Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
This role will be part of a dedicated hybrid actuarial/data science team, known as Actuarial Strategic Modeling(ASM), designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes. ASM is responsible for all modeling that pertains to pricing, class plans, and profitability within the Business Insurance.
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As the Director of Data Engineer for our ASM Middle & Large Business Insurance Engineering team, you will participate in the entire software development lifecycle process in support of continuous data delivery. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
- Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities.
- Developimplement the design for data pipelines and testing frameworks, both batch and real-time, to meet business needs while balancing maintainability, reliability, security, and scalability.
- Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case.
- Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.
- Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices.
- Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture.
- Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset.
- Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Qualifications:
- 8+ years experience in Data Engineering practice.
- Bachelor's degree in Computer Science, Engineering, IT, MIS, or a related discipline
- Expertise in Python, SQL, and R
- Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
- Expertise in ETL concerning metadata management and data validation
- Expertise in Unix and Git
- Expertise in Automation tools (Autosys, Cron, Airflow, etc.)
- Experience with AWS Services (i.e. S3, EMR, etc) a plus
- Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus.
- Able to communicate effectively with both technical and non-technical teams.
- Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
- Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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