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Senior Manager - Operational Excellence

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ServiceNow

2024-10-02 07:39:00

Job location San Diego, California, United States

Job type: fulltime

Job industry: Other

Job description

Job Description

As a key member of our fast-paced team, you will play a pivotal role in showcasing the impact of Now on Now across the company. You will be responsible for developing and maintaining advanced metrics, reporting, and dashboards for Now on Now. Your role will involve proactively identifying new insights and innovative data analysis approaches to stay aligned with rapidly changing business trends. Excelling in prioritizing tasks and optimizing time management will be essential to navigating this dynamic environment.

What you get to do in this role:

Reporting and Data Analytics: Ownership of all Now on Now metrics, ensuring accuracy in format, fact-checking, and presentation of executive-level reporting on customer engagement metrics, including monthly, quarterly, annual, and ad-hoc reports. Extract data sets, perform analyses, build data models, and support various initiatives such as pipeline, coverage, and product whitespace.

Data Storytelling: Transform complex data and metrics into compelling narratives that clearly communicate the underlying insights and implications, going beyond raw numbers to reveal actionable trends and strategic recommendations.

Metrics and Dashboards: Enhance and scale current dashboards to improve their intelligence and effectiveness. Work with various teams across the company to integrate Now on Now with existing dashboards, providing actionable insights and advanced forecasting capabilities.

Predictive Analytical Insights: Generate scalable and actionable insights by utilizing AI-driven predictive analytics. Continuously explore new insights and innovative data analysis methods to stay aligned with rapidly evolving business trends.

Stakeholder Collaboration: Partner with stakeholders to ensure metrics and data are accurate, timely, and consistent, while effectively managing documentation ownership. Be available to work with teams across different time zones as required.

Process Improvement: Conduct in-depth analysis of existing processes to identify inefficiencies and areas for improvement. Collaborate with cross-functional teams to consolidate data sources and address data quality issues.

Transformation Efforts: Support ongoing transformation initiatives by adapting to rapidly changing priorities, driving system and process improvements, and enhancing the efficiency and effectiveness of the analytics function.

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