Morgan Stanley-posted 7 days ago
$150,000 - $210,000/Yr
Full-time • Mid Level
New York, NY
5,001-10,000 employees

Department Profile: Firmwide Data Office (FDO) The Firmwide Data Office (“FDO”) sits within Morgan Stanley Technology and focuses on data as a key priority within the overall Technology and the Firm strategy. We are a team of around 250+ people distributed globally and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience, Production Management) across the Firm. The team vision is a multi-year effort to improve data governance & management practices, to demonstrate data quality controls, simplify firm’s data architecture and business processes front-to-back, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making. Program Description: We are working on an exciting new initiative to build an Enterprise Knowledge Graph by harnessing the power of Graph and Semantic technologies along with Big Data and other innovative technologies to map complex business, application, data, and infrastructure asset relationships to facilitate data-driven insights and decision making. Across our business divisions, as we strive to understand risk impact, optimize cost, assess business resiliency, manage change, and identify opportunities - all critical to fuel the growth engine -, we need to link vast amount of data of different types and forms across heterogeneous data sources across the Firm to generate meaningful intelligence. The underlying data will describe the Firm’s businesses, business processes and various operational assets required to support those businesses (systems, technology infrastructure, datacenter facilities, workforce, workforce facilities, external supplier services and industry utilities). Role: The “Firmwide Data Office” department is recruiting for an enthusiastic, dynamic “Product and Delivery Manager” for this innovative program that plans to harness various Data discovery & scanning techniques, analytical techniques like AI, LLMs as well as the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph and solve complex business problems around Data Lineage, Metadata Management, Data protection and overall data strategy. As a member of our Software Development team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your Product Management and Application Development expertise with a never-ending quest to create innovative technology through solid engineering practices. You’ll work with highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders.

  • Manage and oversee end to end project & delivery management functions such as requirements, scope, prioritization, roadmap/plan, budget, resource planning, dependency & change management and stakeholder management
  • Manage and oversee various Product management functions such as requirements & use case capture, backlog maintenance & grooming
  • Utilize various techniques like Design thinking, user journey mapping, value stream mapping to envision new ideas & product features.
  • Take new feature ideas from ideation / exploration with customers to delivery planning and full production rollout, including communication and adoption plan
  • Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap
  • Collaborate with the development team using Agile/scrum methodologies around use cases, development sequencing, priorities, and phasing for MVPs
  • Be data-driven, creating and monitoring product and customer value metrics to make objective prioritization decisions
  • Utilize application development and data architecture expertise along with business domain knowledge to drive the program execution and product evolution around overall data strategy including Data Lineage, Metadata Management, Data Protection, Knowledge graph development
  • Bachelor's degree and solid 10+ years’ experience with Technology product and delivery management functions
  • 6+ years of hands-on product management as well as business & data analysis experience in a fast-paced agile development environment
  • Prior experience in roles and functions that are highly data-driven and that required understanding of data and technology architectures as related to business requirements, use-cases, and functional designs
  • Extensive experience building products utilizing AI, LLMs as well as other analytical techniques e.g. NLP, Statistical modeling
  • Extensive experience managing R&D focused projects and managing delivery lifecycle from R&D to production.
  • Experience with various data discovery and scanning techniques and tools e.g. data at rest scanning, data in motion scanning, code scanning, unstructured data scanning & tagging
  • Experience building solutions for data lineage, metadata management, data catalogs, data governance, data quality improvements, taxonomies
  • A combination of deep technical knowledge, program management expertise as well as customer & delivery focused mindset
  • Strong ability to discuss requirements, user stories and technical solution details with the development team, while also clearly communicating product features, roadmap and business value to senior business and technology stakeholders
  • An outstanding ability to analyze problems with keen attention to the details, apply quantitative analytical approaches, communicate effectively and concisely, and work well in cross-functional teams
  • Experience delivering user experiences that are empowering and well-designed, preferably including data visualization
  • Self-starter with strong creative problem solving, facilitation, communication and interpersonal skills
  • Knowledge of Banking or Capital Markets and familiar with current regulations such as BCBS 239, IFRS, CCAR and relevant data governance & data management requirements
  • Experience with knowledge graph development or information management
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