- Company Name
- PALMER
- Job Title
- Consultant(e) AI Transformation
- Job Description
-
**Job Title**
AI Transformation Consultant
**Role Summary**
Drive end‑to‑end AI integration for business units across sectors, translating strategic objectives into operational programs that deliver measurable business impact.
**Expectations**
- 2–8 years in consulting or transformation with hands‑on AI, data, or automation projects.
- Proven ability to lead cross‑functional initiatives and align business, IT, Data, and Security teams.
- Strong focus on value creation, performance measurement, and sustainable adoption.
- Comfortable operating on strategic, tactical, and execution levels without being a deep technical coder.
**Key Responsibilities**
- Analyze existing processes, identify AI‑driven improvement opportunities, and prioritize use‑cases by business impact.
- Develop realistic roadmaps, KPIs, and governance structures for AI programmes.
- Select and integrate appropriate AI/Data solutions, running pilots, scaling, and ensuring alignment with enterprise architecture.
- Coordinate stakeholders across Business, IT, Data, and Security, managing timelines, risks, and budgets.
- Measure operational gains, validate ROI, and secure ongoing operational efficiency.
- Champion governance, security, and compliance for deployed AI solutions.
- Coach and embed long‑term adoption practices within client teams.
**Required Skills**
- Process & business value analysis.
- AI, data, and automation fundamentals (model lifecycle, data pipelines, MLops).
- Project management (planning, risk, stakeholder engagement).
- Strong communication; ability to translate technical options into business terms.
- Change management and adoption facilitation.
- Basic understanding of security and compliance in AI deployments.
**Required Education & Certifications**
- Bachelor’s (or Master’s) in Business, Computer Science, Data Science, or related field.
- Professional certifications preferred: PMP, PRINCE2, Agile (Scrum/SAFe), or relevant AI/ML certifications (e.g., Google Professional ML Engineer).