Product Owner & Lead Engineer – Data Virtualization Platforms - Vice President
Morgan Stanley is hiring a Product Owner & Lead Engineer – Data Virtualization Platforms - Vice President. It pays $125k-$175k a year and Level rates it ; you can apply on Morgan Stanley.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Databricks among its tools and skills.
- Level classes it as an executive role.
- Morgan Stanley has 1,200+ other open roles on Level.
- Posted in the last few days.
AI in this role
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is a Principal Cloud & Infrastructure Engineering I position at Vice President, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.
This role covers both the deployments as well as the issues, incidents, change record executions, configuration updates and deployment patches related to change management and incident management
What you’ll do in the role:
- We are seeking a senior technologist to provide product ownership and platform engineering leadership for the Firm's enterprise Data Virtualization platforms, along with related AI/analytics and test data management platforms.
- The successful candidate will own the strategy, architecture, engineering, and operation of these platforms, and will lead the 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.
- Responsibilities include platform security, resilience, automation, and observability; onboarding and enabling application teams; managing vendor relationships and product roadmaps; and partnering with Engineering, Operations, Security, Risk, and business stakeholders.
- The role balances production stability with delivery of strategic roadmap initiatives, and includes mentoring engineers and establishing engineering best practices.
- The ideal candidate is a strong infrastructure engineer and hands-on technical leader with experience owning enterprise data platforms, a pragmatic engineering mindset, and the ability to drive adoption and influence across a large organization Required Experience: 10+ years
What you’ll bring to the role:
- 10+ years of hands-on experience in infrastructure or platform engineering, including experience as a product owner or technical lead for enterprise data platforms
- Hands-on experience with data virtualization or data federation platforms (e.g., Denodo, TIBCO Data Virtualization, or similar)
- Strong core infrastructure fundamentals (Linux, networking, high availability, authentication/authorization, APIs
- Proficiency in Python and Unix shell scripting, with experience building automation and self-service tooling
- Experience with Agile/DevOps practices and tooling (Git, CI/CD, Jira)
- Experience managing vendor relationships and product roadmaps
- Strong stakeholder management, communication, and problem-solving skills
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
Desired Skills:
- Experience with AI/ML and analytics platforms (e.g., Dataiku) and/or test data management platforms (e.g., 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
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $125,000 and $175,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
How we rate this
Product Owner & Lead Engineer – Data Virtualization Platforms - Vice President at Morgan Stanley rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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