A Steward Manager Jobs (NOW HIRING)

3. Data Quality:
a. Define Data Quality rules and standards for corresponding Business Unit or Corporate Group.
b. Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and Data Domain Working Group to align Data Quality rules and standards for corresponding Business Unit or Corporate Group with enterprise-level Data Quality rules and standards - collaborate with Data Quality COE Lead and team, Data Quality Issues Management Group and Data Domain Working Group.
c. Partner with Technical Business Stewards to enroll and implement Data Quality rules for corresponding Business Unit or Corporate Group into appropriate systems- collaborate with Technical Business Stewards.
d. Monitor Data Quality activities, track data issues and risks, and develop associated mitigation strategies for corresponding Business Unit or Corporate Group.
e. Participate in Data Quality Issue Management Group and provide Corporate Group- or Business Unit-specific information - collaborate with Data Quality Issue Management Group.
f. As member of Data Quality Issue Management Group and/or Data Domain Working Group, escalate Data Quality issues and considerations as necessary to the Enterprise Data Governance Council - collaborate with Enterprise Data Governance Council.
g. Assist in resolving Data Quality Issues, either as part of Business Unit / Corporate Group or as part of the Data Quality Issue Management Group or as part of the Data Domain Working Group - collaborate with Data Quality Issue Management Group; Data Domain Working Group.

4. Enterprise Metadata Repository / Metadata Catalogue:
a. Onboard new CDEs' related business metadata - collaborate with Metadata COE.
b. Update central metadata repository with business metadata content (business terms, definitions, classifications, and business and Data Quality rules) - collaborate with Metadata COE and Technical Data Stewards.
c. Review CDEs' metadata on an established frequency basis - collaborate with Metadata COE.
d. Discover and execute CDE metadata update requests - collaborate with Metadata COE.
e. Get CDE metadata change requests approved with Data Domain Working Group - collaborate with Data Domain Working Group.

5. Data Privacy, Security, Retention and Archiving:
a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer.
b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer.
c. Monitor data security for data elements for corresponding Business Unit or Corporate Group.
d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team.
e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team.
f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group.
g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards.

6. Data Sharing, Access Control and Data Transfer:
a. Define Data Privacy rules and align them with the Enterprise Privacy Policy in collaborate with Chief Privacy Officer
b. Further responsible for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer.
c. Monitor data security for data elements for corresponding Business Unit or Corporate Group
d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team.
e. Review data requirements to enable compliance with Privacy Policy and other similar corporate policies and documents - collaborate with Chief Privacy Officer and team.
f. Enable the application of corporate strategy, policy, and ethics for all consumers of data from given Business Unit or Corporate Group.
g. Monitor data for alignment with national and regional regulations as well as with corporate ethical standards.

QUALIFICATIONS

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Equivalent combination of advanced education and related experience, which could include any combination of: 8-10 years of experience managing business processes or experience in technical-related decisions on the business side
2. Ability to translate enterprise strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions.
3. Executive level communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services.
4. Significant knowledge of current and emerging application software products and tools
5. Extensive project management experience to include multi-million dollar projects completed on time, within budget and delivering quality results
6. Strong analytical and architectural skills
7. Ability to manage a high volume of internal client relationships
8. Knowledge of all phases of software engineering life cycle and experience with process improvement models

Preferred Qualifications:

1. Bachelor's or master's degree in business analytics, computer science, Information Technology, or a related field
2. Proven experience in a senior leadership role, preferably in a financial institution with a focus on financial crimes prevention
3. Extensive knowledge of Data and Analytics including emerging trends
4. Strong understanding of banking operations, risk management, and regulatory compliance
5. Excellent leadership, communication, and interpersonal skills
6. Project management experience and proficiency in managing budgets
7. Familiarity with machine learning, data analytics, and artificial intelligence in financial institutions
8. Banking or financial services experience, especially in a particular niche area