AI & Digital Transformation Specialist

Full-Time, Hybrid, Onsite, Part-Time, Remote
Canada, Montreal, QC, Quebec, QC, Togo, West Africa, Toronto, ON
Posted 4 days ago
Mivado GlobalPerformance harnesses AI and digital innovation to transform Biopharma and healthcare, empowering organizations to deliver smarter, more connected, and more personalized pharma and health experiences while improving enterprise performance. We’re looking for an AI and Digital Transformation Specialist who is a professional driving organizational change by integrating AI and digital solutions into business processes, optimizing operations, and ensuring measurable impact.

A strategist and builder who can move between boardroom and sprint room. You’ll lead AI-powered transformation programs,  modernizing processes, enabling data-driven decisions, and embedding intelligent automation into the fabric of how organizations operate and grow.

Transformation pillars

  • – AI Strategy & Roadmapping: Define where and how AI creates durable business value, from use-case prioritization to building and buying decisions.
  • – Process re-engineering: Map existing workflows, identify automation opportunities, and redesign end-to-end processes around AI capabilities.
  • – Data & platform enablement: Assess data infrastructure readiness; close gaps in data quality, integration, and governance to unlock ML pipelines.
  • – Change management: Drive organizational adoption by ensuring training programs, stakeholder alignment, and culture shifts toward AI-first ways of working.
  • – Responsible AI & ethics: Embed fairness, transparency, and accountability checkpoints into every transformation initiative from day one.
  • – Outcome measurement: Define KPIs, build dashboards, and run post-implementation reviews to demonstrate ROI and course-correct fast.

Key responsibilities

1. Lead discovery engagements and facilitate executive workshops, interview process owners, and synthesize findings into transformation opportunity maps with estimated value and complexity.
2. Design AI-powered solutions with architect intelligent automation, generative AI, and ML-driven decision systems aligned to business objectives and technology constraints.
3. Build and execute roadmaps to translate strategy into phased delivery plans with clear milestones, resource requirements, and dependency maps across business and technology teams.
4. Own stakeholder communication to prepare C-suite briefings, steering committee updates, and board-level narratives that connect AI investments to strategic outcomes.
5. Evaluate and integrate AI tooling by assessing vendor solutions (LLM platforms, RPA, analytics tools) against client needs and orchestrate integrations with existing enterprise systems.
6. Drive digital upskilling by designing capability-building programs that help business units understand, trust, and leverage AI tools in their daily work.
7. Manage transformation risk and identify technical debt, data quality gaps, regulatory exposure, and change fatigue early, with mitigation plans ready before they become blockers.

Skills & experience

  • – 5+ years in digital transformation, management consulting, or enterprise technology. Proven track record delivering cross-functional programs at scale.
  • – Hands-on exposure to LLMs, ML workflows, and agentic systems. Comfortable evaluating foundation models and automation platforms (UiPath, Power Automate, Vertex, Azure AI).
  • – SQL, data modeling basics, and BI tools (Power BI, Tableau, Looker). Able to assess data readiness and collaborate with data engineering teams.
  • – Agile / SAFe delivery, design thinking facilitation, business case development, and benefits realization management.
  • – Financial services, retail, healthcare, or public sector preferred. Regulated industry experience is a strong plus.
  • – PMP, SAFe, TOGAF, or AWS/Azure/GCP AI certifications are valued. An MBA or equivalent postgraduate education is beneficial.

Job Features

Job CategoryContract, Internship, Permanent
Additional InformationWe are an equal opportunity employer.

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