Director - Scalable Solutions Team Lead

The Hartford

4.5

(69)

Hartford, CT

Why you should apply for a job to The Hartford:

  • 4.5/5 in overall job satisfaction
  • 4.4/5 in supportive management
  • 75% say women are treated fairly and equally to men
  • 87% would recommend this company to other women
  • 90% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • The Professional Women’s Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance.
  • The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion.
  • Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay.
  • #R2416675

    Position summary

    or all modeling that pertains to pricing, class plans, and profitability. The role will lead a team of machine learning engineers to develop MLOps pipelines, develop modeling & data engineering standards and best practices, facilitate implementation of cloud services, and maintain partnership with TDAC(Technology, Data, Analytics, and Cyber) teams.

    As a Director and Data Engineer, you will participate in the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. 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 arrangement, with the expectation of working in an office location (Hartford, CT; Charlotte, NC; Chicago, IL; Columbus, OH) 3 days a week (Tuesday through Thursday).

    Responsibilities:

    • Actively lead and develop a team of machine learning engineers to deliver and maintain sustainable, reusable, scalable machine learning assets/platforms and production pipelines that assist the modelingengineering teams in meeting the overall strategic initiatives.

    • Develop and implement the design patterns for data pipelines and testing frameworks, both batch and real-time, to meet business needs while balancing maintainability, reliability, security, and scalability.

    • Lead the use, development, and adoption of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices.

    • Lead the use and adoption of AWS clouds services for modeling and data engineering.

    • Collaborate with Data Scientists, Actuaries, Data Engineers, and Product Owners to ensure smooth integration of models into production systems.

    • Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.

    • 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:

    • Bachelor's or Master's degree in Computer Science, Engineering, IT, MIS, or a related discipline

    • 7+ years experience as ML engineer, architect, engineer, lead data scientist in Big Data ecosystem or any similar distributed or public Cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.

    • 4+ years hands-on experience in integrating, evaluating, deploying, operationalizing ML models at speed and scale, including integration with enterprise applications and APIs.

    • Experience with AWS Services (i.e. S3, EMR, etc).

    • Experience developing with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops.

    • 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 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:

    $148,720 - $223,080

    Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

    About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

    Why you should apply for a job to The Hartford:

  • 4.5/5 in overall job satisfaction
  • 4.4/5 in supportive management
  • 75% say women are treated fairly and equally to men
  • 87% would recommend this company to other women
  • 90% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • The Professional Women’s Network (PWN) provides professional support, growth, advancement and networking to enable greater gender balance.
  • The Hartford offers diversity awareness training known as Appreciating Differences and Managing Inclusion.
  • Employees will be provided with leave of up to four weeks and paid at a rate of 100 percent of their base pay.