Analytics Manager Jobs in Fort Mill, SC (NOW HIRING)

Requisition Number: 76985

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Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Position Summary

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, DMO, and OCS Planning & Analytics standards. The Manager leads a team of analytics and data engineering professionals and serves as the primary business owner for transforming OFC data into actionable insights that improve operational performance, decision quality, and business outcomes. The function will initially focus on reporting, Databricks, and planning analytics capabilities while building the foundation for future AI, machine learning, and Copilot-enabled solutions.

Key Accountabilities

1. Develop and Execute the OFC Analytics Vision

Establish and lead 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, identify capability gaps, and create a roadmap that enables scalable decision support across the organization.

Ensure analytics investments align with OFC growth, cost, risk, and operational objectives

2. Lead Reporting Governance and Analytics Standards

Serve as the governance authority for OFC reporting and business intelligence solutions

Develop and maintain standards for Power BI architecture, report development, KPI design, workspace management, security, documentation, testing, deployment, and support

Establish consistent user experience across all reporting platforms and ensure analytics solutions are scalable, maintainable, and aligned with enterprise standards

Drive reporting simplification through KPI standardization and retirement of redundant solutions

3. Own Analytics Intake, Prioritization, and Portfolio Management

Create and manage a global intake and prioritization process for analytics, reporting, and planning requests

Serve as the owner for Reporting-related entries within the OFC Digital Priority List (DPL), ensuring requests are evaluated, prioritized, governed, and resourced consistently

Balance operational support requirements with transformational analytics initiatives while aligning demand to available capacity and business value

4. Lead Data Engineering and Databricks Enablement

Provide leadership and direction for data engineering resources supporting OFC analytics initiatives

Establish standards and governance for Bronze, Silver, and Gold data structures within Databricks while ensuring data quality, scalability, and reusability across reporting solutions

Drive modernization of analytics architecture and promote use of governed enterprise data assets rather than localized data extracts or spreadsheets

Build a sustainable foundation capable of supporting future advanced analytics and AI initiatives

5. Build Organizational Capability and Deliver Business Value

Lead, develop, and mentor a team of reporting analysts, Power BI developers, and data engineers across the organization

Establish the Planning & Analytics team as the center of excellence for analytics, reporting, KPI design, and planning support

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

Required Qualifications

• 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 across multiple organizational levels
• Demonstrated ability to establish governance structures, operating standards, and scalable business processes

Desired Experiences

• 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

This position does not support immigration sponsorship.  

The range for this position is $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

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We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.