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Summary:

The Vice President of Data Engineering will be responsible for managing various key data projects across the organization and providing people and technology leadership. The Vice president will also expand and optimize the data and data pipeline architecture, as well optimize data flow and collection for cross functional teams. This role will constantly work with next level Data Engineers and Architects to find opportunities to leverage new technologies to process large volumes of data. The Vice President will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. The role will work closely with the business stakeholders, data architects and IT teams to support on data strategy initiatives and will ensure optimal data delivery architecture is consistent throughout the strategy. The role also will follow modern SDLC principles, test driven development and source code reviews and change control standards in order to maintain compliance with policies. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

This position can sit in New York City or Boston.

Responsibilities

• Define, manage, and execute a comprehensive data programs across the enterprise with a focus on measuring, improving, and reporting on the effectiveness of that program.
• Drive initiatives to ensure that enterprise data is managed consistently in line with business strategies and requirements.
• Provide leadership on driving initiatives to improve business performance through improved decision making based on sound analysis of structured information captured in databases and other information repositories.
• Design and develop enterprise data / data architecture solutions using data technologies like Spark, Scala, Python, SQL, AWS Glue, AWS EMR, AWS Lambda, AWS Batch etc.
• Strong understanding of AI and ML algorithms & methodologies
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain optimal data pipeline architecture.
• Devise, Lead and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality.
• Partner with business leaders to determine and prioritize delivery initiatives.
• Define or influence system, technical and application architectures for major areas of development.
• Devise, Lead and execute in software development life cycle including requirements gathering, development, testing, release management, and maintenance.
• Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes, and challenges on a regular basis.
• Ability to do analytical programming in EDW architecture to bridge the gap between a traditional DB architecture and a Big Data centric architecture.
• Highly organized and analytic, capable of solving business problems using technology.
• Ensure appropriate change management and other technology methodologies are carried out on a consistent basis over time.
• Should be an individual with in-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms.
• Should have excellent analytical skills, able to recognize data patterns and troubleshoot the data.
• Will be responsible for design and delivery of data solutions to empower data migration initiatives, BI initiatives, dashboards development etc.

QUALIFICATIONS

• Undergraduate degree required, MBA or other advanced degree preferred.
• 15+ years of experience as a member of an information/data technology team.
• Minimum of 5-7 years of relevant experience architecting the complete end to end design of enterprise-wide solution using latest technologies – AWS Glue, AWS EMR, AWS Lambda, AWS Batch, Spring boot/Spring Cloud, Rest API, SQL
• Minimum of 5-7 experience in SQL Python, Core Java, AWS, Rest API, Microservices, Spring Boot, Spring cloud etc.
• Minimum of 5 experience in AI & ML Methodologies
• Ideally a strong Annuities, Life, Reinsurance and Investment background.
• Experience with data modeling, complex data structures, data processing, and data quality and data lifecycle
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to provide solution for specific business requirements.
• Experience building solutions for streaming applications.
• Should be able to lead critical aspects of the data management and application management.
• Experience in UNIX shell scripting, batch scheduling and version control tools.
• Experience in large scale server-side application development that includes the design and implementation of high-volume data processing jobs.
• Cultural awareness with excellent interpersonal and relationship building skills.
• Passion and drive for continuous improvement and transformational change, with a business owner mentality.
• Strong written and verbal communication skills.

Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic has offices in Atlanta, Batesville, Bermuda, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office.

Global Atlantic's base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic's total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k), as well as a company match on your contributions), and sales incentives. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives. The base salary range for this role is $150,000 to $220,000.

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