Technical Project Manager – AI & Data at Deloitte

Job Description
Role Summary

• We are seeking a Technical Project Manager (TPM) to lead the end-to-end delivery of AI and Data initiatives for high-impact clients across the African continent. This role requires a blend of technical fluency, project leadership expertise, and client-facing consulting capability.
• You will lead multi-disciplinary teams across data engineering, data science, and business consulting, ensuring delivery excellence and measurable business impact from AI & Data transformation initiatives.

Key Responsibilities

AI & Data Program & Project delivery

• Lead cross-functional teams to deliver AI and Data projects on time, within scope, and to expected quality
• Define and manage project plans, sprint schedules, dependencies, risks, and issue resolution
• Drive delivery across model development, data readiness, deployment, and operationalization (MLOps)

Stakeholder engagement & Value realisation

• Act as the primary interface between technical teams and business stakeholders
• Translate complex technical progress into clear business outcomes and business impact
• Align delivery with broader client transformation agendas (AI strategy, platform, use cases, operations)
• Facilitate collaboration across AI/ML, data engineering, and platform architecture
• Understand AI use case pipelines: experimentation, model development, evaluation, deployment
• Support the definition of scalable AI operating models, platforms, and governance structures
• Establish cadence of status reviews, steering committees, and retrospectives
• Maintain comprehensive project documentation, risk logs, and financial tracking
• Ensure compliance with delivery methodologies (Agile, Scrum, hybrid)

Technical & Domain fluency
Governance & Reporting
Qualifications

• 8–12+ years total
• 3–5+ years in technical project or program management
• 2+ years managing AI/ML or advanced analytics initiatives

Delivery Context:

• Experience in consulting, digital transformation, or enterprise technology delivery (client-facing roles preferred)

AI/Tech Understanding:

• Familiarity with ML lifecycle, MLOps, data science workflows
• Basic understanding of cloud-native AI platforms (Azure ML, Vertex AI, SageMaker)

Methodologies:

• Agile, Scrum, Kanban, Hybrid delivery approaches
• Experience managing cross-shore or multi-market teams

Education:

• Bachelor's in Engineering, Computer Science, Data Science, or related
• Master’s preferred

Certifications:

• PMP, Prince2, or Scrum Master (bonus: SAFe, AI/ML certifications)