About the job
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. 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 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.
Responsibilities
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
Qualifications
Minimum
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 Scanning and Discovery tools such as Big ID, Global ID, Varonis, Guardium, Collibra Edge, and ServiceNow CMDB.
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
Preferred
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