The Data Science & Research Analytics Team buildscapabilities around business model exploration, process refinement andautomation, and predictive analytics. The team is comprised of a combination of data scientists, data engineers,data analysts, and actuarial analysts. Culturally, we look for individuals with a strong inclination forlearning and from a variety of backgrounds that challenge each other openly,regardless of level or role on the team. We operate using conceptual thinking,logic and data driven analysis.

The Data Science & Research Analytics Team is seeking anoutstanding Associate Analytics Project Manager reporting to the AVP and Headof Analytics and Data Science. This individual will help deliver innovative,data-driven products and enhancements aimed at transforming the companysoperations and strategic initiatives. They will be expected to focus on meetingthe needs of both external and internal customers, working closely with dataengineers, data scientists, business analysts and other functional managers tosuccessfully drive projects and process execution. In addition, they will takeon broader responsibilities, such as providing input to roadmaps for capacityplanning. The expectation of the AssociateAnalytics Project Manager includes adept at problem solving, effectivelycommunicating, and having structured thinking.


  • Lead small to mid-size scope projects from short to long-term focus of varying duration, size, and complexity
  • Serve as a conduit of knowledge between functional and technical teams, engaging with all levels across the enterprise, connecting needs to capabilities and setting expectations
  • Navigate ambiguity to deliver results
  • Document and organize acceptance criteria for user stories
  • Manage timeline, resources and scope through prioritization throughout the course of all assigned projects
  • Lead project teams during all phases of the development life cycle including requirements gathering and analysis, design, build, pilot, implementation and continuous service
  • Facilitate client and project team interactions
  • Be self-supportive in collaborating with peers to effectively deliver a robust solution for the business
  • Drive lessons learned and knowledge retention for future use
  • Remove blockers/barriers to enable project team to complete objectives no matter how difficult
  • Motivate teams to work together, communicate, and deliver by developing a high performing team, setting positive tone and leading by example
  • Demonstrate proven capability to be disciplined and flexible at the same time
  • Requirements:

  • Bachelors Degree, preferably in Business, Project Management or an analytical field such as Economics, Mathematics, Engineering, Computer Science and 3 plus years of experience
  • 1 plus years of experience managing and driving the execution of cross functional, strategic based project experience
  • Familiarity with SAS, Python, R, Scala, or Java
  • Confident in SQL
  • Skilled in applying judgment to balance process compliance with achievement of business objectives
  • Strong organizational skills and detail oriented
  • Ability to assess a project's scope and the team's ability to execute
  • Outcome oriented with the ability to drill down from the big picture to process details
  • Outstanding communication skills, including handling executive communication
  • Ability to collaborate across diverse teams and organizations
  • Experience leading cross functional product/ project teams to execute and achieve success on complex, high value deliverables
  • Former technical experience is preferred, such as working with data engineering/science/analytics teams or experience developing and/or deploying
  • Excellent interpersonal communication, conflict management, coordination, and planning skills with cross functional teams
  • #LI-CL1

    Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task

    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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