DATA MANAGEMENT

Data Management Professional Locations: Charlotte (Preferred) / Dallas / New York

Duration: 12 months

Type: Hybrid, 3 days onsite, W2 only

Important Manager Notes Regarding This Need:

Data validation, data reconciliation and ability to be nimble across lots of different sources of data is by far the most important piece of this need.

It would also be helpful if they had AI experience and an ability to work with it (not developing). This is not a requirement.

Able to provide senior leadership updates and be in the hot seat-can present well.

CIB covers: investment banking, corporate banking, commercial real estate and capital markets Industry relevant experience is great but the most important thing is data validation, data lineage and data management

Job Description:

Partner with business, technology and CIB data management leaders, as well as other line of business horizontal service teams and Enterprise functions, for the execution of data management deliverables across Corporate & Investment Banking (CIB)

Ensure CIB compliance to Enterprise data policies and procedures

Support the resolution of data quality defects and data issues

Support data control remediation plans

Support the establishment of applicable data quality controls associated with key business elements

Support all regulatory remediation activities and ensure the mitigation of data management risk for CIB

Support CIB Data Management on the establishment and monitoring of key data management risk metrics

Support the identification of data management risk, measure compliance and assess the effectiveness of controls for risk mitigation

Support implementation of appropriate data management controls to mitigate data management risk

Support the identification and escalation of key and emerging risks related to data management

Desired Qualifications:

7+ years of financial services industry experience

Knowledge of the enterprise data domain and data environment construct – data sourcing, conformance and distribution

Extensive knowledge and understanding of data governance compliance

Knowledge of data movement, detective and preventative data quality controls

Extensive business analyst skills including, but not limited to, technical, analytical, communication problem-solving and research

Experience in technology delivery or technology change and potential resulting risks