Principal Product Manager Value Methodology
Listed on 2025-12-02
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, AI Engineer, Data Science Manager
Principal Product Manager Value Methodology
Company Description
It started in sunny San Diego, California in 2004 when visionary engineer Fred Luddy saw the potential to transform how we work. Today, Service Now is a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers—including 85% of the Fortune 500®—and our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
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 Service Now 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 Service Now 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 Service Now Product and AI adoption and impact across functions.
Value Measurement & Monitoring
- Lead the end‑to‑end process for value estimation and realization of Service Now 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 to develop and deploy 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 Service Now Product 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 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 Service Now products can deliver new or enhanced business value.
Qualifications
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving.
- Experience with Service Now Products and understanding how they add value to customers.
- 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 insights.
- Strong business acumen and…
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