Sr. Manager, Operations Intelligence & AI

Tory Burch•Jersey City, NJ

4d•$140,000 - $180,000

About The Position

We are an American luxury lifestyle brand, founded in 2004. Anchored in the casual elegance of American sportswear, Tory’s design philosophy is defined by effortless silhouettes, innovative materials, eclectic juxtapositions of color, and the tension of past and present. The collections include ready-to-wear, handbags, footwear, accessories, jewelry, home and beauty. Empowering women is the company’s guiding principle, expressed through Tory’s collections and reflected in the company culture as well as the work of the Tory Burch Foundation. Established in 2009, the Foundation provides women entrepreneurs in the United States with access to capital, education and community. You are seeking a work environment where people are encouraged to dream, explore, discover and, as important, laugh together. If you’re prepared to work hard, create impact, and have fun while doing it, we would love to have you join #TeamTory. Apply today! This Role is Tailor-Made for You Because: You are passionate about using data, analytics, automation, and artificial intelligence to solve complex business challenges and improve operational performance. You enjoy partnering across business and technology teams to translate strategic priorities into scalable reporting, process improvement, and AI-enabled solutions. You thrive balancing strategic thinking with hands-on execution, leveraging data and emerging technologies to drive visibility, productivity, and decision-making across the organization. A sense of humor is a plus!

Requirements

Bachelor's degree in Business, Supply Chain, Information Systems, Data Analytics, Computer Science, Engineering, or a related field.
10+ years of experience in analytics, business intelligence, reporting, automation, process improvement, or related business technology disciplines.
Strong experience developing and supporting business intelligence, reporting, dashboarding, or analytics solutions.
Hands-on experience with Tableau, Power BI, Excel, and SQL or similar data querying tools.
Experience gathering business requirements and translating them into technical specifications, data requirements, solution designs, or reporting frameworks.
Working knowledge of data modeling, reporting architecture, systems integration concepts, data governance, and business rules management.
Experience partnering with business stakeholders, Technology, and cross-functional teams to deliver scalable business solutions.
Strong communication and presentation skills with the ability to explain technical concepts to non-technical audiences.
Demonstrated ability to balance strategic solution design with hands-on execution and delivery.

Nice To Haves

Experience with Google Cloud Platform, Looker, or similar data and visualization platforms.
Experience with Microsoft Copilot, Copilot Studio, Power Platform, or Power Automate is preferred.
Experience developing or supporting AI, automation, or intelligent workflow solutions.
Retail, Supply Chain, Distribution, Logistics, or Operations experience is preferred.
Experience supporting technology implementations, data initiatives, or digital transformation programs.

Responsibilities

Serve as the primary liaison among business stakeholders, Technology, and data teams, ensuring that business needs are accurately translated into scalable reporting, analytics, automation, and AI-enabled solutions.
Support the Sr. Director, Operations Reporting & Analytics in shaping the department’s reporting and AI roadmap, backlog prioritization, adoption, and lifecycle management of analytics, automation, and AI solutions.
Own the business-side execution of approved changes, translating business requirements and Technology direction into usable reporting, analytics, automation, and AI-enabled solutions.
Develop and maintain business data models, reporting frameworks, metric definitions, information hierarchies, and business rules that support reporting and analytics.
Document data flows, source systems, business rules, and reporting dependencies to improve transparency and reduce technical debt within the department.
Identify gaps within existing data and reporting environments and recommend scalable solutions that improve data quality, operational visibility, and long-term department capabilities.
Participate in Logistics & Distribution capability planning while maintaining clear ownership of operations reporting, analytics, automation, and AI deliverables.
Identify and implement AI, automation, and intelligent workflow opportunities that streamline Logistics & Distribution processes and improve operational productivity.
Build, configure, and maintain Copilot agents, Power Platform solutions, automations, and other AI-enabled business tools within approved platforms and standards.
Evaluate and prioritize Logistics & Distribution AI use cases based on business value, operational impact, and scalability.
Support responsible AI governance, adoption, training, and value realization within the department.
Develop metrics that measure productivity gains, cost savings, adoption, and business outcomes from automation and AI investments.
Partner with Technology and business teams to operationalize governed AI solutions at scale.
Design, develop, and maintain executive dashboards, KPI scorecards, and operational reporting solutions that enable data-driven decision-making across Logistics & Distribution as well as Supply Chain, Retail, and Finance partners.
Translate stakeholder requirements into a prioritized pipeline of reporting and analytics deliverables.
Develop scalable Tableau and Power BI solutions that support self-service analytics and leadership decision-making.
Perform trend, performance, and root-cause analyses to identify risks and improvement opportunities.
Create leadership-ready visualizations, presentations, and business insights that support strategic and operational decisions.
Automate recurring reporting and expand timely access to reliable business insights across the organization.
Lead cross-functional process improvements that increase efficiency, scalability, and operational performance.
Translate analytical findings into process recommendations and implementation plans.
Develop business cases, ROI analyses, and investment recommendations for technology and process improvement initiatives.
Research emerging technologies and evaluate their applicability to current and future business challenges.
Conduct proof-of-concept efforts and pilot approved capabilities that drive competitive advantage.
Establish reusable methods and best practices that support the scalable delivery of analytics and AI capabilities.