Sr. Dir – Product Analytics
| Company | ServiceNow |
|---|---|
| Location | Addison, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- 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.
- 15+ years of professional experience, with extensive experience in the B2C and/or B2B product domain in an analytics or insights leadership capacity.
- Extensive Hands-on experience developing product telemetry strategy and application to insights generation, AI/ML model development.
- 8+ years of people management experience, leading or influencing technical teams, preferably with a global remit.
- Ability to communicate with and influence senior business executives and to translate between technical and non-technical teams.
- BA/BS, with preferred concentration in business or a quantitative field; Masters degree preferred but not required.
- Demonstrated experience working cross-functionally with business and technical teams.
- Passion for and experience in applying AI to business problems in the SaaS product domain.
- Ability to manage multiple priorities in a fast-paced environment, work collaboratively with cross-functional teams, and ensure high quality deliverables with high attention.
Responsibilities
- Lead and scale teams & programs responsible for telemetry governance and data quality across the ServiceNow product & platform portfolio
- Define and enforce enterprise-wide standards for event tracking, metadata management, and compliance
- Own the ‘single pane of glass’ for usage metrics and benchmarks across products and customer use cases/ segments
- Deliver insights, scorecards & reporting and analytics for Product Management, UX/UI, Engineering and Post-Sales teams
- Own product usage feature engineering for ML models and recommendation systems
- Deliver proactive and predictive insights to improve product adoption, growth and renewals
- Partner with business stakeholders and other analytics teams to evolve product usage metrics, connect to business outcomes (adoption, value, renewals, upsell, cross-sell), define and measure action plans
- Manage a team of Product Managers, Data Engineers, BI Developers and Data Scientists
Preferred Qualifications
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No preferred qualifications provided.