Vice President Analytical Solutions – Data Readiness for AI and Generative Systems
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Job Location:
Monthly Salary:
Posted on:
28-10-2025
Vacancies:
1 Vacancy
Job Summary
Join us as a Vice President Analytical Solution in the Data and Analytics organization where youll shape the future of AI by transforming how data is prepared and enriched for advanced analytics and generative AI. This is your opportunity to drive innovation collaborate with top talent and make a lasting impact on our data ecosystem. We offer a dynamic environment focused on career growth skill development and the chance to work on cutting-edge technology.
As a Vice President Analytical Solution in the Consumer and Community Banking Data and Analytics team you will define and deliver the strategy for AI-ready data making structured and unstructured data interpretable and reusable for AI analytics and Agentic systems. You will partner with engineers data scientists and business teams to set direction prototype quickly and turn innovation into scalable enterprise capability. You will help establish next-generation standards drive execution with product thinking and collaborate across functions to embed readiness principles into the enterprise data lifecycle.
You will work hands-on with modern AI and data-engineering stacks using your expertise to test ideas automate workflows and demonstrate best practices. Your work will drive measurable outcomes for data usability enrichment quality and readiness maturity translating progress into tangible value for business and AI use cases.
Job Responsibilities
- Lead the product vision for AI-ready data defining and delivering strategy for interpretable and reusable data
- Establish next-generation standards by translating AI and analytics requirements into data readiness frameworks
- Prototype rapidly using LLM frameworks APIs and tools to validate new approaches for enrichment quality and discovery
- Drive execution with product thinking simplifying modernization efforts into clear outcome-oriented roadmaps
- Collaborate across functions with data owners stewards AI/ML teams and platform engineering to embed readiness principles
- Define KPIs for data usability enrichment quality and readiness maturity translating progress into business and AI value
- Stay hands-on with modern AI and data-engineering stacks to test ideas automate workflows and demonstrate best practices
Required Qualifications Capabilities and Skills
- Five years of experience or equivalent expertise in product management data science or applied AI roles within enterprise data environments
- Strong understanding of data management and readiness concepts including metadata lineage data quality and governance
- Working knowledge of LLM and NLP ecosystems (e.g. OpenAI Hugging Face LangChain or similar frameworks)
- Ability to prototype in Python or notebooks call APIs and build lightweight experiments to validate ideas
- Excellent communication presentation and influencing skills with the ability to collaborate and build relationships across all levels including senior executives in various lines of business product and engineering teams
Preferred Qualifications Capabilities and Skills
- Experience designing or managing AI-assisted data curation or enrichment workflows
- Exposure to vector databases embeddings or RAG concepts
- Familiarity with data management platforms (e.g. DataHub Collibra Alation) data modeling and data publishing platforms
- Demonstrated experience working in a highly matrixed complex organization
Required Experience:
Exec
Key Skills
- Change Management
- Financial Services
- Growing Experience
- Managed Care
- Management Experience
- Analysis Skills
- Senior Leadership
- Performance Management
- Process Management
- Leadership Experience
- negotiation
- Analytics
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
