Corporate Vice President - Technology Solutions Lead

Location Designation: Hybrid - 3 days per month 

Technology:

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.

Role Overview:

We are currently seeking a Technology Solutions Lead within the New York Life Corporate Finance Technology function to guide both onshore and offshore development teams to deliver scalable, high-performance applications on our NYL cloud platform. This includes working with other teams 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. 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 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.  Proficiency in Agile methodologies and experience leading cross-functional teams are critical for success in this role.

What You’ll Do:

• Support a team of developers and engineers managing the Corporate Finance cloud platform and integrated vendor solutions.

• Provide technical leadership and mentoring to the corporate finance engineering team, setting best practices for development, testing, and documentation of data workflows.

• 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.
• 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 delivery of all the efforts & projects.
• Create reliable solution plans that include cost estimates and optimized delivery approaches by working with the business and multi-disciplinary teams. 
• Ensure that the data architecture supports the organization’s data governance framework, promoting data quality, integrity, and regulatory compliance.
• Manage and optimize data warehousing solutions, particularly in Redshift. Ensure efficient data storage, retrieval, and manipulation.
• Oversee the automation of data processes within the AWS cloud environment utilizing ETL integration tools and services such as EC2, S3, Lambda, and Redshift for data storage and processing.