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Who Are We?
Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.Compensation OverviewThe annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.Salary Range$121,800.00 - $200,900.00Target Openings1What Is the Opportunity?Travelers Enterprise Analytics Data Products and Engineering team constructs products that contextualize and provide easy access to data by the entire enterprise. As a Data Engineering Director / Tech Lead, you will accelerate growth and transformation of our analytics landscape. In this role, under the guidance of a Senior Tech Lead, you will lead teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. In addition to leading design and implementation of data products, you will also mentor and develop a team of data engineers.Primary Job Duties & Responsibilities- Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
- Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
- Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
- Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends; understanding how to apply them, and sharing knowledge with coworkers.
- Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to others thoughts and ideas.
- Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
- Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
- Monitor the health of work efforts and that of adjacent systems.
- Present analysis and recommendations to help influence strategic decisions.
- Lead and take action, inspire and motivate others, and be effective at influencing team members.
- Guide and coach team members, focusing on individual's professional development as well as overall team health and technical proficiency.
- Bachelor's degree or equivalent training with data tools, techniques, and manipulation.
- Five years of data engineering or equivalent experience
- Bachelor's Degree in STEM related field or equivalent
- Five or more years of related experience
- Two or more years of management experience
- Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
- Experience with some of the following tools & platforms (or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, EventBridge, Secrets Manager, Step Functions, ECS/EKS, DynamoDB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault, Docker / OpenShift / Open Cloud Foundry, MongoDB, BlackDuck, SonarQube
- Knowledge and experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization
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