Sr. Manager of Analytics and Data Science

Req

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
* Welcome to Love's:
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.

Job Functions:

Drive Strategic Decision-Making Through Analytics

* 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

Advanced Analytics & Solution Delivery

* Oversees the entire lifecycle of analytics projects, including requirement gathering, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI-enabled solutions

* Ensures analytical solutions are scalable, actionable, and aligned to business objectives while delivering measurable business value

* Establishes best practices that drive consistency, quality, and adoption across analytics initiatives

* Guides teams in balancing technical rigor with practical business application to maximize organizational impact

Team Leadership & Development

* 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

Strategic Analytics Roadmap

* 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

Strengthen Enterprise Partnerships

* 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

Data Governance & Quality

* 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

Innovation & Continuous Improvement

* 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

* Maintain awareness of industry trends and identify opportunities to create value through innovation

Experience and Qualifications:

* Bachelor's degree required in a quantitative or technical field (e.g., data science, statistics, mathematics, computer science, economics, engineering, or operations research);
Master's or PhD strongly preferred

* 8+ years of progressive experience in data science, advanced analytics, or quantitative modeling, including hands-on delivery of machine learning and statistical models in a production environment

* 3+ years of direct people-leadership experience managing and developing teams of data scientists and analysts

* Demonstrated track record of translating ambiguous business problems into analytical…