Manager Analytics Data Engineering Jobs in New Hampshire

Requisition Number: 77751

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The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.

Scope of the Role

The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division's data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases.

This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use.

The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.

This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.

Key Responsibilities

Data Engineering and Platform Leadership

• Lead the day-to-day management, support, and enhancement of the division's data engineering environment, including Databricks and related data platform capabilities.

Analytics Enablement

• Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.

Team Leadership and Delivery Management

• Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.

Data Quality, Governance, and Controls

• Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.

Future-State Analytics and Advanced Analytics Enablement

• Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
• 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
• 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
• Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
• Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
• Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
• Experience working with BI, reporting, or analytics teams to support trusted data consumption.
• Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
• Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

• Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
• Experience with cloud data ecosystems such as Azure, AWS, or GCP.
• Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
• Experience supporting enterprise-scale reporting and dashboard environments.
• Experience implementing or supporting data governance practices and operating models.
• Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

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.