Senior Customer Success Operations Manager
Company | NVIDIA |
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Location | Oregon, USA, Santa Clara, CA, USA |
Salary | $160000 – $270250 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, MBA |
Experience Level | Senior, Expert or higher |
Requirements
- 12+ years of experience in customer insights, business analytics, customer success operations, or a similar role.
- Proven experience bringing to bear insights to influence customer strategy and business decisions.
- Proficient in SaaS metrics and customer success indicators.
- Proficiency in data analysis and visualization tools such as Tableau, Power BI, or Looker.
- Strong SQL and/or data wrangling skills a plus.
- Experience guiding cross-functional initiatives and influencing collaborators at all levels.
- Ability to present complex data clearly and persuasively to both technical and non-technical audiences.
- Passion for improving the customer experience through data-driven strategies.
- Bachelor’s degree in Business, Analytics, or a related field (Master’s degree preferred) or equivalent experience.
Responsibilities
- Lead the design and implementation of a scalable customer insights strategy aligned with business goals.
- Analyze customer and/or partner behavior to identify patterns, risks, and opportunities for growth, adoption, and value realization.
- Define and evolve key success metrics (e.g., product adoption, churn risk, value delivery, NRR, and engagement).
- Build and update dashboards and reports tailored to specific roles to monitor critical metrics and measure progress towards strategic goals.
- Work with internal customers to translate business questions into analytical frameworks and actionable insights.
- Lead with vision for data-driven decision-making across Customer Success and adjacent functions.
- Champion data quality and governance efforts related to customer and partner success metrics.
- Encourage alignment on customer insights needs with different partners like field teams, operations, product, and executive leadership.
Preferred Qualifications
- MBA or equivalent experience.
- Data Science experience and background.
- A drive to learning innovative technologies and building repeatable and scalable customer engagement motions.
- Understanding of data science workflows, machine learning, and AI trends.