Director Data Engineering

Director Data Engineering

This job is no longer open

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Hartford seeks energetic and passionate talent to build and create best in class data science teams. Our Service Data Science team supports Operations and Enterprise Experience and works closely with our product Data Science teams to optimize customer interactions and experience.  As a Director, you will play a significant role in partnering with leaders across functional areas to deliver modern and sustainable data science products generating meaningful outcomes for the enterprise.

We are looking for talent who embraces our core values:

  • We build solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.

  • We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.

  • We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.

  • We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.

  • We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.

Responsibilities:

  • Lead a team of data engineers who create structured data sets and features for modeling and analysis and deploy data science assets into production.

  • Lead the technical design of solutions, balancing a need to deliver and ensuring maintainability, reliability and scalability.

  • Interpret business issues and recommend solutions / best practices.

  • Navigate data warehouses and independently understand the data model and join disparate data sets to ensure quality and integrity.

  • Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management throughout the data science lifecycle.

  • Provide thought leadership, acting as an internal technical consultant within data science community, IT, enterprise data teams and business customers.

Experience & Skills

  • 7+ years of relevant experience in data engineering, data science and/or analytics in Insurance or Financial Services

  • Experience managing technical professionals in project based environment

  • Ability to design, implement and oversee processes focused on delivery of data science assets

  • Advanced data engineering skills including Python and SQL

  • Experience with Cloud (AWS) and Big data technologies.

  • Proven communication skills; Must be able to communicate effectively at all levels across the organization in small and large groups

  • Must be authorized to work in the US, now and in the future.

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:

$130,400 - $195,600

Benefits

Our company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.

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

Dir Data Engineering - GE06AE
This job is no longer open
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