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.
- Develop and execute a comprehensive strategy for the creation, deployment, and continuous improvement of reusable data products that support AI and advanced analytics.
- Collaborate with multiple stakeholders across various lines of business to build a consistent view of data product development, use-case alignment, and adoption across the Bank.
- Define and deconstruct complex business problems to identify data product solutions, critically assess existing products, and influence the product development roadmap.
- Establish and track key performance indicators (KPIs) to measure the success of data products, providing synthesized analysis and strategic insights to senior management.
- Provide thought leadership by developing principles, training programs, and fostering a culture of collaboration and innovation to drive cultural change and promote data-driven decision-making.
- Stay informed about industry trends and emerging technologies to improve our data products remain competitive and innovative.
- Leading the design and development of data products that support AI and advanced analytics, recommending they meet business needs and drive value.
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
- Demonstrate ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
- Bachelor’s or Master’s degree in a relevant field (for example Data Science, Computer Science, Business Analytics).
- Diverse problem-solving experience, such as 8+ years’ work experience in data strategy, product management, management consulting, internal strategy or a related field within financial services & fintech.
- Good knowledge and understanding of data, AI, and emerging technologies.
- Excellent analytical skills with the ability to apply quantitative approaches to problem-solving.
- Ability to quickly assimilate new topics and information with excellent attention to detail.
- Good verbal and written communication skills; ability to effectively communicate with senior management.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization.