What are the responsibilities and job description for the Product Solutions Manager, Data & AI - Vice President position at JPMorgan Chase?
Unlock your potential as a leader in product solutions, where you will guide data and AI platform strategy, optimize complex problem-solving, and shape customer-centric solutions. Leverage your expertise in data mesh, data platforms, and data lakes to make a lasting impact in a fast-paced, collaborative environment.
As a Product Solutions Manager in Commercial & Investment Banking (CIB), you are an expert in the data & AI platform lifecycle. As a core member on the team, you leverage your advanced capabilities to craft complex, scalable solutions, partner with business and technology stakeholders to identify and capture opportunities, and create new ways for teams to continuously deliver value through innovative data & AI infrastructure.
This role will partner with Lines of Business (LOB) leaders, Chief Data & Analytics Officers (CDOs/CAOs), and Platform Product & Engineering teams to identify, design, and enable high-priority, complex use cases. You will drive the translation of strategic business needs into end-to-end platform solutions, ensuring alignment, adoption, and measurable outcomes.
Job responsibilities
- Partners with LOB leadership to ensure each LOB has a clear, prioritized book of work for platform – ensuring focus on the most impactful opportunities
- Leads end-to-end solution design for the LOB use cases in collaboration with platform product managers and engineers to combine existing and new capabilities.
- Leverages extensive knowledge of data platforms, data mesh architecture, and data lake technologies to manage the strategic development of end-to-end product solution strategies and processes.
- Partners with business, technology, and sales teams to advise on strategic platform adoption, contributes to the development of enablement materials and training, and oversees responses to strategic platform requests.
- Manages the collection of stakeholder feedback and oversees the delivery of actionable insights to Product and Engineering teams to drive continuous improvement.
- Promotes the adoption of data & AI standards, common file formats, and interoperability across data lakes and warehouses.
- Champions platform convergence, reusability, and scalability to maximize business impact.
Required qualifications, capabilities, and skills
- 5 years of product management experience or equivalent expertise leading and developing data platform solutions across multiple teams and products.
- Extensive experience facilitating platform adoption, optimizing strategies and processes for data mesh, data warehouses, and analytics ecosystems.
- Demonstrable experience structuring and delivering complex analytical and AI solutions for business problems using modern data architectures.
- Proven track record implementing data platforms at scale, including experience or equivalent expertise with technologies such as Databricks, Snowflake, AWS
- Strong stakeholder management, and facilitation skills—comfortable engaging C-level leaders and technical teams.
Preferred qualifications, capabilities, and skills
- Familiarity with open data standards, common file formats, and open table formats.