Corporate Vice President - Technical Data Lead
New York Life Insurance CoAbout the role
Location Designation: Hybrid - 3 days per week
Role Overview:
We are seeking energetic and passionate Technical Data Lead to design and execute our company’s modern data management strategy. As a key member of Enterprise Data Platform team, you will work with talented engineers, architects, data scientists and end users to reimagine, design and build the next generation of Insurance solutions in the cloud leveraging nascent and modern technologies and platforms including AWS and Azure cloud, APIs, and AI.
In this role, you will be responsible for the design, development and deployment of optimal data integration pipelines taking advantage of leading-edge technologies through experimentation and iterative refinement. You will assist other team members in building and executing automation that effectively and repeatably ensures quality, security, integrity and maintainability of our solutions. You will also be responsible for the evaluation of existing data Integration architecture, evolve and enhance the foundation, participate in product ideation and technology stack evaluation and recommendations.
What You’ll Do:
- Lead Data Solution Design: Architect, design, and implement modern data solutions in AWS Cloud, leveraging ETL/ELT processes and data integration tools like IDMC , DBT.
- Manage the integration of data from various internal and external sources using modern data platforms, ensuring clean, reliable, and scalable data pipelines.
- Work closely with the Business Stakeholders, Business Analyst, Data Architects to review business requirements, understand business processes, data entities, data producers, consumers, and the data dependencies between various departments.
- Work closely with business stakeholders, data scientists, and analysts to gather requirements, understand business processes, and deliver data solutions that meet strategic objectives.
- Ensure that the data architecture supports the organization’s data governance framework, promoting data quality, integrity, and regulatory compliance.
- Provide technical leadership and mentoring to the data engineering team, setting best practices for development, testing, and documentation of data workflows.
- Review Data models and ETL/ELT mappings/designs/workflows.
- Provide solutions to ETL team, deliver efficient and scalable DW solutions in high data growth environment.
- Oversee team activities related to coding, unit testing, system testing, resolve defect originating during system test and deploy the fixes for the defects when needed.
- Help in investigating production data issues and provide workaround/fixes for the issues in an SME role.
- Function as a bridge between technical and business audiences during solution planning, development, and deployment.
- Understand Onsite & Offshore models and lead the teams (BA, DM, ETL, QA). Own end-to-end technical delivery of all the efforts & projects.
- Create reliable solution plans that include cost estimates and optimized delivery approaches by working
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