Asset Management Operations Data Owner, Vice President

JPMorgan Chase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase seeks a Vice President, Data Owner for Asset Management Operations to guide data governance, strategy, and modernization across holdings, transactions, performance, and attribution data.

You will lead data products, define data contracts, and ensure quality and regulatory compliance while partnering with senior leadership to drive transformation and trusted analytics across enterprise platforms.

Qualifications

• Experience in asset management data domains and data governance.
• Ability to translate complex data topics for senior stakeholders.
• Proven track record in leading data initiatives across multiple workstreams.

Responsibilities

• Set and drive data domain strategy with senior data leadership.
• Own modernization path from legacy systems to strategic platforms.
• Define and govern critical data elements with lineage and quality controls.
• Maintain data contracts between producers and consumers.
• Translate user needs into reusable data requirements for analytics.

Skills

Data governance

Asset management operations

Stakeholder communication

Data management

Regulatory awareness

Cross-functional collaboration

Education

Bachelor's degree

Job description

Shape how high-impact data is governed, trusted, and reused across a critical operations environment. In this role, you'll drive domain strategy and modernization while balancing quality, risk, and delivery outcomes. You'll translate complex data topics into crisp decisions for senior stakeholders. You'll strengthen data products that enable transformation and responsible analytics. Join a team that values partnership, clarity, and execution rigor.

Job summary

As a Vice President, data owner in Asset Management Operations, you lead data management activities that support strategic business and product objectives with a focus on holdings, transactions, performance, and attribution data

Job responsibilities

• Set and drive data domain strategy, including scope, boundaries, and target-state approach, in partnership with senior data leadership
• Own the domain's data landscape and modernization path, including migration planning from legacy systems to strategic platforms
• Define and govern critical data elements, and strengthen lineage, documentation, and consumption practices to support regulatory and business needs
• Own and evolve core domain artifacts, including data dictionaries, data quality rules, and lineage documentation
• Establish and enforce clear data contracts between producers and consumers, including quality, accessibility, and usage standards that enable trusted reuse
• Lead and scale data products by translating user needs into discoverable, reusable requirements that support transformation and analytics use cases
• Oversee data risk posture and metrics, participating in governance forums to drive decisions, manage escalations, and track remediation
• Set direction for product owners and drive execution against enterprise data management policies and principles

Required qualifications, capabilities and skills

• Bachelor's degree- 10 years of experience in a data-related role within financial services or a similarly regulated environment
• Demonstrated expertise in asset management operations, data management, or a closely related function
• Domain knowledge of holdings, transactions, performance, and attribution data
• Proven ability to manage delivery across multiple workstreams with varying priorities, timelines, and complexity
• Strong cross-functional partnership and influence skills, with the ability to work effectively across multiple job functions and levels of seniority
• Excellent judgment and decision-making capability, including the ability to work independently in a fast-paced environment
• Strong analytical skills, investigative mindset, and high attention to detail
• Clear, concise written and verbal communication skills, including the ability to explain complex topics to senior audiences

Preferred qualifications, capabilities and skills

• Experience defining data products, data contracts, and measurable data quality outcomes
• Experience with cloud-based data platforms and modern data architectures
• Familiarity with agile delivery practices and product development methodologies
• Understanding of responsible AI capabilities and how data enables analytics use cases
• Experience operating in data governance forums and driving stakeholder alignment on decisions