IT Manager - Data Engineering

Save A Lot; St. Ann (MO); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401K company match up to 4%

Paid Time Off

Medical Insurance options including FS

Vision Insurance

Dental insurance

Employee Assistance Programs

Team Member Referral Program

Tuition Reimbursement

Wellbeing Program

Career development opportunities

Job summary

Save A Lot is seeking a Manager of Data Engineering in Missouri to lead one of our Data Insights teams, delivering enterprise-wide data, analytics and data science capabilities. You will ensure data is well-defined, high quality and accessible to business and technology users, while guiding BI, analytics and data engineering initiatives.

You will partner with architects, security, and enterprise technology teams to shape multi-year analytics roadmaps, optimize data pipelines and drive continuous

Qualifications

• Bachelor's degree in computer science, engineering or related field of study.
• 3-5 years IT experience.
• 3-5 years 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.

Responsibilities

• Lead one of the Data Engineering teams to provide reporting and business intelligence/analytics functions across the enterprise.
• Measure the quality and effectiveness of the analytics environment and tools.
• Assist in delivering an enterprise data pipeline for real/near-real-time data access.
• Partner with Enterprise Architects on analytics strategy, roadmaps and investment plans.
• Collaborate with security and risk teams to ensure secure analytics and reporting environments.
• Work with enterprise technology to ensure efficient operation of environments.
• Migrate assets and key metrics back into enterprise data platforms to support reporting.

Skills

Leadership

Project management

Data engineering

Data pipelines

Analytics strategy

Education

Bachelor's degree in computer science/engineering or related field

Tools

Big data tools

Job description

Purpose

The Manager of Data Engineering leads one of the Data Insights teams (Data Platforms, Data Analytics, etc.) and is responsible for delivering enterprise-wide data, business analytics and data science functions and connecting business needs with supporting technology. These teams ensure that all data across the enterprise are well defined, of high quality, available to all necessary business and technology users, and are easily used and understood. Additionally, these teams provide expertise in reporting, business intelligence, data science, data engineering and integration, and data quality improvement.

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

About You

• 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
• Experience with big data tools and environments and data science capabilities preferred.
• Experience integrating data in diverse technical environments
• 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

Physical Requirements

• Some travel required depending on role which may include weekends and evenings, as needed
• Required to tour retail stores and may spend long periods of time standing or walking
• Most work is performed in a temperature-controlled environment
• Incumbent may sit for long periods of time at a desk or computer terminal
• Incumbent may use calculators, keyboards, telephone and other office equipment in the course of a normal workday
• Stooping, bending, twisting and reaching may be required in completion of job duties

Our Values

• Ability to demonstrate, understand and apply our workplace values.
• Simplicity (operate) – the drive to identify root cause and innovate to remove complexity to deliver the best outcome
• Heart (emotion) – the passion that drives you to get up every day and work hard to strive for excellence
• Performance Excellence (mindset) – clearly defining high expectations, driving ownership of key roles and responsibilities, executing with integrity and emphasis while creating a culture of accountability
• Respect (philosophy) – taking pride in being inclusive and treating everyone who comes through the doors with respect

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

The above statements are intended to describe the general nature of the work performed by the employees assigned to this job. All employees must comply with Company policy and applicable laws. The responsibilities, duties and skills required of personnel so classified may vary within each department and /or location.