Director of Data Engineering (Hybrid)

Utica National Insurance Group•New Hartford, NY

4d•Hybrid

About The Position

The Head of Data Engineering is responsible for leading and overseeing all data engineering functions, reporting directly to the Chief Data & Analytics Officer. This role owns the data delivery roadmap and ensures the accuracy, consistency, and quality of all data solutions. It provides strategic leadership in designing, building, and maintaining scalable data architectures, pipelines, and ETL workflows. Additionally, the role leads and develops a high-performing team of Data Engineers, drives best practices in data engineering, and ensures successful delivery of complex data initiatives aligned with business objectives.

Requirements

Bachelor's Degree- Computer Science or equivalent, required
4-7 years- Direct management experience. in building out Data Solutions (using various technologies)
More than 10 years- Successful leadership experience in rolling multi year initiatives and projects
More than 10 years- Experience with Data Warehousing and Software Development.
Hands-on experience with Data Modeling, Data Warehousing, ETL tools (Informatica or SSIS), SQL Server.
Strong leadership skills to move the team through a major change, initiative to drive change forward and identify solutions to potential obstacles.

Nice To Haves

Master's Degree-Computer Science or equivalent , preferred.

Responsibilities

Reporting to Chief Data & Analytics Officer, this role has overall responsibility for all Data Engineering functions including Data Delivery Roadmap and Project Ownership.
Responsible for ensuring completeness, accuracy, consistency, and quality of all deliverables required for each project.
Lead, Manage and Grow a team of Data Engineers to ensure a high level of performance and efficacy.
Provide guidance to the team in key architectural design and development methodologies.
Help set goals and measure progress of the team.
Provide strategic leadership for the design, development, testing and delivery of large-scale data structures and pipelines and efficient Extract, Transform and Load (ETL) workflows.
Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
Collaborate effectively with Data Science, Business Intelligence and Technology teams to define success metrics and road map.
Impacts the business results, leading others in identifying and resolving complex technical, operational, and organizational problems.
Sets priorities, allocates resources and develops plans for multiple related teams.
Develop and manage the processes, controls, and technical solutions necessary for an effective Data Engineering function.
Hands-on experience with Data Modeling, Data Warehousing, ETL tools (Informatica or SSIS), SQL Server.
Strong leadership skills to move the team through a major change, initiative to drive change forward and identify solutions to potential obstacles.
Performs other duties as assigned.
Conforms with all corporate policies and procedures.

Benefits

Medical and Prescription Drug Benefit
Dental Benefit
Vision Benefit
Life Insurance and Disability Benefits
401(k) Profit Sharing and Investment Plan (Includes annual Company financial contribution and discretionary Profit Sharing contribution based upon annual company financial results)
Health Savings Account (HSA)
Flexible Spending Accounts
Tuition Assistance, Training, and Professional Designations
Company-Paid Family Leave
Adoption/Surrogacy Assistance Benefit
Voluntary Benefits - Group Accident Insurance, Hospital Indemnity, Critical Illness, Legal, ID Theft Protection, Pet Insurance
Student Loan Refinancing Services
Care.com Membership with Back-up Care, Senior Solutions
Business Travel Accident Insurance
Matching Gifts program
Paid Volunteer Day
Employee Referral Award Program
Wellness programs
Personal Insurance Discount