Allstate

Lead Digital Product Manager

Allstate

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $76,200 - $134,550 per year

Job Level

Senior

Tech Stack

AWSAzurePythonSDLCSQL

About the role

  • Allstate Technology Solutions is dedicated to creating a new type of insurance platform. By leveraging cutting edge technologies, innovative product design and true integration of artificial intelligence functions with emphasis on Generative AI, we will revolutionize what is means to be a protection provider.
  • Our goal is to create a truly transformational customer experience, while also enabling significant opportunities for operational efficiencies and contextual personalization.
  • Become a part of our story. At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what is possible.
  • The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.
  • As a talented Lead Digital Product Manager , you love to translate strategic vision into something tangible whether that be a story, a design or even code . You love developing your team of Digital Product Managers to be the best, identifying opportunities to mature skillsets and grow the product management practice at Allstate.
  • We need you to get your hands dirty with raw data and derive meaningful and actionable insights that you can use to influence direction of product team and those that surround it . You ’re a n innovative thinker, an effective leader, an expert communicator, and an agile problem solver looking to join an exciting team.
  • As an ideal candidate, you can learn and adapt quickly and are a ble to use every tool at your disposal—software, data , analytics and beyond—to understand and effect iv ely tackle hard problems. You appreciate the importance working through problem statements and defining success before the team writes code . You can hop into architecture, UX, and business discussions and ensure that the team is always driving towards collective success . You’re also an individual who…. Embraces a continuously evolving breadth of projects and goals. Dedicates time and interest to learning, coaching , and continuously improving. Desires to contribute concretely to design sessions, analytical discussions, and retrospectives. Innovates and problem- solves by using new modeling techniques or tools. Takes initiative and works efficiently while mai ntaining a focus on the bigger picture . Effectively communicates learnings and findings with others in the team, leadership and department. Partners closely with technical and non-technical staff to define product goal s. Works collaboratively with other team members in pursuit of a common goa l and execution of shared strategy D efine best practices .

Requirements

  • Experience: 6+ years of hands-on experience building ML /AI -powered products
  • 3+ years working in Google AI, Azure Cognitive Services, AWS Machine Learning, hands-on experience
  • Experience integrating Generative AI into a products, experience executing and scaling products with Generative AI is a plus
  • 3+ years working on data heavy products
  • 3+ years management experience developing product management skillsets
  • Proven experience optimizing AI at scale
  • Agile Processes: Proficiency in Agile methodologies (e.g., iterations, point systems, refinements).
  • Adaptability: Comfort operating in an agile environment with ambiguity.
  • Communication: Extensive experience story telling product strategy
  • Data Literacy: Navigate complex data landscapes, leveraging insights to inform product decisions
  • Analytical skills: Ability to independently analyze and query data to find insights and understand patterns.
  • Working knowledge of SQL and some coding skills (Python) would be a plus.
  • Machine Learning Concepts: Deep expertise with machine learning principles, enabling effective communication with data scientists and machine learning engineers
  • Skills Agile Methodology, Analytics, Artificial Intelligence (AI), Business Requirements, Digital Products, Metrics Development, Product Management, Software Development Life Cycle (SDLC), User Experience (UX)