Manager, Digital Planning & Analytics

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. Our Optical Communications segment provides industry-leading optical solutions across the broader communications industry, divided into carrier network and enterprise network product groups.

About the role

The Manager, Planning & Analytics is responsible for defining and executing the OFC Supply Chain analytics strategy across global fiber and cable operations. This role leads the Planning & Analytics function, providing strategic direction, organizational leadership, and governance for reporting, analytics, data engineering, and decision-support capabilities. The position owns the vision, standards, and roadmap for OFC reporting and analytics, including Power BI, Databricks, KPI governance, scenario modeling, and planning analytics. The role establishes standardized processes for intake, prioritization, development, and deployment of analytics solutions while ensuring alignment with enterprise standards. The Manager leads a team of analytics and data engineering professionals to transform OFC data into actionable insights that improve operational performance, decision quality, and business outcomes.

Responsibilities

• Develop and execute the multi-year strategy for planning, reporting, analytics, and data enablement across OFC Supply Chain.
• Partner with operational leaders, SIOP teams, PSCMs, DMO, OCS Planning & Analytics, and Digital Products & Platforms to define business priorities and create a roadmap for scalable decision support.
• Serve as the governance authority for OFC reporting and business intelligence solutions, establishing standards for Power BI, KPI design, and workspace management.
• Drive reporting simplification through KPI standardization and retirement of redundant solutions.
• Create and manage a global intake and prioritization process for analytics, reporting, and planning requests.
• Lead data engineering and Databricks enablement, establishing standards for data structures and promoting modernization of analytics architecture.
• Build organizational capability by leading, developing, and mentoring a team of reporting analysts, Power BI developers, and data engineers.
• Promote adoption of best practices in data visualization, business intelligence, scenario modeling, and analytical storytelling.
• Define measurable business outcomes, track value realization, and ensure delivered solutions drive sustained operational improvements.

Requirements

• Bachelor’s degree in Supply Chain, Business, Engineering, Analytics, Information Systems, Computer Science, or related discipline.
• 8+ years of experience in analytics, business intelligence, planning systems, supply chain, digital transformation, or related fields.
• 3+ years of people leadership experience managing analysts, technical professionals, or cross-functional teams.
• Demonstrated experience leading enterprise reporting, business intelligence, or analytics programs.
• Experience with Power BI, data modeling, KPI design, and business intelligence governance.
• Experience working across manufacturing, planning, logistics, inventory management, or supply chain functions.
• Strong communication and stakeholder management skills with the ability to influence leaders and business partners.
• Demonstrated ability to establish governance structures, operating standards, and scalable business processes.

Preferred Qualifications

• Experience with Databricks, lakehouse architecture, cloud-based analytics platforms, or modern data engineering practices.
• Experience leading reporting centers of excellence, analytics functions, or enterprise data governance programs.
• Working knowledge of SAP, MES, APS/IBP, data warehouses, and supply chain data structures.
• Experience supporting executive dashboards, scenario modeling, forecasting, and SIOP processes.
• Experience implementing AI, machine learning, predictive analytics, or Copilot-enabled business solutions.

Pay

The range for this position is $126,898.00 - $174,486.00 assuming full-time status. Starting pay for the successful applicant depends on geographic location, market demands, experience, training, and education.

Benefits

• Company-wide bonuses and long-term incentives aligned with business performance.
• 100% company-paid pension benefit with fixed contributions that grow throughout your career, plus matching 401(k) contributions (totaling 7%–12% of pay).
• Comprehensive health and well-being benefits, including medical, dental, vision, paid parental leave, family building support, fitness, and an Employee Assistance Program (EAP).
• Company-paid life insurance and disability coverage.
• Disease management programs and paid time off.
• Recognition program to celebrate and reward exceptional contributions.