Data Engineering AVP

Full-time - Senior

Jersey City, NJ

Insurance Carriers and Related Activities

About the position

The Data Engineering AVP will join the AIG Data Office, responsible for major data delivery project development, functional enhancement, and function as subject matter expert for technology selection. The person will work collaboratively with business, product owners and vendor partners to ensure successful delivery of data programs. This is a strategic role supporting mission critical financial functions. This includes leading technical resources, partnering with AIG Cloud team, and architecture teams to deliver cloud solutions that are secure, resilient, scalable & efficient. The person is responsible for leading deliverables in a highly outsourced model. The ideal candidate should have experience working on technology & product roadmaps to achieve the long-term objectives.

Responsibilities

• Lead technical delivery for large, mission critical initiatives, with initial focus on a multi-year financial transformation program for Commercial insurance.
• Lead highly outsourced technical delivery teams to deliver data pipelines across functional areas, like Finance / Actuarial systems on time, with high quality and continuous innovation.
• Establish best practice, guidance, and recommendations for data cloud solutions that are scalable, secure, resilient, efficient, and managed with operational excellence.
• Serves as a Technical Subject Matter Expert for data programs; guiding technology selection with focus on efficiency, cost and time to market.
• Recommend opportunities to modernize the data application portfolio to reduce operational cost and eliminate technical debt.
• Responsible for fostering relationships with business and IT stakeholders for the program.
• Maintain industry / AIG security standards and SDLC compliance for delivery. This includes establish and develop data controls for internal and external requirements.
• Ensure high quality delivery across multi-vendor teams spread across different geographies.

Requirements

• Significant experience in Application development, large data management solutions and information handling at the enterprise level, possessing deep understanding of SDLC.
• In-depth knowledge of the architectural principles and services used to develop technical cloud strategy and review workload architectures. Should be able to provide guidance on how to address high-risk issues.
• Ability to manage large vendor teams across multiple geographies.
• Experience working in large, complex, multinational financial data environments.
• Insurance (ideally property and casualty) industry expertise in the data domain.
• Business acumen and understanding of Insurance metrics and financials.
• Ability to work under challenging delivery situations fulfilling tight deadlines and budget constraints.
• Experience in providing technical expertise and project leadership by conducting industry and market research and making recommendations regarding current and new domain knowledge and related technologies.
• Ability to understand the long-term ('big picture') and short-term perspectives of situations.
• Effective communication skills and facilitation experience with business and technology stakeholders to understand use cases and business needs.
• Ability to influence change and drive results. Must be a self-motivated driver to identify issues and resolve them quickly.
• Ability to work effectively in a fast-paced environment and with changing priorities.
• Familiarity with Agile methodologies and ability to use Rally to track user stories.

Nice-to-haves

• Bachelor's degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years' experience in software development, data modeling or data engineering work in progressive leadership roles.
• Strong background in cloud infrastructure and AWS services.
• Knowledge of Snowflake, Oracle, DB2, SPARK, JAVA, Microsoft technologies.
• Familiarity transforming and analyzing structured, semi-structured, and unstructured data.
• Experience with Git / GitHub.
• Prior experience of adoption of AI accelerators for application development is a plus.
• Experience in Property and Casualty insurance with emphasis in commercial lines. Prior experience in Finance discipline is a plus.
• Experience in developing and operationalizing complex data engineering solutions.
• Leverages expert problem-solving skills and techniques.

Benefits

• Comprehensive benefits package focused on health, wellbeing, and financial security.
• Variety of leaves for personal, health, family, and military needs.
• Tuition reimbursement program for eligible employees.
• Opportunities for professional development and continuous learning.