Collibra Data Quality Analyst

 SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

The anticipated salary range for this role is between $125,000.00 and $148,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.

Responsibilities:

• Support CDQ Platform Lead, AD CDAO Office and Global Coordination Team in defining and adopting the operating model for DQ Measurement through CDQ.
• Partner with AD Tech team to implement and maintain Collibra Data Quality (CDQ) Engine.
• Ensure adherence to data quality measurement frameworks and standards when defining DQ Rules.
• Collaborate with stakeholders to define and implement data quality controls and ensure alignment with the enterprise governance framework.
• Support the mapping of DQ Rules to their DQ Controls and ensure relationships are established in Collibra.
• Hold requirement gathering sessions and ensure functional requirements and design are documented to all integration components or any other needs: Collibra DIP, SNOW, PowerBI and TWS Scheduler.
• Support business stakeholders to set up Data source connections, configurations, DQ rules creation, etc.
• Facilitate training sessions and promote best practices in data observability and CDQ usage.
• Assist in testing upgrades and validating data quality rule migrations.
• Evolve and refresh DQ Measurement and Monitoring Standard, BRD/ SOP Procedures, Framework and address audits as needed.
• Timely organization, maintenance, and prioritization of the Collibra DQ implementation roadmap in collaboration with AD Tech.
• Participate in the development of a global operating model for data quality rule deployment.
• Support the implementation and configuration of the Collibra Data Quality (CDQ) platform across all SMBC regions from analysis to POC, to production implementations and training.
• Demonstrate a commitment to learning and growing into a strategic support role for the CDQ Platform Manager.
• Support the preparation of BAU and ad-hoc senior management decks and presentations.
• Create and maintain dashboards and/or scorecards to monitor the overall health and stability of the Data Quality Engine.

Qualifications and Skills

• Bachelors Required
• 7-10 years of specialized experience in Financial Services
• Must have prior experience with data quality measurement and monitoring, including definition of business requirements, technical data quality rules, metrics and exceptions management (preferably Collibra Data Quality).
• Must have an understanding of Data Governance best practices.
• Have prior experience with Data Profiling, DQ Rule Creation, Data Management, along with the ability to identify patterns and detect statistical anomalies in datasets, is highly beneficial.
• Demonstrated experience with Data Quality tools such as IBM Information Analyzer, Alteryx, Great Expectations, Ataccama, or similar platforms.
• Strong relationship management and influencing skills to build enduring and productive alliances across matrix organizations.
• Strong team player with excellent listening, interpersonal, facilitation, written, oral and communication skills.
• Demonstrated ability to work independently and successfully manage multiple priorit