What are the responsibilities and job description for the Compliance Sr. Manager - Data Governance/ AML/Sanctions Data Steward position at FIS?
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Education Desired :
Bachelor of Business AdministrationTravel Percentage :
0%Job Description
Are you curious, motivated, and forward-thinking? At FIS you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the role
Support the GFC Governance team to design, evolve, and scale the data governance framework, including the approach, processes, policies, technology, procedures, and assessing gaps in the enterprise data infrastructure that impact Financial Crimes compliance functions.
About the team
The FIS Sanctions Compliance Program reports to the Financial Crime Compliance team within the Legal, Compliance, and Corporate Affairs group. The FIS Sanctions Compliance Program is committed to complying with the letter and spirit of all sanctions and programs administered and enforced by all federal and international regulatory bodies, where applicable. This includes, but is not limited to, OFAC, UN, EU, OFSI, and the FCA sanctions and regulations.
What you will be doing
Direct and control multiple functions, products and/or technical disciplines. Contribute towards long-term strategic planning for compliance data governance function. May manage managers, associates, and sometimes professional individual contributors.
- Build, evolve, and scale the data governance framework for Financial Crimes compliance, including managing the relevant objectives, approach, processes, policies, technology, procedures, and assessing gaps in the enterprise data infrastructure that impact Financial Crimes compliance functions
- Design and implement robust data quality controls including data quality framework and scorecards
- Develop and optimize complex SQL queries to extract, manipulate, and analyze large volumes of financial data. Ensure data accuracy and integrity by validating and reconciling data across various sources using SQL
- Collaborate with cross-functional teams of Business Subject Matter Experts (SMEs), Business Data Stewards and Technical Data Stewards to establish and enforce data quality standards, metadata management, and data stewardship
- Contribute to the development and maintenance of master data management processes to ensure consistency and accuracy of critical data elements
- Design regular reporting on Financial Crimes Data Governance KPIs, metrics, and activities
- Monitor and communicate regulatory changes that impact data governance for FIS products, services and business activities
- Establish operational objectives and work plans
- Meet with business unit Compliance Officers on a regular basis for status updates on compliance data issues
- Other related duties assigned as needed.
What you bring:
- A Master's or Bachelor's degree in Data Architecture, Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience
- Experience with data governance as a practice, including enterprise data management, data quality, data lineage, meta data management, data methodologies, data analytics and reporting, and the ethical use of data and artificial intelligence (AI)
- Strong proficiency in data engineering including hands-on experience with SQL, ability to write and optimize complex queries, and manage data mapping and data remediation exercises
- Experience with designing and implementing data quality frameworks including data quality scorecards
- Data analysis skills with experience using enterprise tools such as Informatica IDQ, Informatica MDM, Informatica Enterprise Data Catalog, Collibra, or other metadata management tools
- High-level understanding artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologies
- Experience working on data and analytical processes, interacting, and collaborating with Technology teams in development and implementation of solutions to enable data governance capabilities, mitigate risks, and drive awareness and adoption data governance policies and standards across all data users
- Proficiency in data analysis tools (e.g., Python, R, or similar)
- Ability to build relationships and credibility across the organization
- Effective communication and collaboration skills
What we offer you
At FIS, you can learn, grow, and make an impact in your career. Our benefits include:
- Flexible and creative work environment
- Diverse and collaborative atmosphere
- Professional and personal development resources
- Opportunities to volunteer and support charities
- Competitive salary and benefits
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the .
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here: http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf
For positions located in the US, the conditions below apply.
If you are made a conditional offer of employment, you will be required to undergo a drug test and background check (including criminal record check)
ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.