Job Description Summary
This customer facing position will utilize a unique blend of skills in data architecture, business analysis, and strong industry knowledge (particularly insurance/reinsurance) to fully understand and analyze business information needs and deliver on actionable data initiatives. The ideal candidate will excel in cross-functional collaboration and team leadership, with a keen ability to understand and translate complex business needs into effective data solutions.
Job Description
Roles and Responsibilities
- Engage with business leaders across various functions to deeply understand and analyze their data needs. Apply business analysis techniques to capture and translate these requirements into concrete data initiatives.
- Design, develop, and maintain both logical and physical data models, ensuring alignment with business objectives. Utilize tools such as Erwin for data modeling.
- Proficiency in SQL and good knowledge of relational databases.
- Lead and manage ETL processes, including data mapping, extraction, transformation, and loading of data, ensuring accuracy and efficiency.
- Craft comprehensive data strategies that integrate a wide array of technologies and platforms. Leverage experience with industry-standard models to guide these strategies.
- Establish robust data governance frameworks, focusing on data integrity, security, and compliance. Design systems with a forward-thinking approach to compliance, minimizing the need for future redesigns.
- Develop and maintain a strong concept of master and reference data within the organization, ensuring consistency and accuracy.
- Coordinate and lead the Data Governance Council.
- Work closely with IT teams and contracted personnel, providing guidance and fostering an environment conducive to shared learning and problem-solving.
- Exhibit strong communication skills, effectively conveying complex data concepts in a manner understandable to diverse audiences, including non-technical stakeholders.
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Qualifications
- Bachelor's degree in computer science, Information Technology, Data Science, or a related field.
- Minimum 8 years of experience in data architecture and modeling, with expertise in logical and physical data model creation and maintenance.
Preferred Qualifications
- Proven background in business analysis, with the ability to discern and articulate business requirements.
- Experience in insurance or reinsurance industries.
- Proficiency in Erwin or similar data modeling tools.
- Experience with ETL processes and data mapping.
- Familiarity with industry-standard data models and best practices in master/reference data management.
- Strong understanding of data governance, compliance, and the ability to integrate these aspects into data solutions.
Additional Information
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
#LI-Remote - This is a remote position