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Strategic Advisor and Expert in Governance, Data & AI Category: Analytics and Emerging Digital Technologies
Main location: Canada, Quebec, Montre9al
Position ID:J1026-0555
Employment Type: Full Time
Position Description: We are seeking a Strategic Advisor with expertise in governance, data, and AI to support executive leadership, governance committees, and business stakeholders in defining visions, strategic directions, and roadmaps focused on leveraging data and artificial intelligence. This individual will serve both as a trusted advisor to senior management and as a builder of a high-value data/AI practice.
Your future duties and responsibilities: Key Responsibilities
Vision and Practice Development
Define and implement the strategic vision for the Data/AI practice, aligned with business objectives and market trends
Structure service offerings in data strategy, governance, data architecture, BI, AI, and data science
Mentor talent and foster a culture of innovation, rigor, and continuous learning
Strategic Consulting for Clients
Advise executives and senior managers on strategic decisions related to data utilization, governance, and AI
Develop recommendations, roadmaps, action plans, and executive presentations to support governance committees and decision-making bodies
Prepare and facilitate scoping and strategic planning workshops to prioritize high-value use cases
Data Governance and Quality
Evaluate processes, data quality, and reporting practices to identify opportunities for improvement
Design and implement governance frameworks that ensure data integrity, reliability, and compliance
Integrate best practices for data protection, ethics, and responsible data governance
Advanced Analytics and AI
Lead the prioritization of high-value AI and data use cases (personalization, segmentation, forecasting, monetization)
Contribute to the design of predictive models, dashboards, and KPIs to support performance and decision-making
Support the adoption of generative AI and prompt engineering to generate insights tailored to client needs
Change Management
Support the transformation of the decision-making culture within client organizations
Facilitate workshops on data literacy, ideation, and the adoption of analytical tools for cross-functional teams
Required qualifications to be successful in this role: Qualifications
University degree in business administration, statistics, computer science, or a related field (MBA or equivalent is a plus)
15 or more years of experience in information technology, including significant expertise in data governance, analytics, and AI
Proven experience in providing strategic advice to executive leadership and governance committees
Experience in defining and implementing data governance frameworks
Experience facilitating strategic and scoping workshops with business stakeholders
Ability to produce strategic analyses, recommendations, and high-level executive presentations
Bilingual in French and English
Technical Skills
Data strategy: governance, quality, value creation, monetization, executive reporting, and KPI management
Advanced analytics and AI: segmentation, forecasting, predictive models, personalization, generative AI, and advanced prompts
Architecture and operations: data pipelines, BI, dashboards, visualization, and storytelling
Tools: Power BI, Tableau, Looker, SQL, R, and Python
Management and Delivery: leading cross-functional teams, project management, agile methodologies.
Strengths
Industry experience in energy, finance, retail, or public services
Experience implementing large-scale data monetization projects
Certification in generative AI or project management
Experience in team leadership and business development
Soft skills
Leadership and vision: ability to define and champion a strategic vision with senior management
Analytical rigor: commitment to the quality, reliability, and relevance of the analyses produced
Political acumen and interpersonal skills: ease in interacting with governance committees and complex decision-making bodies
Executive communication: ability to explain complex data/AI issues in laymans terms to high-level audiences
Teamwork and mentoring: ability to mentor talent and foster a culture of continuous learning
Ethics and accountability: commitment to data protection and responsible data governance
Adaptability: ability to operate effectively in multisectoral and multicultural contexts
Skills: - Agile
- Analytical Thinking
- Python
- SQL
- Tableau