Data & Digital Enablement Engineer

Corning•Austin, TX
•$97,542 - $134,121

About The Position

Corning’s Optical Communications segment provides optical solutions across the communications industry, serving carrier and enterprise networks. The Data & Digital Enablement Engineer will lead the data and digital enablement capability for Optical Connectivity Solutions Division Engineering. The role will shape how Division Engineering uses data to make faster, better decisions by building trusted data products and governed analytics and equipping teams to create their own insights. The work will improve portfolio visibility, resource planning, and operational efficiency.

Requirements

  • Bachelor’s degree in engineering, computer science, information systems, data/analytics, or a related technical discipline; equivalent relevant experience may be considered.
  • At least 5 years of relevant experience in engineering, manufacturing, analytics, business systems, portfolio management, or digital process improvement.
  • Advanced Power BI skills, including DAX, Power Query, dimensional modeling, and semantic models.
  • Hands-on experience building and supporting production solutions with Power Apps, Power Automate, SharePoint, and Microsoft 365.
  • Working knowledge of SQL and Databricks or a comparable analytics platform.
  • At least 2 years of experience independently leading complex technical workstreams or programs across multiple functions.
  • At least 2 years of experience with data architecture and governance concepts, including data modeling, lineage, systems of record, and data quality.
  • At least 2 years of experience coaching users, designing training, and building self-service analytics programs.

Nice To Haves

  • Advanced degree or relevant technical certifications.
  • Experience with Planview or other portfolio management systems.
  • Experience using Python and AI-assisted code.
  • Experience with statistical analysis, forecasting, and scenario analysis.
  • Experience in a Division Engineering or adjacent engineering environment.

Responsibilities

  • Build and maintain a multi-year roadmap for data, analytics, and automation; lead intake, prioritization, delivery, and adoption of the work.
  • Design scalable data models, reusable semantic models, and governed datasets; document data flows, systems of record, and lineage.
  • Develop and support Power BI reports, Power Apps, Power Automate flows, and SharePoint solutions, including reliability, refreshes, access, release controls, and documentation.
  • Enable governed self-service analytics through templates, learning paths, coaching, office hours, and a network of functional power users.
  • Redesign manual processes into efficient digital workflows and apply forecasting and scenario analysis to improve portfolio, resource, and cost decisions.

Benefits

  • Company-wide bonuses and long-term incentives.
  • Company-paid pension benefit with fixed contributions (described in one benefits passage).
  • 401(k) matching contributions; one benefits passage states company contributions can help bring total retirement contributions to 7%–12% of pay, and another states matching contributions of up to 4% of pay when contributing at least 6%.
  • Medical, dental, and vision benefits.
  • Paid parental leave and family building support.
  • Fitness benefits.
  • Company-paid life insurance and disability benefits.
  • Disease management programs.
  • Paid time off.
  • Employee Assistance Program (EAP).
  • Recognition program to celebrate successes and reward exceptional contributions.
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