Resume and JobRESUME AND JOB
The Home Depot logo

Software Engineering Manager, Enterprise Data and Analytics (Remote)

The Home Depot

Software Engineering Manager, Enterprise Data and Analytics (Remote)

The Home Depot logo

The Home Depot

full-time

Posted: October 29, 2025

Number of Vacancies: 1

Job Description

Position Purpose:

Position Purpose:

Software Engineering Managers lead large engineering teams, oversee multiple projects, and ensure that data solutions align with organizational goals and priorities. This role will lead and mentor a large team of data engineers, setting performance goals and overseeing skill development.  Also, this role is responsible for planning, prioritizing, and managing different priorities and their resource allocation and timelines.  Managers collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives.  The role will interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met.  

Managers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review data solutions and provide feedback to improve, based on best practices.

Key Responsibilities:

30% Delivery & Execution:

  • Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
  • Documents, reviews and ensures that all quality and change control standards are met
  • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Works with vendors and partners for the successful implementation of critical tooling and platforms
  • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
  • Evaluates new technologies for adoption across the enterprise
  • Participates in and leads review board sessions to drive consistency across the enterprise
  • Fills in on product teams for engineers who are out of the office

10% Support & Enablement:

  • Fields questions from engineers, product teams, or support teams
  • Monitors tools and participates in conversations to encourage collaboration across product teams
  • Provides application support for software running in production
  • Acts as a technical escalation point for the engineers on the team

50% People:

  • Provides leadership, mentoring, and coaching to Software Engineers
  • Attracts, retains, and develops top talent to build a world class Software Engineering Team
  • Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
  • Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
  • Acts as a proponent of modern software development practices
  • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)

10% Learning:

  • Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
  • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems


Direct Manager/Direct Reports:

  • Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.


Travel Requirements:

  • Typically requires overnight travel 5% to 20% of the time.


Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.


Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Mastery of an object oriented programming language (preferably Java)
  • Must be legally permitted to work in the United States


Preferred Qualifications:

  • 5-7 years of relevant work experience
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience).
  • Proven experience in leading data engineering and managing technical teams.
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes.
  • Mastery of writing SQL queries against a relational database
  • Experience with project management methodologies and tools.
  • Exceptional leadership and communication skills.
  • Experience with modern product development processes and pipelines
  • Proficient in effective troubleshooting and issue resolution techniques
  • Capable of understanding complicated systems quickly. 
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen.
  • Strong problem-solving skills and attention to detail.

Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.


Preferred Education:

  • No additional education


Minimum Years of Work Experience:

  • 5


Preferred Years of Work Experience:

  • No additional years of experience


Minimum Leadership Experience:

  • None


Preferred Leadership Experience:

  • None


Certifications:

  • None


Competencies:

  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus.  For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

Key Responsibilities

  • Lead large engineering teams and oversee multiple projects
  • Ensure data solutions align with organizational goals and priorities
  • Mentor a large team of data engineers, setting performance goals and overseeing skill development
  • Plan, prioritize, and manage different priorities, resource allocation, and timelines
  • Collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives
  • Interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to meet business requirements
  • Operate independently with minimum guidance, typically working as part of a team
  • Review data solutions and provide feedback based on best practices
  • Collaborate and pair with product team members to create secure, reliable, scalable software solutions
  • Document, review, and ensure quality and change control standards are met
  • Write custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Work with vendors and partners for successful implementation of critical tooling and platforms
  • Create meaningful dashboards, logging, alerting, and responses to address issues proactively
  • Contribute to enterprise-wide tools for destructive testing, automation, and engineering empowerment
  • Evaluate new technologies for adoption across the enterprise
  • Participate in and lead review board sessions to drive consistency across the enterprise
  • Fill in on product teams for engineers who are out of the office
  • Field questions from engineers, product teams, or support teams
  • Monitor tools and encourage collaboration across product teams
  • Provide application support for software running in production
  • Act as a technical escalation point for the engineers on the team
  • Provide leadership, mentoring, and coaching to Software Engineers
  • Attract, retain, and develop top talent to build a world-class Software Engineering Team
  • Conduct annual and mid-year reviews, reviewing individual development plans and team feedback
  • Foster collaboration with team members to drive consistency across product teams and expose engineers to career interests
  • Act as a proponent of modern software development practices
  • Guide team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participate in and contribute to learning activities around modern software design and development core practices
  • Learn new technologies and best practices through reading, tutorials, and videos
  • Build relationships with technology leaders at other companies to learn best practices and elegant solutions

