Hello,
I'm Clémence, recruitment and business development consultant at FED IT, a recruitment agency specializing in IT professions.
I work on two types of recruitment: temporary and permanent.
All our consultants are IT experts who speak your language and work in your environment. We cover the full range of IT professions: development, business intelligence and infrastructure.

Hello,
I'm Earvin, recruitment and business development consultant at FED IT, a recruitment agency specializing in IT professions.
I work on two types of recruitment: temporary and permanent.
All our consultants are IT experts who speak your language and work in your environment. We cover the full range of IT professions: development, business intelligence and infrastructure.

The VP - Data & Analytics Solutions will oversee the strategy, design, implementation and management of the company's data foundations and the delivery of our analytics products. This leadership position requires a deep understanding of people, data management, BI and the various stages of analytics (from description to data science), as well as experience in leading strategic data management and analytics initiatives.

The ideal candidate will be a subject matter expert in creating and managing data-mature analytical organizations, while educating a wider audience. He/she will also need to be able to advise and execute the company's data strategy, influence non-associated decision-makers and lead data-related change management efforts across organizational boundaries.

Responsibilities:

- Advanced experience in designing and executing a comprehensive enterprise analytics data management strategy aligned with business objectives.
- Be the single point of responsibility for enterprise data foundations, collaborating with master data management, scientific product management, and operational teams in Canada and the US.
- Collaborate with Enterprise Architecture to ensure that infrastructure designs and approaches meet required business capabilities for data and analytics.
- Promote enterprise data governance and data management.
- Lead the implementation of various data capabilities from Microsoft Azure, Databricks and other cataloging, visualization and analytics applications to support the overall strategic analytics program.
- Develop the skills of the existing team and fill gaps in the operational model.
- Promote enterprise-wide standardization of data and analytics in terms of rules, quality, processes, and integrate necessary tools. Enforce rules and encourage and influence best practices within the team and organization as required.
- Create a data-centric approach to business questions, decisions and actions - develop our analytics roadmap and relevant data.
- Lead the strategy, design, development and implementation of all data management and analytics tools and systems.
- Manage a team of data and analytics professionals and their career planning/development, data ingestion, curation, visualization, BI, cubes, architects, data analysts and data engineering professionals.
- Ensure compliance with data privacy regulations and other legal requirements related to data management.
- Stay abreast of emerging trends and technologies in data delivery and analytics, and make recommendations for the adoption of new capabilities, tools and platforms.
- Collaborate with teams across business functions to identify critical analytics needs and data design/data quality/accuracy policies/governance and develop data-driven insights that drive business actions and results.
- Collaborate with and manage external vendors or consultants to ensure successful implementation of data systems and their integration with the existing environment.
- Collaborate with IT PMO to continuously manage the team's delivery to project deadlines, deliverables and milestones to ensure timely, high quality and highly adopted data products.
- Build trusting relationships with our business partners.
- Implement repeatable processes around data management and execution, data products and data science commercialization.

- Bachelor's degree or relevant experience in business administration, information systems, computer science or related field.
- Proven experience (10+ years) in leading data analysis projects and teams.
- 10+ years' experience in data analysis/data science/IA and data management/analysis, including in-depth knowledge of database schemas, data dictionaries, field mappings, data sensitivity, data security, data flows, process analysis, etc.
- 10+ years' experience in various areas of BI and analytics.
- Implementation experience with tools such as data governance, data cataloging, analytics, semantic layer, etc. - particularly in the Microsoft & Databricks space.
- Experience in the food industry or POS = Major asset
- Good knowledge of all capabilities needed to execute a data and analytics strategy in an