Staff Product Manager-Data Scientist

growth. We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

Ultimately, we strive to make the world work better for our employees and customers-when you work in ServiceNow Digital Technology, you work for them.

What you get to do in this role:

• This role combines the responsibilities of a Product Manager, Data Scientist, and Analyst.
• As a Product Manager:
  • Identify the need for new AI-based metric models or enhancements to existing models and take ownership of the end-to-end product management process, while having strong understanding of the technical capabilities.
  • Partner very closely with machine learning engineers, data engineers, BI engineers, business to own the end-to-end lifecycle of AI model development to inclusion in core reporting data models and dashboard front-end / visual engineering work.
  • Develop user-centric dashboard prototypes (PowerBI) of very high visual standards; dashboards must reflect mathematical AI models in a very consumable, explainable and actionable way for business teams thereby driving focus and impact. Having Figma expertise is a plus.
  • Design reporting solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design.
  • Drive the adoption of products amongst the user community, increase product satisfaction and drive ACV the impact from Analytics products.
• As a data scientist and analyst:

  • Bring the promise of data science and machine learning to reality within analytics for HR and SN University, increasing decision effectiveness and speed.

  • Hands-on data expert: Develop deep domain expertise in People and ServiceNow University, mastering datasets and metrics. Analyze data using tools of your choice (Excel, R, or Python) and build simple machine learning models like linear regression or classification to deliver simple solutions as needed.

Qualifications

To be successful in this role you have:

• Core Skills
  • Proven track record of using data to drive business decisions including the ability to structure problems for analysis, analyze the data, and provide actionable recommendations through effective and compelling storytelling
  • Experience with Power BI (or similar analytical packages) is a must
  • Experience with product development and managing agile scrum teams
  • Strong SQL skills are desired
  • Experience with Python, R, Azure ML (or similar) is a must
• Approach
  • Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
  • Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail.
  • Demonstrated ability to work collaboratively and effectively across different functions
• Domain Expertise

  • 8+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processes

  • Bachelor's Degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Engineering, or a related field). Master's Degree is a plus.

  • Should have worked on multiple end-to-end AI/ML solutions (metrics curation to reporting activation) in Analytics product management or data science

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For positions in the Bay Area, we offer a base pay of $165,800 - $290,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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