teams, and executive stakeholders to make data-driven decisions about AI investments.

Key Responsibilities

Develop and Maintain Value Methodology Framework

  • Design a standardized, scalable methodology to assess the business value of AI use cases, including productivity gains, efficiency improvements, cost reductions, and revenue enhancements.
  • Define key performance indicators (KPIs), success criteria, and benchmarking metrics for AI adoption and impact across functions.

Value Measurement & Monitoring

  • Lead the end-to-end process for value estimation and realization of AI initiatives—spanning the full lifecycle from pilot phases through full deployment.
  • Maintain dashboards, scorecards, and reporting tools to monitor AI usage trends and value outcomes across the enterprise.
  • Partner across all business functions developing and deploying AI models/use cases for comprehensive value attribution and ROI calculations.

Stakeholder Engagement & Education

  • Serve as a strategic advisor to technical and business teams on how to evaluate, articulate, and quantify the value of AI use cases.
  • Translate complex value models into compelling narratives and actionable insights for executive leadership.

Governance & Best Practices

  • Establish governance protocols to ensure consistency and transparency in AI value tracking across departments.
  • Maintain a centralized repository of AI use cases, their business impact, and lessons learned to guide future AI investments.

Strategic Alignment

  • Ensure AI use case assessments align with broader enterprise objectives, digital transformation goals, and innovation priorities.
  • Identify gaps and opportunities where AI can deliver new or enhanced business value.

 

Qualifications

To be successful in this role you have:

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • 10+ years of experience in data science, analytics, or AI strategy roles, ideally in large-scale enterprise environments.
  • Proven track record of building and implementing business value frameworks or financial impact models for technology initiatives.
  • Strong understanding of AI/ML capabilities, lifecycle, and business applications across functions.

Skills

  • Exceptional analytical and quantitative skills with the ability to synthesize complex data into meaningful insights.
  • Strong business acumen and understanding of corporate value drivers.
  • Excellent communication and storytelling skills for executive-level presentations.
  • Experience with tools such as Power BI, Tableau, Excel, and data modeling platforms.
  • Bachelor's degree in a quantitative or business discipline (e.g., Data Science, Economics, Engineering, Business Analytics)

Preferred Qualifications

  • Experience in change management or digital transformation initiatives.
  • Familiarity with enterprise AI platforms and AI governance frameworks.

For positions in this location, we offer a base pay of $197,800 - $346,200, 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.

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 and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

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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Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
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Other Skills

  • Microsoft Excel
  • Business Acumen
  • Communication
  • Analytical Skills

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