Data Product Strategy Lead
Data Product Strategy Lead
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Job Description
Ignite your passion for product innovation by leading customer-centric development inspiring solutions and shaping the future with your strategic vision and influence.
As an Executive Director - Data Product Strategy Lead in Corporate & Investment Bank (CIB) you lead innovation through the development of products and features that delight customers. As a leader on the team you leverage your advanced capabilities to challenge traditional approaches remove barriers to success and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs.
J.P. Morgan Chase is seeking a talented candidate for the Corporate & Investment Bank (CIB). This position is crucial for enabling the development of reusable data products across CIBs various businesses supporting AI and other advanced analytics initiatives. The role involves engaging with internal stakeholders contributing to the strategic direction of data product development enabling reuse and scaling of data products across the CIB (Corporate & Investment Bank) andrecommendingalignment with our firms broader data and analytics goals.
Job responsibilities
- Overseesthe product roadmap vision development execution risk management and business growthtargets.
- Leads the entire product life cycle through planning execution and future development by continuously adapting developing new products and methodologies managing risks and achieving businesstargetslike cost features reusability and reliability to support growth.
- Coaches and mentors the product team on best practices such as solution generation market research storyboarding mind-mapping prototyping methods product adoption strategies and product delivery enabling them to effectively deliver onobjectives.
- Owns product performance and is accountable for investing in enhancements to achieve businessobjectives.
- Monitors market trends conducts competitive analysis and identifies opportunities for product differentiation.
- 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 thesuccessof 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 toprovide advisory thatour data products remain competitive and innovative. Leading the design and development of data products that support AI and advanced analyticsrecommendingthey meet business needs and drive value.
Required qualifications capabilities and skills
- Formal training or equivalent expertise delivering products projects or technology applications.
- Extensive knowledge of the product development life cycle technical design and data analytics
- Demonstrateability to influence the adoption of key product life cycle activities including discovery ideation strategic development requirements definition and value management.
- Experience driving change within organizations and managing stakeholders across multiple functions.
- Bachelors or Masters degree in a relevant field (e.g. Data Science Computer Science Business Analytics).
- Diverse problem-solving experience in data strategy product management management consulting internal strategy or a related field within financial services & fintech.
- Goodknowledge and understanding of data AI and emerging technologies.
- Excellent analytical skills with theabilityto apply quantitative approaches to problem-solving.
- Abilityto quickly assimilate new topics and information with excellent attention to detail.
- Goodverbal and written communication skills;abilityto effectively communicate with senior management.
Employment Type
Full-Time
