Genpact – USAA || Lead Enterprise Data Modeler role || San Antonio, TX (onsite)

Position: Lead – Enterprise Data Modeler

Location: San Antonio, TX (onsite) Local

Genpact – USAA

Job Description:

Highly skilled and experienced Data Modeler to join Enterprise Data Modelling team. The candidate will be responsible for creating and maintaining conceptual, logical, and physical data models, ensuring alignment with industry best practices and standards. Working closely with business and functional teams, the Data Modeler will play a pivotal role in standardizing data models at portfolio and domain levels, driving efficiencies and maximizing the value of clients data assets. Preference will be given to candidates with prior experience within an Enterprise Data Modelling team. The ideal domain experience would be Insurance or Investment Banking

Roles and Responsibilities:

Develop comprehensive conceptual, logical, and physical data models for multiple domains within the organization, leveraging industry best practices and standards.
Collaborate with business and functional teams to understand their data requirements and translate them into effective data models that support their strategic objectives.
Serve as a subject matter expert in data modelling tools such as ERwin Data Modeler, providing guidance and support to other team members and stakeholders.
Establish and maintain standardized data models across portfolios and domains, ensuring consistency, governance, and alignment with organizational objectives.
Identify opportunities to optimize existing data models and enhance data utilization, particularly in critical areas such as fraud, banking, AML.
Provide consulting services to internal groups on data modelling tool usage, administration, and issue resolution, promoting seamless data flow and application connections.
Develop and deliver training content and support materials for data models, ensuring that stakeholders have the necessary resources to understand and utilize them effectively.
Collaborate with the enterprise data modelling group to develop and implement a robust governance framework and metrics for model standardization, with a focus on long-term automated monitoring solutions.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
10+ years of experience working as a Data Modeler or in a similar role, preferably within a large enterprise environment.
Expertise in data modelling concepts and methodologies, with demonstrated proficiency in creating conceptual, logical, and physical data models.
Hands-on experience with data modelling tools such as Erwin Data Modeler, as well as proficiency in database environments such as Snowflake and Netezza.
Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into effective data models.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.