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Data Analytics and AI Business Consultant – Medavie (Onsite, Canada)
Partner with Medavie’s business and technology teams to identify data, analytics, automation, and AI opportunities. Build evidence-based business cases and guide prioritized use cases toward measurable value.
विवरण
- Serve as the primary connection between a business division or shared service and enterprise data, analytics, and AI functions
- Collaborate with AI and data technology consultants throughout the opportunity lifecycle
- Organize and lead structured discovery sessions, workshops, and stakeholder consultations
- Develop a detailed view of divisional strategy, priorities, operations, workflows, and performance indicators
- Investigate unmet needs, duplicated work, delays, handoff issues, decision constraints, and customer or employee pain points
- Identify and develop data, analytics, and AI opportunities that support enterprise strategy and priority value areas
- Prepare decision-ready business cases covering the problem, available options, expected benefits, costs, assumptions, risks, dependencies, and investment rationale
- Measure projected costs and benefits, evaluate trade-offs, and define value-realization metrics
- Gather, assess, and document business requirements, process effects, and success criteria
- Validate that opportunities are well defined, meaningful, and value focused before enterprise review and prioritization
- Group related use cases to address larger end-to-end value-chain challenges
- Move use cases through the enterprise process into delivery, involving process reengineering, risk, and finance experts when appropriate
- Help ensure sustained adoption and integration of data, analytics, and AI solutions
- Convert business challenges into opportunities involving data, analytics, automation, and artificial intelligence
- Keep business priorities aligned with the Enterprise Transformation Office
- Explain enterprise direction, sequencing, progress, and enablement requirements to business stakeholders
- Monitor emerging data, analytics, and AI capabilities, including generative AI
- Improve methods for identifying opportunities, defining their scope, and preparing decisions
आवश्यकताएँ
- Bachelor’s degree in engineering, computer science, data analytics, business administration, or a related discipline
- At least 5 years of business-facing experience, preferably in a senior business analysis, business architecture, transformation, or consulting role
- Experience working with business teams or shared services to identify and advance technology opportunities
- Demonstrated ability to lead complex workshops and stakeholder discussions involving discovery, requirements gathering, option evaluation, and cross-group alignment
- Strong background creating and documenting business cases, including benefit and cost analysis, trade-off evaluation, and value measurement
- Experience with AI processes, information technology, or a related area
- Ability to turn business challenges and process inefficiencies into use cases, requirements, or clearly articulated needs
- Experience linking complex business problems to scalable data, analytics, automation, or AI-enabled solutions
- Substantial knowledge of healthcare, government programs, and/or insurance
- Working knowledge of AI, analytics, and data concepts
- Strong facilitation, relationship management, and stakeholder alignment abilities
- Clear communicator who can connect technical and non-technical perspectives
- Able to work effectively amid competing priorities, changing mandates, and uncertainty
- Experience or certifications in business analysis, AI, analytics, data management, or digital transformation are an asset
- Written and spoken English proficiency is required
- French-English bilingualism is an asset
- Eligible for Reliability Status Clearance (Enhanced Level B), including fingerprinting, criminal record, and credit checks
- Must have lived in Canada for a minimum of five years
- Must have Canadian permanent resident or citizenship status
लाभ
- Competitive compensation
- Comprehensive employee benefits
- Personal and professional development opportunities
- Flexible work arrangements
- Meaningful work experiences
- Supportive leadership
- Performance-based incentive programs for eligible employees
- Recruitment accommodations and adjustments
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