Managing Director Analytical Engineering

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.

A new role can expand your knowledge and your network, and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.

The Hartford is seeking a Director of Analytical Engineering. This leadership role is crucial for guiding a team of engineers to improve our analytical tools, automate metric monitoring, and refine our hypothesis testing processes. These enhancements will empower our analysts to generate faster, deeper, and more actionable insights for our partners. The ideal candidate should have a strong background in modern analytics and data engineering, along with a passion for innovation and continuous improvement.

• Lead and develop a team of data engineers to create significant improvements for our claim performance analysts, driving more actionable insights for our partners.
• Develop and execute on a multi-year roadmap to automate and augment our analytical process, leveraging the latest analytical tools and passive metric monitoring where possible.
• Coach a team of business facing analytical engineers that curate new metrics and characteristics in support of ad-hoc partners requests and enhance hypothesis testing.
• Drive statistical, machine learning, and AI upskilling across the performance analytics team. Stay up to date on emerging approaches by attending conferences and developing strong partnerships with key data science and enterprise data partners.
• Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
• Work dynamically, helping to support day-to-day responsibilities, prioritizing new requests, and ensuring progress is made on our strategic investments.
• Work closely with the enterprise data services group's dedicated team that maintains our data products to collaborate and prioritize on critical enhancements needed to produce better insights.

• A minimum of 8 years of experience in Claims data and analytics is recommended.
• Bachelor's degree in Computer Science, Information Systems, Statistics or a related field.
• Strong leadership, coaching, teaching, and peer influencing skills.
• Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution.
• Experience implementing statistical methods including hypothesis testing, regression, sample size determination, and analysis of variance. Additional experience building an implementing machine learning algorithms is a plus.
• Experience operating within an Agile framework, including rapid prototyping, learning fast, and scaling to maximize value added.
• Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques.
• Data wrangling experience using MS SQL Server, Oracle SQL Developer, Apache Spark SQL, Snowflake expertise in programming languages like SQL, Python etc.
• Experience in Unix and Git, automation tools (Autosys, Cron, Airflow, etc.), and AWS Services (i.e. S3, EMR, etc.).
• Stay up to date on emerging analytical and AI trends, attending conferences, and driving thought leadership to enhance organizational impact and visibility.
• Role may involve infrequent travel
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.