Required Qualifications

  • Must be eighteen years of age or older
  • Must be legally permitted to work in the United States
  • Mastery of an object-oriented programming language (preferably Java)
  • 5-7 years of relevant work experience
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience)
  • Proven experience in leading data engineering and managing technical teams
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes
  • Mastery of writing SQL queries against a relational database
  • Experience with project management methodologies and tools
  • Exceptional leadership and communication skills
  • Experience with modern product development processes and pipelines
  • Proficient in effective troubleshooting and issue resolution techniques
  • Capable of understanding complicated systems quickly
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen
  • Strong problem-solving skills and attention to detail

Required Skills

  • Leadership
  • Mentoring
  • Coaching
  • Team management
  • Data engineering
  • Software development
  • Object-oriented programming (Java)
  • Cloud infrastructure
  • Data modeling
  • ETL processes
  • SQL
  • Project management
  • Communication
  • Troubleshooting
  • Issue resolution
  • Cross-functional collaboration
  • Business acumen
  • Problem-solving
  • Attention to detail

Benefits & Perks

  • Health care benefits
  • 401K
  • ESPP
  • Paid time off
  • Success sharing bonus

Locations

  • Atlanta, GA, US 30339 (Remote)

Salary

140,000 - 240,000 USD / yearly

Estimated Salary Rangehigh confidence

150,000 - 200,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Leadershipintermediate
  • Mentoringintermediate
  • Coachingintermediate
  • Team managementintermediate
  • Data engineeringintermediate
  • Software developmentintermediate
  • Object-oriented programming (Java)intermediate
  • Cloud infrastructureintermediate
  • Data modelingintermediate
  • ETL processesintermediate
  • SQLintermediate
  • Project managementintermediate
  • Communicationintermediate
  • Troubleshootingintermediate
  • Issue resolutionintermediate
  • Cross-functional collaborationintermediate
  • Business acumenintermediate
  • Problem-solvingintermediate
  • Attention to detailintermediate

Required Qualifications

  • Must be eighteen years of age or older (experience)
  • Must be legally permitted to work in the United States (experience)
  • Mastery of an object-oriented programming language (preferably Java) (experience)
  • 5-7 years of relevant work experience (experience)
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience) (experience)
  • Proven experience in leading data engineering and managing technical teams (experience)
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes (experience)
  • Mastery of writing SQL queries against a relational database (experience)
  • Experience with project management methodologies and tools (experience)
  • Exceptional leadership and communication skills (experience)
  • Experience with modern product development processes and pipelines (experience)
  • Proficient in effective troubleshooting and issue resolution techniques (experience)
  • Capable of understanding complicated systems quickly (experience)
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen (experience)
  • Strong problem-solving skills and attention to detail (experience)

Responsibilities

  • Lead large engineering teams and oversee multiple projects
  • Ensure data solutions align with organizational goals and priorities
  • Mentor a large team of data engineers, setting performance goals and overseeing skill development
  • Plan, prioritize, and manage different priorities, resource allocation, and timelines
  • Collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives
  • Interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to meet business requirements
  • Operate independently with minimum guidance, typically working as part of a team
  • Review data solutions and provide feedback based on best practices
  • Collaborate and pair with product team members to create secure, reliable, scalable software solutions
  • Document, review, and ensure quality and change control standards are met
  • Write custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Work with vendors and partners for successful implementation of critical tooling and platforms
  • Create meaningful dashboards, logging, alerting, and responses to address issues proactively
  • Contribute to enterprise-wide tools for destructive testing, automation, and engineering empowerment
  • Evaluate new technologies for adoption across the enterprise
  • Participate in and lead review board sessions to drive consistency across the enterprise
  • Fill in on product teams for engineers who are out of the office
  • Field questions from engineers, product teams, or support teams
  • Monitor tools and encourage collaboration across product teams
  • Provide application support for software running in production
  • Act as a technical escalation point for the engineers on the team
  • Provide leadership, mentoring, and coaching to Software Engineers
  • Attract, retain, and develop top talent to build a world-class Software Engineering Team
  • Conduct annual and mid-year reviews, reviewing individual development plans and team feedback
  • Foster collaboration with team members to drive consistency across product teams and expose engineers to career interests
  • Act as a proponent of modern software development practices
  • Guide team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participate in and contribute to learning activities around modern software design and development core practices
  • Learn new technologies and best practices through reading, tutorials, and videos
  • Build relationships with technology leaders at other companies to learn best practices and elegant solutions

Benefits

  • general: Health care benefits
  • general: 401K
  • general: ESPP
  • general: Paid time off
  • general: Success sharing bonus

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Tags & Categories

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The Home Depot logo

Software Engineering Manager, Enterprise Data and Analytics (Remote)

The Home Depot

Software Engineering Manager, Enterprise Data and Analytics (Remote)

The Home Depot logo

The Home Depot

full-time

Posted: October 29, 2025

Number of Vacancies: 1

Job Description

Position Purpose:

Position Purpose:

Software Engineering Managers lead large engineering teams, oversee multiple projects, and ensure that data solutions align with organizational goals and priorities. This role will lead and mentor a large team of data engineers, setting performance goals and overseeing skill development.  Also, this role is responsible for planning, prioritizing, and managing different priorities and their resource allocation and timelines.  Managers collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives.  The role will interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met.  

