Associate Director, Forecasting Data Role Overview The Data Leader – Forecasting will be responsible for building and governing high-quality, AI-ready data foundations to enable forecasting at scale. This role will drive the creation of certified data products and ensure data reliability, consistency, and accessibility across the enterprise.
Key Responsibilities Data Strategy & Architecture
Define the data strategy for forecasting (demand, supply, inventory, pricing, external signals)
Design scalable data architecture on cloud platforms (e.g., GCP lakehouse)
Standardize data models and semantic layers across regions
Data Product Development
Build and own certified data products (forecast inputs, demand signals, master data)
Define SLAs, quality metrics, and certification standards
Enable self-service consumption for AI models and business users
Data Governance & Quality
Establish governance frameworks (ownership, lineage, cataloging, access control)
Ensure data quality, consistency, and completeness across multiple ERPs
Drive data readiness for AI use cases
Integration & Platform Enablement
Lead data ingestion and integration from internal systems and external sources
Collaborate with platform teams on pipelines, transformations, and storage
Ensure scalability and performance of data pipelines
Stakeholder Collaboration
Partner with AI teams, business stakeholders, and IT teams
Act as the bridge between business data needs and technical implementation
Drive data literacy and adoption across teams
Key Skills & Qualifications
10–15 years in data engineering, data architecture, or data platforms
Strong experience with cloud data platforms (GCP, Snowflake, Databricks)
Expertise in data modeling, ETL/ELT, and data governance
Experience working in multi-ERP, complex enterprise environments
Strong stakeholder management and communication skills
Success Metrics
Number of certified data products created
Data quality scores (accuracy, completeness, timeliness)
Time to enable new AI use cases
Reduction in data-related issues/escalations
Pay Range: CHF140,000.00 - CHF280,000.00
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Key Responsibilities Data Strategy & Architecture
Define the data strategy for forecasting (demand, supply, inventory, pricing, external signals)
Design scalable data architecture on cloud platforms (e.g., GCP lakehouse)
Standardize data models and semantic layers across regions
Data Product Development
Build and own certified data products (forecast inputs, demand signals, master data)
Define SLAs, quality metrics, and certification standards
Enable self-service consumption for AI models and business users
Data Governance & Quality
Establish governance frameworks (ownership, lineage, cataloging, access control)
Ensure data quality, consistency, and completeness across multiple ERPs
Drive data readiness for AI use cases
Integration & Platform Enablement
Lead data ingestion and integration from internal systems and external sources
Collaborate with platform teams on pipelines, transformations, and storage
Ensure scalability and performance of data pipelines
Stakeholder Collaboration
Partner with AI teams, business stakeholders, and IT teams
Act as the bridge between business data needs and technical implementation
Drive data literacy and adoption across teams
Key Skills & Qualifications
10–15 years in data engineering, data architecture, or data platforms
Strong experience with cloud data platforms (GCP, Snowflake, Databricks)
Expertise in data modeling, ETL/ELT, and data governance
Experience working in multi-ERP, complex enterprise environments
Strong stakeholder management and communication skills
Success Metrics
Number of certified data products created
Data quality scores (accuracy, completeness, timeliness)
Time to enable new AI use cases
Reduction in data-related issues/escalations
Pay Range: CHF140,000.00 - CHF280,000.00
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Kontaktdaten:
Carrier Global Corporation Recruiting-Team
