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Product Manager - FP&A/Finance Analytics

Company: Data Robot
Location: San Francisco
Posted on: June 12, 2021

Job Description:

About DataRobot

DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today's Intelligence Revolution. DataRobot's enterprise AI platformdemocratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company's proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization - regardless of size, industry, or resources - to drive better business outcomes with AI.

You will be responsible for: 

  • Work with business leaders to implement best practices for measuring the business processes and define critical KPIs and metrics, to manage performance and create operational rigor
  • Build standard SaaS metrics, conduct rigorous exploratory data analysis, create executive facing dashboards which drive decision making and actions.
  • Communicate insights through reports, dashboards and advanced analytics and build narratives and strategic recommendations to support key decision-making
  • Create a framework to measure the success of Strategic Initiatives for sale and customer success teams.
  • Influence process teams to address process gaps that result in data issues and drive process improvements.
  • Work with data engineering/data science team to establish data sources that serve teams' business needs, identifying and advocating for process improvements and industry best practices (e.g. standard metric definitions)
  • Synthesizing large volumes of data with attention to granular details and build certified data sources and addressing data quality issues as well as process gaps.
  • Support multiple projects at the same time in a fast-paced, results-oriented environment.
  • Drive accountability by ensuring high quality operational monitoring, analysis and continuous improvement of enforcement and KPIs
  • Drive automation of repetitive processes and build self-serve tools (eg: Tableau Dashboards) to empower product and business stakeholders.


  • 8+ years of experience
  • 2+ years of experience leading teams, possibly analytics teams bringing data to decision making
  • Understanding of GTM and post sales business process at a SaaS business.
  • Experience in building SaaS metrics like Renewals, Churn, Customer Health Scores, Retention Rates, ARR is a plus.
  • Strong understanding of B2B SaaS metrics and business processes.
  • Analytical and problem-solving experience, exposure to large-scale data warehouses
  • Deep understanding of complex data models, BI methodologies, Data Architecture principles, Master data and metadata
  • Understanding of operational processes, systems and data in multiple areas of Sales & operations; Forecasting, Pipeline management, Account management, Sales performance etc.
  • Entrepreneurial self-starter. Thrive in a fast paced environment and independently capable of seeking information, corralling resources, and delivering results without waiting for direction
  • Thrive on combining rigorous data-driven analysis, strong business and product judgment, and an ability to work well across teams
  • Strong attention to details and organizational skills
  • Comfortable handling sometimes ambiguously-defined problems, developing creative solutions and delivering against aggressive timelines
  • Validated ability to be effective in virtual team leadership, and leading through influence. Outstanding collaborator.
  • Consistent track record of initiating and leading cross-functional and cross-organizational projects, building relationships with partners, and influencing decision makers.
  • Strong verbal and written communications skills.
  • Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
  • Fluent in SQL, Excel, and visualization tools such as Tableau, Looker or Qlikview; experience with a statistical programming language like R or Python preferred
  • Prior work experience in a business analytics space would be highly valued. (Good understanding of A/B testing principles is preferred)



Keywords: Data Robot, San Francisco , Product Manager - FP&A/Finance Analytics, Other , San Francisco, California

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