Data Management Senior Associate

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:

Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The impact you will have in this role :

Being a member of the Enterprise Data Team you will be part of the 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 produce business data element names, document clear and accurate data element descriptions, and identify valid values for the data Lead the collaborative efforts with the data 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 support of initiatives and enterprise-wide data efforts. Lead data quality through data profiling, defining and detailing data quality and data validation rules, performing root cause analysis for identified data quality issues, and leading 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 on key metrics for identified use cases Provide analytical and reporting capabilities to support decision making by the business partners Craft and deliver clear 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 Deep understanding 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

Actual salary is determined based on the role, location, individual experience, skills, and other considerations.

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