Job
Description
The impact you will have in this role : Being a member of theEnterprise Data Teamyou willbe part ofthe leadership team in establishing, maturing, and driving the implementation of industry-leading data management practices. The ideal candidate for this position is a self-starter with a strong ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks. Success in this role demands the ability to work in a fast-paced environment and adapt to shifting priorities. Your Primary Responsibilities : Leadership Responsibilities Lead the team of Data Steward Analysts and Business Analysts located in the offshore location, including day-to-day staff management Act as point of contact for the offshore data analyst team and liaise regularly with onshore management, and communicate any key updates from the offshore location Produce periodic reports on offshore team activity to management Help with recruiting for open positions in the offshore location, onboarding and training of new hires Data Stewardship & Analysis Responsibilities Work with Product owners and other stakeholders to understand and scope data management deliverables and translate those into user stories for data management team. Independently lead multiple projects through the lifecycle of engagement, execution and closing Collaborate across groups to elicit business requirements, develop and document project plans, identify resource requirements, and estimate effort for assigned projects Lead the team participation in preliminary data analysis for new projects: resolve whether required data exists within DTCC; identify and detail authoritative sources for existing data; define onboarding plans for new data Collaborate with business and operational partners to comprehensively analyze data in order to producebusiness data element names, document clear and accurate data element descriptions, and identify valid values for the data Lead the collaborative efforts with thedata modelers in producing conceptual and logical data models, including entity and attribute names and definitions Utilize the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in supportofinitiatives and enterprise-wide data efforts. Leaddata quality through data profiling, defining and detailing data quality and data validation rules, performing root cause analysis for identified data quality issues, andleading the data cleansing efforts to ensure that data is fit for its intended use Identify program scaling opportunities and propose both process and tool related scaling solutions; Create business requirements for scaling solutions and work with appropriate stakeholder teams to create execution roadmaps, and track and report progress. Define, track, and report onkey metrics for identified use cases Provide analytical and reporting capabilities to support decision making by the business partners Craft and deliverclear and concise high quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience Participate substantially as a key member of several agile squads,as defined by the Data Management CoE ways of working Mitigate risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior Leadership Competencies Inclusive Leadership: Values individuals and embraces diversity by integrating differences and promoting diversity and inclusion across teams and functions. Coaching: Understands and anticipates people's needs, skills, and abilities, in order to coach, motivate and empower them for success. Feedback: Seeks feedback from others, provides feedback to others in support of their development, and is open and honest while dealing constructively with criticism. Delegating: Effectively manages tasks and people, taking a practical approach to determine the most effective method of execution while respecting others expertise and considering others feelings and working styles. Qualifications: Minimum 7 years of related experience Bachelor's degree (preferred) or equivalent experience Talents Needed for Success: Deep expertise in the latest innovation, technology and solutions with regards to data Deepunderstanding of data management processes and standard methodologies Familiarity with analytical tools and statistical methods required for AI/ML Self-starter with a solid ability to prioritize, own and drive projects, and quickly learn new concepts and frameworks Excellent writing written and verbal communication skills Excellent analytical and quantitative skills Technical Skills such as ability to profile data using SQL queries; basic understanding of Logical Data Modeling and Database design is a plus Familiarity with business architecture frameworks and concepts highly desirable Experience in banking, capital markets, or financial operations preferred Expertise in connecting different data domains and its impact on the investment process Prior experience working with technology, business teams and operating model changes Exhibits strong understanding of Agile Software Development (primarily Scrum and Kanban) principles and techniques. Understands and uses applicable work management tools (i.e. JIRA) for decision making and collaboration Drives creative and solution-oriented activity with all participants and collaborators
