Enterprise Data Architect - Toronto, Canada - McCain Foods

Description

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Position Title: Enterprise Data Architect

Position Type: Regular - Full-Time ​

Position Location: Toronto HQ

Requisition ID: 29563

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JOB PURPOSE:

We are looking for a business savvy Enterprise Data Architect (EDA), someone who interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. The EDA will perform activities of developing a direction for managing the portfolio of to-be solutions, strengthens the impact of, and provides recommendations on, business information that will need to be available and shared consistently across the organization through the identification, definition and analysis of how information assets aid strategies and business outcomes.

You will work closely with the Data, AI and Analytics team collaborating on data management and governance, solution architecture for data projects, implementation of risk and controls for all initiatives. The EDA develops data-centric strategies and provides direction for data architecture best practices for the Organization.

You will collaborate with our business leaders and partners, act as a trusted advisor, and lead technical transformations and implementations for our dynamic business, which covers our extended value chain from Agriculture through manufacturing, logistics and commercial, including retail / FMCG.

JOB RESPONSIBILITIES:

• Influence information strategy: By partnering with business unit leadership, and through the rationalization of the information value chain, the enterprise data architect defines, leads and communicates information and data management strategies and plans as well strategic recommendations to maximize the value of information assets via their creation, access and use.
• Maximize value derived from data and analytics: Foster value creation using the organization's data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.
• Surface information priority: Assess the benefits and the risks of information by using tools such as business capability models to create an information-centric view to quickly visualize what information matters most to the organization based on the defined business strategy.
• Enhance decision making: Use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies. Assist decision design.
• Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.
• Conduct business information modeling: Create and manage business information models in all their forms, including conceptual models, relational database designs, message models and others.
• Manage risk: Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.
• Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.
• Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions ensuring compliance with controls and standards across all data initiatives.
• Improve EIM performance: Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.

MEASURES OF SUCCESS:

• Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
• Experience defining and building enterprise data management policies, processes, solutions and associated documentation to strengthen data management.
• Develop capability and technology solutions around key data governance areas of data sharing, access management, data quality management, data lineage, metadata management and the data catalog, records management, information risk and controls. Automate data management processes and governance activities related to key governance areas.
• Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the organization.
• Data modeling and information classification expertise at the enterprise level.
• Collaborates and provides guidance to the broader architecture community and delivery teams on data integration standards and best practices.
• Experience working in an architecture environment positioned to house high volumes of structured as well as semi-structured & unstructured data (e.g. sensor, sentiment, geo, social, text, clickstream, etc.).
• Ability to support highly automated and intelligent analytical functions.
• Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
• Experience with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
• Experience with distributed management and analytics in cloud and hybrid environments. Also an understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures).
• Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
• Knowledge of the SAP emerging technologies such as S4/HANA would be an asset.

KEY QUALIFICATION & EXPERIENCES:

• Post-secondary education in Computer Science, Software Engineering, Management Information Systems, or a related discipline.
• Fifteen or more years of experience in multiple architecture domains (business, information, technology, application, infrastructure, security) and are proficient in generating technical roadmaps and architectures to lead architecture concepts.
• A minimum of ten years' experience in Enterprise Data Architecture is highly desirable.
• In-depth experience of designing and implementing information solutions.
• Hands-on experience with implementing data management programs is preferred.
• Advanced knowledge of architecture tools, processes and procedures. Experience with LeanIX is an asset.
• A proven ability to interpret and communicate IT related information and concepts into business language for senior level stakeholders
• Ability to understand the long-term ("big picture") and short-term perspectives of situations.
• Ability to quickly comprehend the functions and capabilities of new technologies.
• Alignment with our values of safety above all else, respect, raise the bar, commitments matter and do the right thing
• A professional certification as an architect with an industry-recognized organization

OTHER INFORMATION

• You will work out of our Global Technology Centre in Toronto, ON
• Hours of work are a regular 40-hour work week, Monday to Friday, with the potential for extended work hours based on business needs
• Travel: as required
• Job is primarily performed in a standard office environment

The above information indicates the general nature and level of work performed by employees within this classification. It is not a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs.

The health and safety of McCain employees and their families has been our number one priority since the start of COVID-19 pandemic. With vaccination restrictions easing across the globe we do not currently require employees to be vaccinated, but we reserve the right to change this mandate in line with health guidance and regulations in each country.

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Privacy Policy

Job Family: Information Technology
Division: Global Technology
Department: ​Enterprise Architecture ​
Location(s): CA - Canada : Ontario : Toronto || CA - Canada : New Brunswick : Florenceville-Bristol

Company: McCain Foods (Canada)