Job Description

Title: Senior Manager Tech-Enabled Operations & Analytics

Industry: Jewelry & Retail

Salary: $145,000 - $165,000 + Bonus

Contact: alley.williams@forsythbarnes.com

This position is not available for C2C or C2H. The client is unable to sponsor at this time.

Senior Manager, Tech-Enabled Operations & Analytics

Our client is a fast-growing innovator transforming the luxury jewelry and diamond supply chain through advanced technology and intelligent digital platforms.

We’re looking for a Senior Manager, Tech-Enabled Operations & Analytics to lead the modernization of forecasting, planning, and operational decision-making. This role blends strategy, data science, and hands-on technology leadership to drive AI-powered insights and digital transformation across the business.

What You’ll Do

• Lead the digital evolution of end-to-end supply chain planning , moving from manual processes to automated, cloud-based, AI-enabled workflows.
• Build and enhance forecasting, demand planning, and inventory optimization models using Python/R/ML to improve accuracy and responsiveness.
• Own and optimize advanced planning systems ( SAP IBP, Anaplan, Blue Yonder ) to strengthen supply, demand, and inventory alignment.
• Drive a tech-enabled S&OP / IBP process , including scenario modeling, capacity and constraint planning, and automated performance reporting.
• Partner with Data Science and Operations to improve data quality, planning workflows, and system integrations across the supply chain.
• Develop digital tools for multi-scenario planning , supporting seasonal launches and high-variability demand environments.
• Deliver actionable planning insights and recommendations to senior leadership; lead and mentor a small analytics and planning team.
• Champion continuous improvement, automation, and supply chain best practices to improve service, reduce risk, and optimize working capital.

What We’re Looking For

• 7+ years in planning, operations, or supply chain analytics; 3+ years leading technical teams.
• Strong expertise in Python/R/SQL, statistical modeling, BI tools (Power BI/Tableau), and cloud data platforms (Snowflake/BigQuery).
• Experience with advanced planning systems and ERP tools.
• Background in digital transformation, automation, and AI/ML forecasting.
• Excellent communicator comfortable presenting to VP/C-suite stakeholders.
• Experience in luxury or high-complexity consumer environments is a plus.
• Relevant certifications (APICS/ASCM, Lean Six Sigma, analytics/data science) preferred

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