Senior Manager - Data Governance Analyst

Genpact
London
1 year ago
Applications closed

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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.


Overview

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.


Roles and Responsibilities

  • 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.


Required Skills

  1. Strong proficiency in logical data modeling techniques
  2. Extensive experience with database design tools such as ERwin or IBM InfoSphere Data Architect
  3. In-depth knowledge of SQL and relational database concepts
  4. Excellent verbal and written communication skills
  5. Proven ability to work collaboratively in a team environment
  6. Minimum five years of experience in the financial sector


Preferred Skills

  1. Experience with big data technologies like Hadoop or Spark
  2. Familiarity with regulatory requirements related to financial crime (such as AML/KYC)
  3. Knowledge of cloud-based database solutions such as AWS Redshift or Google BigQuery
  4. Strong organizational skills


Qualifications

  1. Bachelor’s degree in computer science, information technology, or a related field
  2. Five years of relevant experience in logical data modeling within the financial sector


Preferred Qualifications

  1. Master’s degree in computer science or information technology
  2. Certification in database design or related fields (such as CDMP)
  3. Three years of managerial experience leading a team

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