Managers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review data solutions and provide feedback to improve, based on best practices.

Key Responsibilities:

30% Delivery & Execution:

  • Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
  • Documents, reviews and ensures that all quality and change control standards are met
  • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Works with vendors and partners for the successful implementation of critical tooling and platforms
  • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
  • Evaluates new technologies for adoption across the enterprise
  • Participates in and leads review board sessions to drive consistency across the enterprise
  • Fills in on product teams for engineers who are out of the office

10% Support & Enablement:

  • Fields questions from engineers, product teams, or support teams
  • Monitors tools and participates in conversations to encourage collaboration across product teams
  • Provides application support for software running in production
  • Acts as a technical escalation point for the engineers on the team

50% People:

  • Provides leadership, mentoring, and coaching to Software Engineers
  • Attracts, retains, and develops top talent to build a world class Software Engineering Team
  • Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
  • Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
  • Acts as a proponent of modern software development practices
  • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)

10% Learning:

  • Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
  • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems


Direct Manager/Direct Reports:

  • Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.


Travel Requirements:

  • Typically requires overnight travel 5% to 20% of the time.


Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.


Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Mastery of an object oriented programming language (preferably Java)
  • Must be legally permitted to work in the United States


Preferred Qualifications:

  • 5-7 years of relevant work experience
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience).
  • Proven experience in leading data engineering and managing technical teams.
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes.
  • Mastery of writing SQL queries against a relational database
  • Experience with project management methodologies and tools.
  • Exceptional leadership and communication skills.
  • Experience with modern product development processes and pipelines
  • Proficient in effective troubleshooting and issue resolution techniques
  • Capable of understanding complicated systems quickly. 
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen.
  • Strong problem-solving skills and attention to detail.

Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.


Preferred Education:

  • No additional education


Minimum Years of Work Experience:

  • 5


Preferred Years of Work Experience:

  • No additional years of experience


Minimum Leadership Experience:

  • None


Preferred Leadership Experience:

  • None


Certifications:

  • None


Competencies:

  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus.  For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.

Key Responsibilities

  • Lead large engineering teams and oversee multiple projects
  • Ensure data solutions align with organizational goals and priorities
  • Mentor a large team of data engineers, setting performance goals and overseeing skill development
  • Plan, prioritize, and manage different priorities, resource allocation, and timelines
  • Collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives
  • Interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to meet business requirements
  • Operate independently with minimum guidance, typically working as part of a team
  • Review data solutions and provide feedback based on best practices
  • Collaborate and pair with product team members to create secure, reliable, scalable software solutions
  • Document, review, and ensure quality and change control standards are met
  • Write custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Work with vendors and partners for successful implementation of critical tooling and platforms
  • Create meaningful dashboards, logging, alerting, and responses to address issues proactively
  • Contribute to enterprise-wide tools for destructive testing, automation, and engineering empowerment
  • Evaluate new technologies for adoption across the enterprise
  • Participate in and lead review board sessions to drive consistency across the enterprise
  • Fill in on product teams for engineers who are out of the office
  • Field questions from engineers, product teams, or support teams
  • Monitor tools and encourage collaboration across product teams
  • Provide application support for software running in production
  • Act as a technical escalation point for the engineers on the team
  • Provide leadership, mentoring, and coaching to Software Engineers
  • Attract, retain, and develop top talent to build a world-class Software Engineering Team
  • Conduct annual and mid-year reviews, reviewing individual development plans and team feedback
  • Foster collaboration with team members to drive consistency across product teams and expose engineers to career interests
  • Act as a proponent of modern software development practices
  • Guide team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participate in and contribute to learning activities around modern software design and development core practices
  • Learn new technologies and best practices through reading, tutorials, and videos
  • Build relationships with technology leaders at other companies to learn best practices and elegant solutions

Required Qualifications

  • Must be eighteen years of age or older
  • Must be legally permitted to work in the United States
  • Mastery of an object-oriented programming language (preferably Java)
  • 5-7 years of relevant work experience
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience)
  • Proven experience in leading data engineering and managing technical teams
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes
  • Mastery of writing SQL queries against a relational database
  • Experience with project management methodologies and tools
  • Exceptional leadership and communication skills
  • Experience with modern product development processes and pipelines
  • Proficient in effective troubleshooting and issue resolution techniques
  • Capable of understanding complicated systems quickly
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen
  • Strong problem-solving skills and attention to detail

