Lead Digital Product Manager

$121,600 - $206,650/Yr

Allstate

Full-time - Senior

Insurance Carriers and Related Activities

About the position

The Lead Digital Product Manager at Allstate Technology Solutions is responsible for translating strategic vision into actionable products, particularly focusing on Generative AI-powered solutions. This role involves leading a team of Digital Product Managers, driving product development from conception to execution, and ensuring alignment with business goals and user needs. The position emphasizes collaboration, innovation, and continuous improvement within a dynamic team environment.

Responsibilities

• Develop a clear vision for Generative AI-powered products, aligning with business goals and market trends.
• Identify growth opportunities and develop the product management practice within Digital Product Managers.
• Craft and execute a comprehensive product roadmap, prioritizing features and enhancements.
• Collaborate with stakeholders to define what needs to be true to meet intended outcomes, ensuring a deep understanding of user needs.
• Advocate and design for seamless user experiences, from concept to execution.

Requirements

• 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, with hands-on experience.
• Experience integrating Generative AI into products, with a focus on executing and scaling products with Generative AI.
• 3+ years working on data-heavy products.
• 3+ years management experience developing product management skillsets.
• Proven experience optimizing AI at scale.
• Proficiency in Agile methodologies (e.g., iterations, point systems, refinements).
• Comfort operating in an agile environment with ambiguity.
• Extensive experience storytelling product strategy.
• Excellent verbal and written communication skills.
• Ability to navigate complex data landscapes, leveraging insights to inform product decisions.
• Ability to independently analyze and query data to find insights and understand patterns, with working knowledge of SQL and some coding skills (Python) being a plus.
• Deep expertise with machine learning principles.

Nice-to-haves

• Experience with user experience design and advocacy.
• Familiarity with various modeling techniques or tools for problem-solving.

Benefits

• Flexible work environment that embraces connection and belonging.
• Opportunities for professional growth and development.
• Inclusivity and diversity awards recognition.