[Remote] IT Manager - Data Engineering
Note: The job is a remote job and is open to candidates in USA. Save A Lot is seeking an IT Manager for Data Engineering to lead their Data Insights teams. The role involves delivering enterprise-wide data and analytics functions while ensuring data quality and usability for business needs.
Responsibilities
- Lead one of the Data Engineering teams (Data Insights or Data Platforms) to provide reporting and business intelligence/analytics functions to the enterprise and ensure optimal user experience in obtaining and analyzing data
- Measure the quality and effectiveness of the analytics environment and tools, and ensure optimal usability, performance and availability
- Assist in the delivery of an enterprise data pipeline to improve access to real/near-real-time data across the enterprise
- Partner with Enterprise Architects to deliver multi-year analytics strategy, providing roadmaps and investment plans for all data-related capability
- Partner with the security and risk teams to ensure secure, compliant analytics and reporting environments
- Partner with the enterprise technology function to ensure effective and efficient operation of all environments
- Partner with the data platforms team to migrate reusable assets and key metrics back into enterprise data platforms to support automated and dependable reporting and analysis
- Foster continuous process improvement within the Data Insights organization and functions
- Cultivate strong relationships with all stakeholders of the insights and key business teams
Skills
- Bachelor's degree in computer science, engineering or related field of study
- 3-5 years IT experience
- 3-5 years of experience delivering high-profile projects in a complex enterprise environment
- 3-5 years developing and delivering data and analytics systems or data warehouses
- 3-5 years leading teams
- Strong leadership skills
- Strong planning and organizational skills
- Knowledge of financial models and budgeting
- Experience in measuring and communicating the value of analytics
- Expertise in measuring, managing, and communicating system total cost of ownership
- Experience in multiple enterprise environments, industries and development methodologies
- Experience with big data tools and environments and data science capabilities preferred
- Experience integrating data in diverse technical environments
Benefits
- 401K company match up to 4%
- Paid Time Off
- Medical Insurance options including FSA & HSA
- Vision Insurance
- Dental insurance
- Employee Assistance Programs
- Team Member Referral Program
- Tuition Reimbursement
- Wellbeing Program
- Career development opportunities
Company Overview