Solutions Architect Manager

The Home Depot•Atlanta, GA

About The Position

The Solutions Architect Manager helps design, implement, and optimize solutions for data collection and analytics. The role combines technical expertise, customer communication, and strategic problem-solving, including advising customers or internal teams, designing scalable architectures, translating business needs into technical solutions, explaining complex technical concepts clearly, and supporting analytics data collection. Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specifications that translate business requirements into databases, data warehouses, and data streams. They work closely with engineers to capture internal customers’ data needs; analyze, plan, and define data architecture frameworks, including security, reference data, metadata, and master data; and create and implement data management processes and procedures to ensure data accuracy and accessibility. The manager leads and develops Data Architects, manages project requests and programs, aligns team strategy and resources with business needs, and provides guidance on data collection, classification, analytics, and complex application development. The position typically reports to a Senior Manager or above and has 3–4 direct reports. Travel is typically overnight and less than 5% to 20% of the time. The role is primarily performed in a comfortable indoor area, with most time spent sitting and occasional movement; rarely, light articles may need to be moved or lifted.

Requirements

  • Must be at least 18 years of age.
  • Must be legally permitted to work in the United States.
  • Previous people or project team management experience.
  • At least 6 years of work experience.
  • Bachelor’s degree or equivalent in a field related to the job, or the knowledge, skills, and abilities typically acquired through completing such a degree program.
  • Demonstrated proficiency guiding junior team members in database architecture framework definition, database requirements development, and implementation of data management procedures.
  • Proficiency writing specifications and requirements.
  • Knowledge of the business sufficient to support stakeholder data needs.
  • Mastery using data software such as GCP Big Query, Adobe Analytics/CJA, or SQL.

Nice To Haves

  • Master’s degree in a quantitative field such as analytics, computer science, mathematics, physics, statistics, or management, or relevant work experience.
  • Experience or understanding of Adobe Analytics/CJA.
  • Experience configuring analytics tools for site tagging.
  • Experience supporting infrastructure for clickstream data, including social media impression data on the marketing side.
  • At least 7 years of work experience.
  • At least 1 year of leadership experience.

Responsibilities

  • Lead, mentor, coach, and evaluate Data Architects’ performance, execution, and contributions.
  • Attract, retain, and develop talent; support team members’ business knowledge and technical skills through development plans and progress assessments.
  • Document appropriate processes and job-specific requirements, and develop technical and soft-skills onboarding and training plans.
  • Manage resources to align with strategic initiatives and business needs, foster team collaboration, and drive and celebrate team results.
  • Support the team in designing and developing algorithms and models for large datasets to create business insights.
  • Manage internal customer requests for site features and tagging; prioritize and assign projects while balancing funding, return on investment, innovation, and other factors.
  • Manage team programs to support consistent execution, resource balance, and quality solutions.
  • Collaborate with program managers and business partners to align objectives and expectations and ensure project delivery.
  • Serve as an escalation point for project issues and provide executive updates on program effectiveness, team accomplishments, findings, recommended solutions, and impacts.
  • Provide enterprise guidance on campaign setup and taxonomy use; identify business opportunities for the team’s capabilities and build collaboration with internal customers and cross-functional teams.
  • Align team practices with IT support models, collaboration, tools, and governance; work with other data team managers on strategy and talent management.
  • Architect, tag, validate, and support data collection and classification for reporting needs, and guide proper setup for consuming data into databases.
  • Guide project teams through requirements gathering, design, and development of complex applications and programs.
  • Help analytics teams mature their predictive and prescriptive analytics capabilities and engage academic and industry experts to advance analytics applications to business problems.
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