Allstate

Lead Digital Product Manager

Remote US
USD 125k - 125k
AWS Machine Learning SQL Python Azure
Description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

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 codeYou 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 an 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 able to use every tool at your disposal—software, data, analytics and beyond—to understand and effectively 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 maintaining 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 goals.  

  • Works collaboratively with other team members in pursuit of a common goal and execution of shared strategy 

  • Define best practices. 

 

Responsibilities: 

 

  • Strategic Vision: Develop a clear vision for Generative AI-powered products, aligning with business goals and market trends. 

  • Coaching Digital Product Managers: ability to intentionally identify growth opportunities and develop/mature the product management practice within Digital Product Managers  

  • Product Roadmap Execution: Craft and execute a comprehensive product roadmap, prioritizing features and enhancements. Ensure that portfolio of products are aligned horizontally and meeting product goals.  

  • Problem/success understanding: Collaborate with stakeholders to define what needs to be true to meet intended outcomes, ensuring a deep understanding of user needs. 

  • User Experience Design: Advocate and design for seamless user experiences, from concept to execution. 

 

Qualifications: 

  • Experience:  

  • 8+ years of hands-on experience building ML/AI-powered products 

  • Extensive track record of taking a product from vision to inception to scale 

  • 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 

  • Excellent verbal and written communication skills 

  • 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 

#LI-CJ1

Skills

Agile Methodology, Analytical Thinking, Communication, Customer Experience Management, Digital Products, Product Design, Product Management, Product Roadmap, Product Strategies, User Experience (UX)

Compensation

Compensation offered for this role is $125,200.00 - 207,550.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Good Hands. Greater Together.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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