Manager – Digital, Data & AI Strategy & Transformation

Opportunity

Key responsibilities

• Own end-to-end digital, data and AI strategy and transformation engagements; lead delivery to quality, budget and timeline.
• Develop client relationships, identify follow-on opportunities, and support or lead proposals and pitches.
• Advise senior stakeholders; facilitate discovery sessions and synthesize business, technology and data insights.
• Develop transformation roadmaps, business cases, solution plans and operating models based on current-state analysis.
• Deliver executive presentations and workshops; contribute ideas and frameworks; mentor colleagues and help grow practice capabilities.

Must-have qualifications

• 5+ years of client-facing management consulting or technology advisory experience.
• Demonstrated measurable impact and experience advising VP- or C-suite stakeholders on strategic digital, data or AI initiatives.
• Experience managing project teams, mentoring junior staff, leading client interactions and cross-functional teams through change.
• Experience leading or contributing to full-cycle digital, data or AI-enabled transformation programs.
• Deep understanding of digital strategy, data and analytics, AI applications, business process analysis and stakeholder engagement.
• Experience with roadmaps, business cases, solution optioning and operating model design; comfort in fast-paced, ambiguous client environments.
• Broad awareness of emerging technologies, market trends and digital business models.

Preferred attributes and experience

• Preferred attributes include initiative, curiosity, adaptability, entrepreneurial mindset, strong interpersonal skills and ability to influence and collaborate.
• Industry experience in financial services, private equity, real estate, manufacturing or distribution is an asset.
• Bilingual English and French is an asset.
• Familiarity with Design Thinking, Agile, TOGAF, Lean Six Sigma; data, cloud or AI/ML certifications; and platforms such as SAP, Oracle, Salesforce, Microsoft Dynamics, Workday, Snowflake, AWS, Azure or Google Cloud is an asset.
• Familiarity with Power BI, Tableau or AI/ML platforms such as DataRobot or Azure ML is an asset.

Compensation

• Expected compensation range is CAD 96,000 to CAD 144,000; no pay cadence is specified.

Why join

• BDO describes opportunities for high-impact work, career development, learning, practice growth and thought leadership.
• The firm offers benefits from day one, flexible personal time off and wellness reimbursement.

Work arrangement

• BDO personnel spend some time in the office, at client sites and virtually under a blended flexible work model.