Business Intelligence (BI) Manager

Requisition Number: 73106

 

The company built on breakthroughs. ​  
Join us.​    

                                                                          

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.  ​  

 

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

 

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

 

​Come break through with us.  

 

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

 

Role Purpose

 The Data Owner – Supply Chain Domain is accountable for the end‑to‑end analytics and data product ecosystem supporting Corning’s global Supply Chain organization. This role ensures that supply chain data products, curated datasets, KPIs, and analytics are trusted, governed, adopted, and continuously improved — not just built.

This position is critical for enabling decision velocity, strengthening data quality and consistency, and driving adoption of analytics across source, make deliver and plan.

 

Key Responsibilities

1. Data Product Ownership & Solution Definition

• Own the Supply Chain Data Product backlog, including datasets, models, and analytics.
• Translate stakeholder needs into prioritized requirements: clearly define the problem, decision, KPI, grain, latency, and quality bar.
• Guide Data Engineering, BI, and Decision Intelligence teams to deliver aligned, governed solutions.
• Manage tradeoffs (speed vs. quality vs. scope) transparently.
• Maintain a “Now / Next / Later” roadmap with quarterly outcomes.

2. Adoption, Enablement & Internal Product Marketing

• Own the enablement strategy for supply chain analytics.
• Deliver scalable training assets: onboarding guides, “how to use this report” videos, quick‑reference cards, roadshows, lunch‑and‑learns, and monthly “what’s new.”
• Host office hours and build a community of power users across plants, planning, logistics, and procurement.

3. Analytics/Reporting Portfolio Leadership

• Own the Supply Chain analytics/reporting portfolio across platforms (Power BI, SAP BW, Excel, etc.).
• Ensure clear ownership, purpose, decision context, and lifecycle management for every workspace, dashboard, and report.
• Drive rationalization, reduce duplicates, and improve KPI consistency.
• Review usage analytics, adoption trends, and decision impact.

4. Data Quality, Lineage & “Fit‑for‑Decision” Transparency

• Ensure reports declare data sources, refresh cadence, lineage, and data quality status.
• Define and maintain quality expectations for curated datasets feeding the portfolio.
• Partner with Data Engineering on quality controls, SLAs, and monitoring.
• Create and own a practical “fit‑for‑decision” rubric for executive, operational, and daily decision-making contexts.

5. Governance Cadence & Operational Responsibilities

• Maintain Supply Chain Data Domain inventory, ownership matrix, and support model.
• Run governance cadences:
• Portfolio Review
• Data Product Backlog Grooming
• Data Quality & Incident Review
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