Senior Manager, eCommerce & Digital Analytic

Home Depot; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company seeks a Sr Manager of eCommerce & Digital Analytics to elevate its online growth agenda. You will lead a team in building data pipelines, optimizing digital tools, and ensuring effective collaboration across departments. This role requires excellent analytical skills and a strong background in data management, offering an opportunity to drive significant impact on business performance.

Qualifications

• Expertise in data analysis to identify business insights.
• Experience in managing and developing teams.
• Strong skills in translating strategy into execution.

Responsibilities

• Drive online growth by enhancing digital products.
• Lead team of Data Engineers and oversee project management.
• Collaborate with various departments to align analytics initiatives.

Skills

Data Analysis

Team Management

Collaboration

Presentation Skills

Project Management

Strategic Thinking

Education

Bachelor's degree in a related field

Master's degree in a quantitative field (preferred)

Tools

BigQuery

Python

R

SQL

Adobe Analytics

Tableau

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Sr Manager of eCommerce & Digital Analytics will own the company’s online growth agenda—driving feature adoption across all customer-facing digital products—while partnering with Customer Experience, Marketing, Finance, Supply-Chain, and IT to align initiatives with enterprise priorities. Beyond establishing data governance and standardizing best-practice analytics, this leader elevates the organization to a modern, self-serve model where stakeholders can use automated dashboards for insight. One of the key responsibilities is quantifying—and relentlessly improving—the conversion impact of site features like search-algorithm tweak, product-recommendation slot, page-speed gain, or checkout-flow refinement is A/B-tested, instrumented down the funnel, and expressed in clear metrics. By attributing lift to individual enhancements and forecasting margin benefits, the role ensures resources flow to the highest-ROI improvements. Overseeing a team fluent in BigQuery, Python/R, SQL, Adobe Analytics, and Tableau, the Sr Manager builds data pipelines that cleanse and integrate clickstream, transaction, and customer-profile data, then translates complex behavior patterns into board-ready KPI narratives and predictive models that steer assortment, pricing, and marketing spend. The result is a virtuous cycle of insight-led experimentation, faster decision-making, and sustained gains in conversion, revenue, and profitability across every online touchpoint.

Key Responsibilities:

• 10% - 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.
• 10% - Communicating Results - Present analytics outcomes to enterprise leadership. Advocate for the team and their work.
• 40% - People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Engineers (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team’s results and celebrate accomplishments.
• 15% - Project Management & Team Support - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts.
• 25% - Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage and advocate for team’s skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable the team to be most effective in executing their roles; Collaborate with other data team managers across the organization to establish high level strategy and optimize talent management.

Direct Manager/Direct Reports:

• This position reports to the Director or Above
• This position has 4-5 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.
• Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems.
• Experience managing and growing team members in a professional setting.
• Demonstrated experience with translating high level strategy to tactical execution.

Preferred Qualifications:

• Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience
• Working knowledge of Microsoft Excel and Power Point
• Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
• Produce deep, statistical analysis in service of predictive insights
• Ability to partner with requesting organizations to build KPI frameworks
• Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML
• Ability to visualize data using Tableau

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:

• 7

Preferred Years of Work Experience:

• 8

Minimum Leadership Experience:

• No previous leadership experience

Preferred Leadership Experience:

• 1+ year of previous leadership experience

Certifications:

• None

Competencies:

• Decision Quality
• Collaborates
• Drives Engagement
• Ensures Accountability
• Plans and Aligns
• Communicates Effectively
• Customer Focus
• Develops Talent
• Drives Results