Product Owner & Lead Engineer – Data Virtualization Platforms - Vice President

Morgan Stanley•Edison, NJ

11d

About The Position

Morgan Stanley is seeking a senior technologist to provide product ownership and platform engineering leadership for its enterprise Data Virtualization platforms and related AI/analytics and test data management platforms. The successful candidate will own platform strategy, architecture, engineering, and operations, and lead modernization of the Firm’s data virtualization capability, including migration to a next-generation platform and expanding governed, self-service access to data across the Firm. The role covers platform deployments as well as issues, incidents, change record executions, configuration updates, and deployment patches related to change and incident management. It balances production stability with strategic roadmap delivery and involves platform security, resilience, automation, and observability; enabling application teams; managing vendor relationships and product roadmaps; and partnering with Engineering, Operations, Security, Risk, and business stakeholders. The role also includes mentoring engineers and establishing engineering best practices. The ideal candidate is a hands-on infrastructure engineer and technical leader with experience owning enterprise data platforms, a pragmatic engineering mindset, and the ability to drive adoption and influence across a large organization.

Requirements

At least 10 years of hands-on experience in infrastructure or platform engineering.
Experience as a product owner or technical lead for enterprise data platforms.
Hands-on experience with data virtualization or data federation platforms such as Denodo, TIBCO Data Virtualization, or similar.
Strong infrastructure fundamentals, including Linux, networking, high availability, authentication/authorization, and APIs.
Proficiency in Python and Unix shell scripting, including experience building automation and self-service tooling.
Experience with Agile/DevOps practices and tools such as Git, CI/CD, and Jira.
Experience managing vendor relationships and product roadmaps.
Strong stakeholder management, communication, and problem-solving skills.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice To Haves

Experience with AI/ML and analytics platforms such as Dataiku and/or test data management platforms such as Delphix.
Working knowledge of enterprise data platforms such as Snowflake, Databricks, or relational databases.
Experience leading a platform migration or modernization program.
Familiarity with observability tools, Infrastructure-as-Code, containerization, or public cloud.

Responsibilities

Own the strategy, architecture, engineering, and operation of enterprise Data Virtualization platforms and related AI/analytics and test data management platforms.
Lead modernization of the Firm’s data virtualization capability, including migration to a next-generation platform and expansion of governed, self-service data access.
Manage platform security, resilience, automation, and observability.
Onboard and enable application teams.
Manage vendor relationships and product roadmaps.
Partner with Engineering, Operations, Security, Risk, and business stakeholders.
Balance production stability with delivery of strategic roadmap initiatives.
Mentor engineers and establish engineering best practices.
Support deployments, issues, incidents, change record executions, configuration updates, and deployment patches related to change and incident management.