Senior Director, Data Science - Marketing

Sr. Director, Data Science

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

The Sr. Director, Data Science is a strategic leader responsible for defining and executing the data science vision that powers The Home Depot's Core Marketing and Retail Media organizations. This role partners closely with Marketing, Retail Media+, Customer Analytics, Product, Technology, Finance, and Business stakeholders to drive measurable growth in customer acquisition, engagement, personalization, media effectiveness, and revenue generation through advanced analytics, machine learning, and AI-driven solutions.

The Sr. Director will lead a high-performing team of data scientists responsible for developing predictive models, customer segmentation strategies, marketing measurement frameworks, attribution methodologies, experimentation programs, and media optimization solutions. This leader will translate complex business challenges into scalable analytical strategies that improve marketing performance, customer experience, and return on advertising spend.

As a Sr. Director, this role establishes the long-term data science roadmap for Marketing and Retail Media, influences executive decision-making through data-driven insights, and collaborates across the organization to ensure alignment with enterprise goals. The Sr. Director is accountable for delivering significant business impact through analytics innovation, talent development, operational excellence, and disciplined investment prioritization. This role also oversees governance, measurement standards, and value realization frameworks to ensure data science initiatives deliver measurable business outcomes and return on investment.

Key Responsibilities:

• 40% - Data Science Advocacy
  - Collaborate with business leaders and executive level leaders to align on objectives and expectations;
  Serve as escalation point for any issues or difficulties with specific projects or initiatives;
  Champion data science capabilities and new skills to continually identify ways to impact the business;
  Define effective metrics to understand the high-level performance against business goals
• 20% - People Management & Team Leadership
  - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution;
  Establish a clear vision for the team and influence reach with business partners;
  Attract, retain and develop top talent to build an effective and high performing teams;
  Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress;
  Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team;
  Foster collaboration and alignment between different data science roles to develop a supportive and engaged team;
  Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach;
  Drive team's results and celebrates accomplishments
• 40% - Strategy & Business Development
  - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills;
  Ensure a successful operating model and cost structure for Data Science is developed and leveraged across the enterprise to standardize ROI calculations and project/team funding;
  Effectively develop trust and collaboration with internal customers and cross-functional teams;
  Support data science research and innovation efforts that can serve as competitive advantage for the enterprise;
  Develop an integrated data science vision and end-to-end strategy;
  Drive adoption of leading-edge data science techniques and methods, both predictive and prescriptive

Minimum Qualifications:

• Must be at least 18 years old
• Must be legally permitted to work in the United States