DescriptionRole Overview
As the owner of the end-to-end lifecycle of analytics and AI-powered products you will guide them from market research and product vision through roadmap planning development launch and iteration. Positioned at the crossroads of AI engineering data science design and business strategy you will translate complex technologies into user-focused solutions that deliver tangible results. You will align use cases to business strategy and work with Chubbs leadership team to ensure delivery aligned to business outcomes.
Key Responsibilities
- Product Strategy & Roadmapping
Develop the vision and roadmap for analytics and AI-driven initiatives. Conduct market research to identify opportunities and align features with business and market needs. - Cross-Functional Collaboration
Partner with engineering ML/data science underwriting marketing sales and legal stakeholders to shape product requirements from concept to release. - Governance
Aligning use cases to business strategy and clear business outcomes. Presenting and running business focussed prioritization and governance of incoming demand working with Chubbs executive leadership team. - Backlog & Execution Management
Translate business objectives into actionable product backlog items. Prioritize tasks based on impact feasibility and user value. Manage agile delivery through sprints MVPs and beta launches. - Market & User Research
Perform ongoing market and competitive analysis customer interviews and user testing. Leverage insights to refine product direction. - Performance Monitoring & Analytics
Establish and track KPIs (e.g. adoption retention accuracy). Use data-driven insights to optimize and iterate on AI functionality. - Ethics & Risk Management
Ensure adherence to responsible AI practices by addressing bias privacy fairness and regulatory concerns. Implement safeguards during model development and deployment. - Go-to-Market & Stakeholder Enablement
Support launch planning marketing strategies sales materials training and product evangelism. Keep stakeholders (executives partners) informed of progress and impact.
Required Skills & Experience
- Technical Knowledge
- Understanding of data science AI/ML fundamentals including algorithms model training and evaluation NLP/CV and model validation.
- Product & Domain Expertise
- 57 years of experience in Product Management ideally with AI/ML or data-driven products. Proven success in launching AI solutions.
- Proficiency in agile methodologies (Scrum/Kanban) and backlog management.
- Analytical & Strategic Abilities
- Skilled in analyzing data extracting insights and managing ML development to drive decisions based on metrics and user feedback.
- Strong business acumen to position analytics and AI as a strategic solution to real-world problems avoiding AI for AIs sake.
- Soft Skills
- Exceptional communication skills to bridge technical and non-technical stakeholders and craft clear PRDs/user stories.
- Empathy and leadership to effectively manage diverse cross-functional teams with clarity and alignment.
- Adaptability and creativity to navigate the rapidly evolving analytics and AI landscape.
QualificationsRequired Skills & Experience
- Technical Knowledge
- Understanding of data science AI/ML fundamentals including algorithms model training and evaluation NLP/CV and model validation.
- Product & Domain Expertise
- 57 years of experience in Product Management ideally with AI/ML or data-driven products. Proven success in launching AI solutions.
- Proficiency in agile methodologies (Scrum/Kanban) and backlog management.
- Analytical & Strategic Abilities
- Skilled in analyzing data extracting insights and managing ML development to drive decisions based on metrics and user feedback.
- Strong business acumen to position analytics and AI as a strategic solution to real-world problems avoiding AI for AIs sake.
- Soft Skills
- Exceptional communication skills to bridge technical and non-technical stakeholders and craft clear PRDs/user stories.
- Empathy and leadership to effectively manage diverse cross-functional teams with clarity and alignment.
- Adaptability and creativity to navigate the rapidly evolving analytics and AI landscape.