Data Management Senior Associate

• As a Data Steward Analyst reporting directly to a Data Steward responsible for Customer Connectivity Data Domain, you will provide critical support for the management of that Information Domains across the enterprise, including support of enterprise-wide Data Management initiatives.
• 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, while demonstrating a high degree of accuracy and attention to detail to deliver high-quality outputs within deadlines.
• You will need to work effectively within an agile framework as part of a cross functional team that includes Product Managers, Product Owners, Business Architects, Operations and Information Technology Subject Matter Experts, Data Architects, Data Modelers, Enterprise Test Engineers, Data Governance and Data Quality Leads, IT Business System Analysts, and other Data Steward Business Analysts.
• You should also be able to work independently with appropriate initiative-taking and problem-solving, even in ambiguous situations.
• Your role is key in bridging the gap between IT and the business and requires the ability to access, profile and analyze data, understand and document business requirements, and communicate clearly and concisely with a broad range of technical and business stakeholders.

Your Primary Responsibilities

• Drive preliminary data analysis for new projects to determine whether required data exists within DTCC; identify and document 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
• Actively engage with domain experts across various business lines to understand and document business requirements for data and to integrate data with process flows
• Assist data modelers in producing conceptual and logical data models, including entity and attribute names and definitions
• Use the enterprise metadata repository to input and handle required metadata for critical and prioritized data elements in support of data management initiatives and enterprise-wide data efforts
• Support data quality through comprehensive evaluation of the data control environment including profiling data, defining and documenting operational and systemic data quality controls, supporting the development of data quality rules, performing root cause analysis for identified data quality issues, and supporting data cleansing efforts to ensure that data is fit for its intended use
• Assist the Data Steward with project planning, identification of resource requirements, and effort estimation
• Independently handle assigned projects, across the life cycle from initiation through to closing
• Develop and deliver clear and concise, high-quality presentations to partners and leadership that provide the appropriate level of detail for the intended audience
• Participate significantly as a core member of one or more agile squads, including attending daily stand-up, grooming sessions and other agile ceremonies, documenting user stories, and tracking and reporting on relevant project metrics
• Find opportunities for process optimization, automation and enhance data management efficiency and effectiveness

Qualifications:

• Minimum of 6 years of related experience in data management, data governance, or a related role
• Bachelor''s degree or equivalent experience

Talents Needed for Success:

• Understanding of customer connection data, provisioning records, network topology, and service activation flows.
• Familiarity with OSS/BSS systems and how they store client connection details
• Understanding of

  role-based access control (RBAC)

  and

  encryption standards

  for sensitive client data
• Solid grasp of data management processes and standard methodologies
• Excellent written and verbal communication skills
• Excellent analytical and quantitative skills
• Proficiency with Microsoft Office tools required; experience with data management tools (e.g. Collibra), and business process tools (e.g. Mega HOPEX) preferred
• Proficiency in SQL and database management systems; basic understanding of Logical Data Modeling and Database design is a plus