Senior Manager, Tech-Enabled Operations & Analytics (Ref: 193585)

Title:
Senior Manager Tech-Enabled Operations & Analytics

Industry:
Jewelry & Retail

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

Contact:

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