Principal Product Manager Value Methodology

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 Analyst 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 ServiceNow Products and 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 while also acting as a product owner for analytics experiences that drive adoption, speed, and measurable business impact.

What You’ll Do:

Develop and Maintain Value Methodology Framework

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

Value Measurement & Monitoring

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

Stakeholder Engagement & Education

• Serve as an advisor to sales teams on how to articulate and quantify the value of ServiceNow Products use cases.
• Translate complex value models into compelling narratives and actionable insights for executive leadership.

Analytics Product Ownership

• Act as a product manager for dashboards and analytics solutions, defining requirements, wireframes, and user journeys that translate complex data into intuitive and actionable insights.
• Help define the roadmap and vision for how various analytics elements—data, AI insights, and value frameworks—come together to drive decision effectiveness and speed for end users.
• Collaborate with design, data engineering, and business partners to continuously refine analytics products for usability, scalability, and impact.

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 value use case assessments align with broader enterprise objectives, digital transformation goals, and innovation priorities.
• Identify gaps and opportunities where ServiceNow products 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.
• Experience with ServiceNow Products and how they add value to customers
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 8+ 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