Manager, Enterprise Data and Analytics

Résumé du poste

Responsible for the design, implementation, and operational management of enterprise data and reporting solutions. The role focuses on creating reliable data pipelines and AI-ready datasets to enable trusted reporting and future AI initiatives.

Détails du poste

Title: Manager, Enterprise Data and Analytics Employment Type: Permanent, Full Time Location: Ottawa, Canada – Hybrid (2 days/week in office) Submission Date: August 2, 2026 Salary: CAD $106,000 - $118,000 About us Founded in 1992, Nutrition International (NI) is a global organization dedicated to delivering proven nutrition interventions to those who need them most. At Nutrition International, we make a difference, because nutrition is the difference. Woven into the very fabric of our approach is the passion and drive of our global team of over 600 people, working in 13 offices across 11 countries with one common goal: transforming the lives of people who need it most through improved nutrition. If you are a motivated and passionate individual who shares our conviction that a better world is possible through improved nutrition, wants to leave the world a little better than they found it, and is looking to be part of a global team with a clear vision, we want to hear from you. Please consider applying for the position below. If you are a motivated and passionate individual who shares our conviction that a better world is possible through improved nutrition, wants to leave the world a little better than they found it, and is looking to be part of a team with a clear vision, we want to hear from you. Please consider applying for the position below. About the role 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. In this role you will : · 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 Retrieval-Augmented Generation (RAG) and agentic AI workflows. · Collaborate with the Systems Administrator on environment configuration, security, and access requirements for data platforms (databases, Datawarehouse, tables…). · 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 protocols such as Model Context Protocol (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. Enrich NI's reporting maturity by implementing KPIs, aggregations, and metrics in data layers wherever possible. · Enable AI-augmented analytics by preparing datasets for natural language querying, contextual AI assistants, and automated insight generation, ensuring data is structured, semantically tagged, and accessible to AI agents. · 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. For more detailed information about the role, please click on the attached Job Description About you You will have a Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Systems, or related field with atleast 5 to 8 years of experience in data architecture, analytics engineering, or enterprise reporting. You will come with 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 Retrieval-Augmented Generation (RAG), vector databases, embedding pipelines, context engineering, and AI integration protocols such as Model Context Protocol (MCP). Practical knowledge of preparing and governing enterprise data for consumption by large language models (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 and working capacity in French is an advantage. What we offer 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. We offer a collaborative and engaging work environment. Nutrition International is an equal opportunity employer. We celebrate diversity and are committed to an inclusive, equitable and accessible work environment. Upon request, accommodations due to a disability are available throughout the selection process. Nutrition International upholds a zero-tolerance policy on sexual exploitation, abuse and harassment (SEAH). Following the principles of the Inter-Agency Misconduct Disclosure Scheme, reference checks will include safeguarding verifications with previous employers. By applying to this position, candidates acknowledge and consent to these reference checks being conducted with previous employers. Selected candidates must have current legal entitlement to work in Canada. Please note that all our offers are conditional subject to appropriate screening checks and satisfactory reference checks. How to apply? Nutrition International is committed to an inclusive, barrier-free work environment and encourages applications from all qualified individuals. To apply please click on the ‘Apply for this job’ button to submit your application. The closing date for receiving applications is August 2, 2026. Selected candidates must have current legal entitlement to work in Canada. Kindly note that apart from the interviews, shortlisted candidates are also expected to complete written/ technical assessment, which will assigned during the recruitment process of this position. We thank you for your interest, however only those selected for an interview will be contacted.

Ce que vous ferez

Responsible for the design, implementation, and operational management of enterprise data and reporting solutions. The role focuses on creating reliable data pipelines and AI-ready datasets to enable trusted reporting and future AI initiatives.

Exigences

Requires a Bachelor's or Master's degree in Data Engineering or a related field with 5 to 8 years of experience in data architecture or analytics. Must have strong expertise in SQL, Power BI, Azure, and AI-enabling data practices like RAG.

Avantages

• Pension • Professional Development Allowance • Health & Wellness Allowance • Health Benefits • Dental Benefits • Four Weeks Of Vacation • Flexible Work Hours

Compétences indiquées

• Microsoft Azure · Souhaitée
• Power BI · Souhaitée
• SQL · Souhaitée
• Health · Souhaitée
• Analyse de données · Souhaitée
• management · Souhaitée
• Reporting · Souhaitée
• Development · Souhaitée
• future · Souhaitée
• Integration · Souhaitée
• Reliable · Souhaitée
• Flexible · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Sql
• Data Modeling
• Master Data Management
• Power BI
• Azure Data Services
• Snowflake
• ETL
• Retrieval-Augmented Generation
• Vector Databases
• Prompt Engineering
• Data Architecture
• Analytics Engineering

Domaines d’emploi

• Data & Analytics
• Technology
• Management & Leadership
• Software
• Engineering