Vice President, Data Strategy for AI

JPMorgan Chase & Co.
New York, NY, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$118,750.0 - $205,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Confluence JIRA Python (Programming Language) Metadata Meta-Data Management SQL Databases Data Strategy Atlassian Tools Data Management
+2 more
Data Delivery Semantic Modeling

Job description

Help accelerate Asset Management’s data strategy with a role that directly enables high-impact analytics and artificial intelligence use cases. You will strengthen metadata foundations and support the development of ontologies that improve data discoverability, usability, and governance. This is a hands-on opportunity to work across business stakeholders, data owners and custodians, and technology teams to translate real needs into measurable deliverables. You will partner closely with the Artificial Intelligence Data Strategy Lead while helping unblock delivery across multiple work streams., As a Vice President - AI Data Strategy in Asset Management Data Strategy & Platform, you will drive artificial intelligence data readiness by strengthening metadata, documentation, quality expectations, and access and control readiness. You will collaborate with business consumers, data owners and custodians, product partners, and technology teams to translate priority use cases into clear data, metadata, and semantic deliverables. You will help shape and promote the adoption of Asset Management artificial intelligence ontologies so teams can use data more consistently across domains and data products., * Execute artificial intelligence data readiness work streams to strengthen metadata robustness, documentation, quality expectations, access readiness, and controls

  • Partner with business consumers and analytics users to understand priority use cases and translate them into clear readiness requirements and deliverables
  • Assess data fitness-for-purpose with data owners and custodians against business and artificial intelligence use needs
  • Support the design and adoption of Asset Management artificial intelligence ontologies to promote consistent usage across data domains and data products
  • Coordinate across business, product, technology, and data stakeholders to unblock delivery
  • Manage dependencies, risks, issues, and delivery plans across multiple work streams
  • Ensure deliverables meet documentation, governance, and control standards
  • Analyze data to identify trends and root causes, and synthesize actionable insights to inform prioritization and decisions
  • Use agile tools (for example, Jira and Confluence) to manage work, report status, and increase transparency to stakeholders and governance forums
  • Improve data operating model practices by identifying duplication and consolidation opportunities

Requirements

  • 7+ years of relevant experience in data analysis, data delivery, data management, data strategy or transformation roles in complex, matrixed environments
  • Demonstrated ability to deliver outcomes with minimal supervision, operate effectively with ambiguity, and ā€œjoin the dotsā€ across business, data, and technology
  • Strong stakeholder engagement skills, including influencing without authority and translating business needs into data/metadata/semantic requirements
  • Hands-on understanding of data quality and metadata management (e.g., definitions, ownership, usage context), with comfort working in detail with datasets (SQL and/or Python)
  • Risk and control awareness, including alignment to regulated environment requirements
  • Practical experience with agile methodologies and tools (JIRA, Confluence, Kanban), with disciplined planning, status reporting, and issue/risk management

Preferred qualifications, capabilities, and skills:

  • Experience in Asset Management and familiarity with investment and/or client data domains
  • Familiarity with data product practices such as data contracts, lifecycle management, and product telemetry
  • Exposure to semantic modeling approaches (ontologies/taxonomies/controlled vocabularies) used to enable analytics or AI use cases
  • Bachelor’s degree or equivalent experience required; advanced degree or relevant certifications (e.g., Agile, PMP) a plus

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the 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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management., J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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