Nvidia Senior Customer Success Operations Manager BI Insights 

United States, California 

532059057

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.