Lead Analyst-Data Governance and Quality

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Lead Analyst will stand up data governance and data quality processes across the organization’s data products. This is an individual-contributor role for someone who can build structure where little exists today — defining how changes to data definitions, schemas, and pipelines are proposed, reviewed, and communicated, and partnering directly with Data Product and Engineering teams to prioritize and resolve data quality issues.A core focus of the role is designing and building an automated audit process that continuously monitors data quality across data products, detecting and flagging issues proactively rather than relying on manual review. You will also establish and own the communication channels that keep stakeholders informed of upcoming changes, active issues, and resolution status. Success means these processes are adopted well beyond your own team, driven through structured frameworks, automation, and strong cross-functional relationships with teams outside your direct authority. Key Responsibilities: 20% - Business Collaboration - Leverage extensive business knowledge into solution approach. Effectively develop trust and collaboration with internal customers and cross-functional teams. Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics. 25% - Project Management & Team Support - Lead and manage large and complex projects and teams. Provide direction on prioritization of work and ensure quality of work. Collaborate with managers and team in the distribution of workload and resources. Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics. Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics. Ensure the team comprehends and applies the established processes and standards and mentor team on development. 30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners. Clearly communicate impacts of recommendations to drive alignment and appropriate implementation. Develops solutions to transform data into useful, actionable information​. 25% - Technical Exploration & Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs. Provide technical education on advanced analytics to analytics community. Drive analytics teams to get matured in predictive and prescriptive analytics. Direct Manager/Direct Reports: This position reports to the Senior Manager or Above This position has 0 direct reports 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 18 years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Data Governance & Change Management: Experience designing and standing up change management processes for data products — defining how changes to data definitions, schemas, and pipelines are proposed, reviewed, and communicated. Data Quality Auditing & Automation: Proven ability to design and build automated audit processes that continuously monitor data quality and proactively detect and flag issues, rather than relying on manual review. Data Pipelines & SQL: Solid working knowledge of data pipelines, schemas, and data definitions, with strong SQL skills to investigate and diagnose data quality issues. Automation & Scripting: Comfort building lightweight automation (e.g., Python) to power monitoring, audits, and reporting rather than manual, one-off checks. Cross-Functional Partnership & Influence: Demonstrated ability to partner with Data Product and Engineering teams to prioritize and resolve data quality issues, and to drive adoption of new processes across teams outside formal authority. Stakeholder Communication: Ability to establish and run clear, reliable communication channels that keep stakeholders informed of upcoming changes, active issues, and resolution status.• Process & Framework Design: Track record of building structured, repeatable frameworks — rather than one-off fixes — that scale governance and quality practices across many data products. Metrics & Reporting: Ability to define and track data quality metrics and audit results, and to report trends and risk areas clearly to leadership and stakeholders 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: The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job. Minimum Years of Work Experience: 6 Preferred Years of Work Experience: 7 Minimum Leadership Experience: No previous leadership experience Preferred Leadership Experience: No previous leadership experience Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Develops Talent Drives Results Manages Conflict