Data Program Manager

Data Program Manager

Role Purpose

We are seeking an accomplished Data Program Manager to lead a complex, cross functional enterprise data transformation initiative focused on improving data maturity across the company. This role will partner closely with divisional and functional Data Management Offices (DMOs), business leaders, and IT teams to drive execution of a broad portfolio of data initiatives spanning data strategy, data governance, data quality, data stewardship, data architecture, and data integration.

The Data Program Manager will be responsible for orchestrating a high visibility program that enables stronger data foundations, clearer ownership and accountability, improved quality and trust in critical data, and scalable data capabilities that support business transformation. This role requires exceptional program delivery expertise, the ability to lead global matrixed teams, and a strong track record of driving execution across business, technical, and vendor stakeholders.

While experience in enterprise data management is strongly preferred, success in this role will depend on the ability to establish structure, drive alignment, manage interdependencies, and deliver outcomes in a fast paced and evolving environment.

Key Responsibilities

• Lead and coordinate enterprise data transformation initiatives across business and IT
• Partner with enterprise, divisional, and functional teams to align priorities and roadmaps
• Manage program plans, milestones, dependencies, risks, issues, and resources
• Drive governance routines, leadership reporting, and steering committee updates
• Ensure alignment between business needs, data capabilities, and technology solutions
• Apply Agile or hybrid delivery practices across teams and workstreams
• Track program KPIs, outcomes, and executive-level status updates
• Support implementation of data governance, stewardship, and quality processes
• Coordinate global teams, vendors, and implementation partners
• Help define sustainable data management processes and operating models

Requirements

• Bachelor’s degree in IT, Information Systems, Engineering, Business, or related field

• 5+ years of experience leading large-scale programs or transformation initiatives

• Strong experience in cross-functional, global, and matrixed environments

• Solid background in program planning, risk management, dependency management, and executive reporting

• Experience with Agile/hybrid methodologies (e.g. SAFe)

• Strong communication, stakeholder management, and leadership skills

• Proficiency with tools like Jira, Confluence, Microsoft Project

• Preferred Qualifications

• Experience with data-focused programs such as data governance, data quality, MDM, metadata, or data platform modernization

• Familiarity with tools such as Alation, SAP MDG, Databricks

• Experience in digital transformation, ERP modernization, or enterprise change programs

• Knowledge of core data management concepts such as stewardship, ownership, metadata, master data, and integration

• PMP, PgMP, SAFe, PMI-ACP, Scrum, or similar certification

• A job that shapes a life.

• Corning offers you the total package.

• Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.

• Our health and well-being benefits include medical, company-paid life insurance, and an Employee Assistance Program to support you and your family.

• Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.

• Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws.