Title: Senior Manager, Tech-Enabled Operations & Analytics
Location: New York, NY (Hybrid – 4 days onsite)
Salary: $145,000-165,000 base + bonus
Industry: Jewelry
Contact: alley.williams@forsythbarnes.com
This is a full-time position, not eligible for C2C/C2H and not eligible for sponsorship/visa transfer.
About Us
Our client is a fast-growing innovator at the intersection of luxury jewelry, advanced technology, and digital supply-chain transformation. The organization is redefining how the diamond ecosystem connects—from manufacturers to retailers to end consumers—through intelligent platforms, integrated data systems, and next-generation e-commerce infrastructure.
Job Description
We are seeking a Senior Manager, Tech-Enabled Operations & Analytics, a high-impact leader who will drive the digital evolution of planning, forecasting, and operational decision-making. This role blends deep analytical expertise with modern technology, overseeing the roadmap for AI-powered planning, automation, data quality, and advanced insights across operations.
The ideal candidate is both a strategic thinker and a hands-on data leader—comfortable guiding cross-functional teams, managing complex datasets, elevating digital capabilities, and influencing senior executives through actionable, tech-driven insights.
Key Responsibilities
AI, Analytics & Digital Transformation
• Aid in the design and deployment of advanced forecasting models using Python, R, and ML/AI frameworks for demand prediction and inventory optimization.
• Drive the transition from manual, Excel-based processes to automated, cloud-driven planning solutions.
• Partner with Data Science teams to enhance data pipelines, improve data quality, automate workflows, and strengthen systems integration.
• Implement predictive analytics to model customer behaviors, emerging trends, and supply chain risks.
Planning Technology & Systems Ownership
• Oversee the selection, implementation, and optimization of advanced planning platforms (SAP IBP, Anaplan, Blue Yonder).
• Develop governance frameworks to ensure consistent data accuracy, model performance monitoring, and continuous improvement of analytics capabilities.
• Collaborate with technology vendors and cross-functional partners to deliver scalable solutions aligned with the digital roadmap.
Operational Strategy & Integrated Business Planning
• Lead tech-enabled S&OP processes using scenario modeling, digital simulations, and automated reporting.
• Build multi-scenario planning models addressing supply constraints, lead-time variability, and demand volatility.
• Implement inventory optimization algorithms to balance service levels with working-capital efficiency across a global network.
• Direct planning for seasonal launches and luxury-market releases using data-driven insights and machine-learning forecasts.
Leadership & Collaboration
• Manage a hybrid team of analysts, data scientists, and planners (2–3 direct reports), fostering a culture of digital innovation and analytical excellence.
• Mentor team members in advanced analytics, statistical modeling, and AI-enhanced planning methodologies.
• Serve as the primary liaison among operations, analytics, and the executive suite—delivering monthly business reviews and strategic recommendations.
Operational Excellence & Continuous Improvement
• Implement automation, process optimization, and technology-driven efficiencies to reduce cycle times.
• Champion Lean, Six Sigma, and digital best practices to streamline planning workflows.
• Create early-warning and monitoring systems for proactive identification of demand or supply disruptions.
• Lead crisis-response planning using real-time data and scenario tools.
Requirements:
• Bachelor’s degree in engineering, Data Science, Supply Chain, Operations Research, Business, or related technical field.
• 10+ years in operations planning, supply chain analytics, or analytics-focused planning roles.
• 3+ years managing technical or analytical teams.
• Expertise in digital transformation, system implementations, and automation.
• Advanced skills in Python, R, SQL, and statistical modeling.
• Strong experience with BI tools (Power BI, Tableau) and cloud data platforms (Snowflake, BigQuery preferred).
• Experience with planning systems (SAP IBP, Anaplan, Blue Yonder) and ERP tools (SAP/Oracle).
• Familiarity with AI/ML applications in forecasting and operations.
• Strong communication skills, with experience presenting to VP and C-suite audiences.
• Experience in luxury goods, premium consumer brands, or high-complexity DTC environments preferred.
• APICS/ASCM, Lean Six Sigma, analytics, or data-science certifications are a strong plus.
• Ability to translate data into strategy, influence leaders, and guide change in fast-paced, evolving environments.
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