Manager, Enterprise Data and Analytics

Nutrition International

Ottawa, CAN

Full Time

Manager

Hybrid

Yesterday

SQLData ModelingPower BIData WarehouseETLAzure Data Services

Free

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SQLData ModelingPower BI

Nutrition International is seeking a Manager, Enterprise Data and Analytics to design, implement, and manage enterprise data and reporting solutions.

SQLData ModelingPower BIData WarehouseETLAzure Data Services

Design, implement, and maintain enterprise data models aligned with architectural standards and governance rules
Develop and manage data models, views, and transformations supporting the Unit's needs; maintain databases and NI Datawarehouse
Design data architectures that support AI ready data access, including structured knowledge bases, contextual retrieval layers, and vector enabled data stores for RAG and agentic AI workflows
Collaborate with the Systems Administrator on environment configuration, security, and access requirements for data platforms
Build and maintain data pipelines that feed AI/ML models and intelligent assistants, including contextual data preparation for RAG systems, embedding generation, and integration with AI tooling via MCP
Deliver clean, trusted datasets optimized for Power BI and future enterprise reporting tools; translate business reporting needs into scalable data structures
Enable AI augmented analytics by preparing datasets for natural language querying, contextual AI assistants, and automated insight generation
Work closely with the Principal Enterprise Architect to operationalize enterprise architecture and data standards
Collaborate with IM, Risk and Assurance, and other governance stakeholders to support auditability, compliance, and traceability

Bachelor's or Master's degree in Data Engineering, Computer Science, Information Systems, or related field
5 to 8 years of experience in data architecture, analytics engineering, or enterprise reporting
Strong expertise in SQL, data modeling, master data management (MDM) and data warehouse/lakehouse concepts
Hands on experience with Power BI, Fabric, Azure data services, NSAW, Snowflake, and modern ETL / data pipeline technologies or equivalent platforms
Demonstrated experience with AI enabling data practices, including RAG, vector databases, embedding pipelines, context engineering, and AI integration protocols such as MCP
Practical knowledge of preparing and governing enterprise data for consumption by LLMs, AI agents, and intelligent automation tools
Strong familiarity with AI/ML frameworks, prompt engineering concepts, agentic AI architecture, and advanced data analytics
Fluency in English is essential; working capacity in French is an advantage

Nutrition International (NI) is a global organization dedicated to delivering proven nutrition interventions to those who need them most.
We have a global team of over 600 people, working in 13 offices across 11 countries.

Reporting to the Principal Enterprise Architect, the Manager, Enterprise Data & Analytics, is responsible for the design, implementation, and operational management of Nutrition International's enterprise data and reporting solutions.
The role focuses on transforming architectural direction into reliable data pipelines, models, and analytics ready datasets that enable trusted reporting, dashboards, and future AI initiatives.
The Manager ensures that enterprise data assets are accurate, auditable, and fit for decision making across Corporate Services, HR, Business Development, Programs, and across NI globally.

Design, implement, and maintain enterprise data models aligned with architectural standards and governance rules.
Develop and manage data models, views, and transformations supporting the Unit's needs. Maintain databases and NI Datawarehouse.
Design data architectures that support AI ready data access, including structured knowledge bases, contextual retrieval layers, and vector enabled data stores for RAG and agentic AI workflows.
Collaborate with the Systems Administrator on environment configuration, security, and access requirements for data platforms.
Build and maintain data pipelines that feed AI/ML models and intelligent assistants, including contextual data preparation for RAG systems, embedding generation, and integration with AI tooling via MCP.
Deliver clean, trusted datasets optimized for Power BI and NI future enterprise reporting tools. Translate business reporting needs into scalable and reusable data structures.
Enable AI augmented analytics by preparing datasets for natural language querying, contextual AI assistants, and automated insight generation.
Work closely with the Principal Enterprise Architect to operationalize enterprise architecture and data standards.
Collaborate with IM, Risk and Assurance, and other governance stakeholders to support auditability, compliance, and traceability.

Bachelor's or Master's degree in Data Engineering, Computer Science, Information Systems, or related field.
At least 5 to 8 years of experience in data architecture, analytics engineering, or enterprise reporting.
Strong expertise in SQL, data modeling, master data management (MDM) and data warehouse/lakehouse concepts.
Hands on experience with Power BI, Fabric, Azure data services, NSAW, Snowflake, and modern ETL / data pipeline technologies or equivalent platforms.
Demonstrated experience with AI enabling data practices, including RAG, vector databases, embedding pipelines, context engineering, and AI integration protocols such as MCP.
Practical knowledge of preparing and governing enterprise data for consumption by LLMs, AI agents, and intelligent automation tools.
Strong familiarity with AI/ML frameworks, prompt engineering concepts, agentic AI architecture, and advanced data analytics.
Fluency in English is essential; working capacity in French is an advantage.

A competitive market pay, pension, professional development allowance, health & wellness allowance, health and dental benefits.
Four weeks of vacation (plus public holidays) and other leave, and flexible work hours.
A collaborative and engaging work environment.

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