Senior Manager - Data Governance Analyst

With a startup spirit and 125,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands and we have fun doing it.
+ We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line.
+ We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.
Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing.
People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality.
And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better.
Inviting applications for the role of Senior Manager - Data Governance Analyst
In this role you will be responsible to provide a single point end to end accountability for the project oversight, reporting to project management team, establish working relationship with technology partners etc., + Develop logical data models to support business requirements in financial markets and financial crime.
+ Collaborate with stakeholders to gather and analyze requirements for data modeling projects.
+ Ensure data models align with industry standards and best practices.
+ Conduct regular reviews of existing data models to ensure they meet current business needs.
+ Provide guidance on data management strategies, including metadata management, master data management, and reference data management.
+ Work closely with IT teams to implement logical data models into physical databases.
+ Lead a team of junior modelers, providing mentorship and ensuring high-quality deliverables.

We are seeking a highly skilled Logical Data Modeler at the senior manager level with domain expertise in financial markets and financial crime.
The ideal candidate will have a strong background in data modeling, excellent analytical skills, and experience working within the financial sector., + Strong proficiency in logical data modeling techniques
+ Extensive experience with database design tools such as ERwin or IBM InfoSphere Data Architect
+ In-depth knowledge of SQL and relational database concepts
+ Excellent verbal and written communication skills
+ Proven ability to work collaboratively in a team environment
+ Minimum five years of experience in the financial sector
Preferred Skills:
+ Experience with big data technologies like Hadoop or Spark
+ Familiarity with regulatory requirements related to financial crime (such as AML / KYC)
+ Knowledge of cloud-based database solutions such as AWS Redshift or Google BigQuery
+ Strong organizational skills, + Bachelor's degree in computer science, information technology, or a related field
+ Five years of relevant experience in logical data modeling within the financial sector
Preferred Qualifications:
+ Master's degree in computer science or information technology
+ Certification in database design or related fields (such as CDMP)
+ Three years of managerial experience leading a team

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