Atlanta, GA, US
1 day ago
Senior Manager, eCommerce & Digital Analytic

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 AboveThis 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 experienceWorking knowledge of Microsoft Excel and Power PointManage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizationsProduce deep, statistical analysis in service of predictive insightsAbility to partner with requesting organizations to build KPI frameworksAbility to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoMLAbility 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 QualityCollaboratesDrives EngagementEnsures AccountabilityPlans and AlignsCommunicates EffectivelyCustomer FocusDevelops TalentDrives Results
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