Job responsibilities
- Develops a product strategy and product vision that delivers value to customers.
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition.
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
- Analyze contact volumes and customer journey/friction points across various channels to drive product feature prioritization.
- Lead agile product teams that include product managers, data scientists, machine learning engineers, and data analytics members.
- Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance.
- Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities.
- Prioritize strategies and solutions to enhance self-service utilization and reduce customer contact volume.
- Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment.
- Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes.
- Applied experience in a variety of AI and machine learning techniques and technologies.
- Strong technical acumen: ability to independently manage large and complex relationships with internal technology partners.
- Ability to harness data and the power of analytics and customer insights for comprehensive strategy planning.
- Excellent communicator with the ability to fluidly interact with senior leaders, key stakeholders, employees, and third-party vendors.
- Strong problem-solving skills and the ability to think creatively and strategically.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Experience working in or with customer service operations.
- Advanced degree in Computer Science, Engineering, Data Science, or a related field
- Experience with cloud-based AI/ML platforms and tools