Manager, Data Engineering

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Job Summary

Strategic Analytics is a growing team at Arch that has established itself as a driving force in how the business is run. This is achieved through the implementation of real-time predictive analytic solutions that move the company forward. Our track record is 100% adoption of our tools and services. Data plays a critical role in our mission. We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python.

As Manager of Strategic Analytics Services, you will implement complex data pipelines that put analytics at the heart of decision-making. You will work closely with leaders across the company on high-profile analytics projects that drive business strategies. As a key member of the data engineering team, you will extend our capacity to deliver and push the team forward.

Responsibilities

• Work with strategic partners to solve business problems by directing junior employees to develop best-in-class data solutions
• Manage data engineering throughout the project lifecycle
• Build strong partnerships with peers across the organization to support data-related goals
• Proactively design intuitive data structures by anticipating analytic needs
• Explore new technologies and data sources with curiosity and creativity
• Leverage technology to automate data ingestion and link external and internal data
• Provide the appropriate documentation of sources and technical solutions

Education and Experience

• Demonstrated experience building data structures to support analytics/research/actuarial functions in an insurance company setting
• Experience with cloud technologies like Python (preferred), Sequel (preferred), Snowflake and Databricks
• Familiarity with the MLOps framework
• Ability to operate independently - managing tasks and engaging people across the team
• Exceptional collaboration and relationship building skills
• Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
• Strong data manipulation skills for analytics
• Resilient problem solving and critical thinking skills
• Thorough understanding of data warehousing concepts and design
• Ability to communicate effectively to different target audiences
• Flexibility - able to meet changing requirements and priorities
• 4+ years of data engineering experience
• 2+ years of project management experience
• College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent

#LI-LH1

For individuals assigned or hired to work in California, Colorado, Jersey City, NJ; New York State; and/or Washington State, the base salary range is listed below. This range is as of the time of posting. Position is incentive eligible.

$148,614 - $201,066/year

• Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above range may be modified in the future
• Click here to learn more on available benefits

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.