Data Modeller

Key Responsibilities:

• Data Modeling

  : Develop

  conceptual

  ,

  logical

  , and

  physical data models

  for various domains within the organization using industry best practices and standards.

• Collaboration with Stakeholders

  : Work closely with

  business

  and

  functional teams

  to translate their data requirements into effective data models.

• Subject Matter Expert

  : Serve as a

  subject matter expert

  in

  data modeling tools

  (e.g.,

  ERwin Data Modeler

  ), providing guidance to other team members and stakeholders.

• Standardization

  : Establish and maintain

  standardized data models

  across portfolios and domains, ensuring

  consistency

  and

  governance

  .

• Model Optimization

  : Identify and implement opportunities to

  optimize existing data models

  , especially in critical areas such as

  fraud

  ,

  banking

  , and

  AML

  (anti-money laundering).

• Consulting Services

  : Provide

  consulting

  on data modeling tool usage and administration, ensuring seamless

  data flow

  and

  application connections

  .

• Training and Support

  : Develop and deliver

  training content

  and support materials to help stakeholders understand and utilize data models effectively.

• Governance Framework

  : Collaborate with the

  enterprise data modeling group

  to develop and implement a

  robust governance framework

  and metrics for model standardization, focusing on long-term

  automated monitoring solutions

  .

Qualifications:

• Education

  : Bachelor's or Master's degree in

  Computer Science

  ,

  Information Systems

  , or a related field.

• Experience

  :
• At least

  10 years

  of experience as a

  Data Modeler

  or in a similar role, preferably within a

  large enterprise

  environment.
• Prior experience in

  Enterprise Data Modeling

  .

• Domain experience

  in

  Insurance

  or

  Investment Banking

  is preferred.

• Technical Skills

  :
• Expertise in

  data modeling concepts

  and methodologies.
• Proficiency with

  ERwin Data Modeler

  and other

  data modeling tools

  .
• Hands-on experience with

  database environments

  like

  Snowflake

  and

  Netezza

  .
• Strong

  SQL

  skills.
• Experience in

  data warehousing

  ,

  ETL processes

  , and

  big data technologies

  .
• Familiarity with

  cloud data services

  .

• Soft Skills

  :

• Strong analytical

  and

  problem-solving skills

  .
• Excellent

  communication

  and

  collaboration

  skills.
• Ability to work effectively with

  cross-functional teams

  and

  stakeholders

  .