Data Owner - Supply Chain Domain

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
• Approve or reject new reports/datasets based on adoption, duplication risk, KPI alignment, documentation completeness, and value.
• Escalate systemic issues (KPI conflicts, source system limitations, ownership gaps).

Experience / Education – Required

• Bachelor’s degree in Supply Chain, Information Systems, Analytics, Engineering, or equivalent.
• 5+ years in Supply Chain analytics, reporting, or data governance roles.
• Hands-on experience with enterprise analytics/reporting tools (Power BI, Databricks, Snowflake, SAP BW, Excel-based reporting).
• Strong Supply Chain domain expertise and ability to connect KPIs to real decisions and operating rhythms.
• Practical experience with enterprise analytics technologies (e.g., Power BI, SAP BW, SQL-based platforms).

Experience / Education – Required

• Portfolio/product ownership mindset (prioritization, lifecycle, adoption).
• Familiarity with data engineering concepts, data platforms, and governance frameworks
• Strong communication and stakeholder leadership skills; ability to simplify technical topics.
• Strong stakeholder leadership, governance discipline, and ability to drive clarity.

This position does not support immigration sponsorship.  

The range for this position is $141,734.00 - $194,884.00 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. 

A job that shapes a life.  

Corning offers you the total package.  

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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.