Bulge Bracket Investment Banks

Digital Data Owner Lead - Vice President

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation: Not specified
City: Chicago
Country: United States

Senior data owner role responsible for overseeing data created, provisioned, and consumed in key business applications to support business objectives, analytics, and AI/ML use cases. You will define and classify critical data, develop AI-ready data product strategy, and manage data quality, protection, retention, and risk across the data lifecycle. The role partners closely with technology and business stakeholders, manages direct or matrixed staff, and drives delivery through backlog and product management practices.

Location: Chicago, IL, United States

Join us to shape the future of data at our firm, enabling innovation and business growth through high-quality, well-protected data. As a Vice President Area Data Owner, you’ll have the opportunity to impact business outcomes and advance your career by collaborating with technology and business partners.

As a Vice President Area Data Owner within our team, you will oversee all data created, provisioned, or consumed in key business applications. You will help define and classify critical data, ensuring it supports business objectives, advanced analytics, and AI/ML use cases. You will work closely with technology and business partners to deliver data that meets quality and safety standards, and execute processes to identify, monitor, and mitigate data risks throughout the data lifecycle.

You will serve as a subject matter expert for your business area, collaborating across teams to deliver on strategic objectives. Your leadership will help drive the development of AI-ready data products and ensure compliance with firm policies and standards.

Job Responsibilities

Build and groom the backlog for data delivery teams, defining initiatives and epics to guide work and outcomes

Develop data strategy to define and deliver AI-ready data products

Create plans to develop and deliver data supporting business operations, strategic objectives, analytics, and AI/ML use cases

Document requirements for data content and quality, coordinating with technology and business partners to deliver on these requirements

Develop processes and procedures in the data product management lifecycle; identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, destruction, storage, use, and quality

Partner with technology and business resources to resolve identified data issues in a timely and consistent manner

Manage direct or matrixed staff to execute data-related tasks

Required Qualifications, Capabilities, and Skills

Six years of related data management and platform experience

Bachelor’s degree required; Master’s degree preferred

Expertise in data technologies such as analytics, business intelligence, data analysis, machine learning, data warehousing, data management and governance, data quality

Experience with risk and control requirements

Strong interpersonal and communication skills

Good business acumen and strategic thinking

Preferred Qualifications, Capabilities, and Skills

Understanding and practical experience in data engineering and analytics (SQL, Tableau, Alteryx, Spark), machine learning (Python, JupyterLab, LLMs), cloud technologies and their applications (AWS, Snowflake, Databricks)

Knowledge of open data standards, data taxonomy and vocabularies, metadata management

Analytical thinking and problem-solving skills

Drive innovation by ensuring business data is documented, high quality, and protected to support analytics and operations.