Sr. Manager of Analytics and Data Science

Benefits:

• Fuel Your Growth with Love's - company funded tuition assistance
• Paid Time Off
• 401(k) – 100% Match up to 5%
• Medical/Dental/Vision Insurance the first of the month after 30 days
• Competitive Pay
• Career Development

The Senior Manager of Analytics & Data Science leads teams of analytics and data science professionals responsible for delivering enterprise-wide insights, advanced analytics, and scalable solutions that drive strategic decision‑making across the organization. This leader partners closely with business and technology stakeholders to identify opportunities, solve complex business challenges, and deliver measurable business impact through data.

• Partner with leaders across the organization to identify opportunities where analytics can improve business performance and support strategic objectives
• Translate complex business questions into actionable analytical approaches and measurable outcomes
• Deliver insights and recommendations that influence decision‑making at all levels of the organization
• Promote the use of data and analytics as strategic assets across the enterprise

• Oversee the entire lifecycle of analytics projects, including requirement gathering, development, validation, deployment, and monitoring of advanced analytics, machine‑learning, and AI‑enabled solutions
• Ensure analytical solutions are scalable, actionable, and aligned to business objectives while delivering measurable business value
• Establish best practices that drive consistency, quality, and adoption across analytics initiatives
• Guide teams in balancing technical rigor with practical business application to maximize organizational impact

• Build and scale a high‑performing data science & analytics organization, defining roles, career paths, and operating norms that attract and retain top analytical talent
• Lead a team of data scientists, seen as trusted advisors, known for proactive insights and creating thought leadership
• Foster a culture of curiosity, accountability, analytical rigor, experimentation, and continuous improvement
• Collaborate cross‑functionally with Customer Experience, FP&A, and Data Engineering to deliver comprehensive solutions
• Provide coaching, performance management, and career development opportunities that support employee growth and engagement
• Establish clear priorities and create an environment that enables teams to perform at their highest level

• Define and evolve the enterprise analytics roadmap in alignment with organizational priorities
• Evaluate and prioritize initiatives to maximize business impact and resource effectiveness
• Balance short‑term business needs with long‑term capability development
• Identify opportunities to expand analytics capabilities and increase organizational value

• Develop trusted relationships with stakeholders across operations, finance, marketing, merchandising, customer experience, technology, and other business functions
• Align analytics investments with enterprise priorities and strategic goals
• Facilitate collaboration between analytics, technology, and business teams to maximize impact
• Effectively communicate complex analytical concepts to technical and non‑technical audiences, including senior leadership

• Partner with technology and data teams to improve data quality, governance, accessibility, and trustworthiness
• Advocate for data standards and best practices that support enterprise analytics
• Ensure analytical solutions are built on reliable, well‑governed data foundations
• Promote confidence and trust in analytical outputs across the organization

• Champion the adoption of emerging analytics, automation, and AI‑enabled capabilities that improve business outcomes, accelerate insight generation, and enhance team effectiveness
• Encourage experimentation and continuous improvement in analytical approaches and methodologies
• Partner with technology teams to evaluate and apply emerging capabilities that enhance analytics effectiveness
• Ma…