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

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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.

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IT Manager - Data Engineering