Data & Analytics Senior Specialist

Category for Job Posting:
Digital and Information Technology
Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.
From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.
Grow a Career. Build a Future!
Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.
Job Purpose    The main responsibility of this role is to define and govern how data is structured, integrated, stored, and made consumable as reusable data products across CNH on a Databricks-centric Lakehouse platform. The role is responsible for establishing the target-state data architecture, modeling standards, and technology patterns that enable the ingestion, transformation, storage, and enrichment of data. This ensures that CNH’s data foundation is scalable, performant, trusted, and AI-ready, while remaining aligned with Enterprise Architecture, Security, and the broader Data & AI strategy.

Key Responsibilities      Define the target-state data architecture and roadmap (conceptual, logical and physical data models) for the enterprise data landscape, maintaining current and target state blueprints.
Set standards, reference architectures and design guidelines for data ingestion, modeling, storage and consumption on the Databricks Lakehouse, to be adopted by delivery and engineering teams.
Architect scalable, reusable and automated data pipelines (batch & streaming) and promote a data products operating model with strong Data Ops practices.
Design data structures that are AI- and analytics-ready, enabling BI, advanced analytics, ML and GenAI use cases (feature engineering, vector/semantic layers, RAG-ready data) leveraging the Databricks ecosystem.
Apply data governance and data quality principles within the architecture, partnering with the dedicated Data Governance function (which owns governance strategy) to ensure compliant, well-modeled and well-cataloged data, leveraging Unity Catalog for cataloging, lineage and access management.
Ensure security, privacy and compliance by design (GDPR, data classification, access control).
Partner with business and IT leaders to translate business needs into architectural decisions and to maximize the value of CNH’s information assets.
Provide technical leadership and architectural assurance across programs and external delivery partners.
Experience Required    General     Bachelor’s degree in Computer Science, Information Technology, Engineering or equivalent experience.
Minimum 7+ years in data architecture / data engineering / data modeling roles.
Available for occasional business travel.
Functional     Strong business-domain, information and process understanding; ability to relate architectural decisions to business value.
Mastery of data modeling and data architecture patterns (dimensional, data vault, medallion/Lakehouse).
Solution evaluation and comparison; reference-architecture design.
Working knowledge of data governance and data quality principles (the role applies them and collaborates with the Data Governance…