Required Skills

  • Leadership
  • Mentoring
  • Coaching
  • Team management
  • Data engineering
  • Software development
  • Object-oriented programming (Java)
  • Cloud infrastructure
  • Data modeling
  • ETL processes
  • SQL
  • Project management
  • Communication
  • Troubleshooting
  • Issue resolution
  • Cross-functional collaboration
  • Business acumen
  • Problem-solving
  • Attention to detail

Benefits & Perks

  • Health care benefits
  • 401K
  • ESPP
  • Paid time off
  • Success sharing bonus

Locations

  • Atlanta, GA, US 30339 (Remote)

Salary

140,000 - 240,000 USD / yearly

Estimated Salary Rangehigh confidence

150,000 - 200,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Leadershipintermediate
  • Mentoringintermediate
  • Coachingintermediate
  • Team managementintermediate
  • Data engineeringintermediate
  • Software developmentintermediate
  • Object-oriented programming (Java)intermediate
  • Cloud infrastructureintermediate
  • Data modelingintermediate
  • ETL processesintermediate
  • SQLintermediate
  • Project managementintermediate
  • Communicationintermediate
  • Troubleshootingintermediate
  • Issue resolutionintermediate
  • Cross-functional collaborationintermediate
  • Business acumenintermediate
  • Problem-solvingintermediate
  • Attention to detailintermediate

Required Qualifications

  • Must be eighteen years of age or older (experience)
  • Must be legally permitted to work in the United States (experience)
  • Mastery of an object-oriented programming language (preferably Java) (experience)
  • 5-7 years of relevant work experience (experience)
  • Bachelor’s degree in computer science, data engineering, or related field (or equivalent experience) (experience)
  • Proven experience in leading data engineering and managing technical teams (experience)
  • Strong knowledge of cloud infrastructure, data modeling, and ETL processes (experience)
  • Mastery of writing SQL queries against a relational database (experience)
  • Experience with project management methodologies and tools (experience)
  • Exceptional leadership and communication skills (experience)
  • Experience with modern product development processes and pipelines (experience)
  • Proficient in effective troubleshooting and issue resolution techniques (experience)
  • Capable of understanding complicated systems quickly (experience)
  • Strong ability to work and influence cross-functionally and demonstrate deep business acumen (experience)
  • Strong problem-solving skills and attention to detail (experience)

Responsibilities

  • Lead large engineering teams and oversee multiple projects
  • Ensure data solutions align with organizational goals and priorities
  • Mentor a large team of data engineers, setting performance goals and overseeing skill development
  • Plan, prioritize, and manage different priorities, resource allocation, and timelines
  • Collaborate with business stakeholders and senior leadership to ensure data strategy supports business objectives
  • Interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to meet business requirements
  • Operate independently with minimum guidance, typically working as part of a team
  • Review data solutions and provide feedback based on best practices
  • Collaborate and pair with product team members to create secure, reliable, scalable software solutions
  • Document, review, and ensure quality and change control standards are met
  • Write custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Work with vendors and partners for successful implementation of critical tooling and platforms
  • Create meaningful dashboards, logging, alerting, and responses to address issues proactively
  • Contribute to enterprise-wide tools for destructive testing, automation, and engineering empowerment
  • Evaluate new technologies for adoption across the enterprise
  • Participate in and lead review board sessions to drive consistency across the enterprise
  • Fill in on product teams for engineers who are out of the office
  • Field questions from engineers, product teams, or support teams
  • Monitor tools and encourage collaboration across product teams
  • Provide application support for software running in production
  • Act as a technical escalation point for the engineers on the team
  • Provide leadership, mentoring, and coaching to Software Engineers
  • Attract, retain, and develop top talent to build a world-class Software Engineering Team
  • Conduct annual and mid-year reviews, reviewing individual development plans and team feedback
  • Foster collaboration with team members to drive consistency across product teams and expose engineers to career interests
  • Act as a proponent of modern software development practices
  • Guide team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participate in and contribute to learning activities around modern software design and development core practices
  • Learn new technologies and best practices through reading, tutorials, and videos
  • Build relationships with technology leaders at other companies to learn best practices and elegant solutions

Benefits

  • general: Health care benefits
  • general: 401K
  • general: ESPP
  • general: Paid time off
  • general: Success sharing bonus

Target Your Resume for "Software Engineering Manager, Enterprise Data and Analytics (Remote)" , The Home Depot

Get personalized recommendations to optimize your resume specifically for Software Engineering Manager, Enterprise Data and Analytics (Remote). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineering Manager, Enterprise Data and Analytics (Remote)" , The Home Depot

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyRetailHome ImprovementTechnology

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