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Manager 2 Data and Analytics

Company: Intuit
Location: Mountain View
Posted on: January 15, 2021

Job Description:

OverviewThe Customer Success (CS) Data and Platform Analytics team has an exciting opportunity to improve customer experiences using data. We are seeking an exceptional Sr. Manager of Data to lead team and drive programs to enable world-class data and analytics capabilities to deliver better customer benefits and outcomes. This role will lead a high-performing team of Technical Data Analysts driving Customer Success data initiatives in order to enable the business to act quickly on data insights to inform better customer experiences and drive innovation.You will draw upon solid analytical, critical thinking, and problem-solving skills to effectively manage your resources, successfully driving a portfolio of vital programs. You will quickly establish rapport, credibility, trust and respect throughout the organization at all levels, and be viewed as a team player. This leader partners closely with data engineering, product management, product development, operations, and data analytics leaders across Intuit. This is an exciting time to join Customer Success at Intuit as we are building a service platform to help our customers beyond core product use. This is your opportunity to join this exciting and transformational journey.What you'll bring

  • Proven leader in data space with 8+ years of experience leading conversations across teams to drive for business requirements clarity, build and launch products
  • Strong people management skills leading teams for at least 5 years and growing data talent
  • Understand large-scale data platform capabilities and possess enough technical depth in the areas across these data capabilities (analytics and engineering) to assess risk and find solutions; including being well versed in all stages of the software development lifecycle
  • Demonstrated ability to think end-to-end, lead long-term programs, and to manage multiple programs simultaneously within a program portfolio
  • Demonstrates highly effective cross functional leadership and experience working in a large matrixed organization, aligning cross functional stakeholders, gathering business requirements, and launching product features
  • Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • High level of professionalism, passion and a sense of urgency to make things happen
  • Well-established personal processes to balance requests from multifaceted stakeholders, in a way that maintains clear priority, pivots when needed, and communicates effectively.
  • Strong strategic-mindset, but also willing to roll up your sleeves and get into the details, coaching team members where needed
  • Experience working closely with data engineers, data science, and product teams to launch data products
    • Self-starter who seeks the problem, doesn't wait for the problem to find him or her with excellent problem-solving skills and end-to-end quantitative thinking
    • Strong organization, time management and task prioritization skills
      • Experience working with BI tools such as Qlik, Tableau, PowerBI etc.
      • Technical undergraduate degree required (Engineering, Computer Science, Statistics, Analytics etc.); advanced degree preferred
      • Some travel required (-10%).
      • Bachelor's Degree in Analytics, Statistics, Data Science, Computer Science, or related field; Master's Degree preferredHow you will lead
        • Partner with platform teams, data engineering, and data science teams to develop the tools and processes needed to build AI-driven platforms
          • Partner with the extended data and PMO leadership teams to establish consistent best practices for program delivery across business units (Small Business and Self Employed group, Consumer Group, etc.)
          • Create execution plans with tangible processes and frameworks to drive rigor and structure, and help teams adopt and repeat with high standards
          • Drive collaboration with internal and external customers and partners (e.g. engineering, product/design, data analytics, data science, and vendors) to firm up data requirements and prioritize deliverables
          • Collaborate with stakeholders and analysts to ensure data solutions are scalable, repeatable, effective, and meet expectations of various stakeholders
          • Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn t exist
            • Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
            • Pursue data quality, troubleshoot data validation, and see issues to resolution
              • Continuously improve the operating framework that enables the data organization to achieve its goals
              • Mitigate risk and solve problems through innovative ideas and solutions
              • Be a leader/teacher who role models leadership and domain expertise

Keywords: Intuit, Mountain View , Manager 2 Data and Analytics, Executive , Mountain View, California

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