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Skills
Artificial Intelligence (AI)unmatched
Automationunmatched
Business Operationsunmatched
Business Processesunmatched
Business Strategyunmatched
Communication Skillsunmatched
Consultingunmatched
Data Scienceunmatched
Employee Benefitsunmatched
Enterprise Architectureunmatched
Establish Prioritiesunmatched
Metricsunmatched
Natural Language Processing (NLP)unmatched
Operational Strategyunmatched
Operations Processesunmatched
Performance Analysisunmatched
Performance Metricsunmatched
Predictive Modelingunmatched
Problem Solving Skillsunmatched
Process Modelingunmatched
Proof of Conceptunmatched
Retirement Planunmatched
Technical Strategyunmatched
Wealth Managementunmatched
Description
AI Business Consultant needs 7 years supporting the development and adoption of technology solutions
AI Business Consultant requires:
Strong understanding of AI solutions such as intelligent automation, predictive analytics, NLP, or GenAI in enterprise environments.
Strong understanding of business processes and operational models across various domains, with a preference for those aligned with core functions (Wealth Management, Retirement, Employee Benefits, Operations, etc.)
Excellent communication and stakeholder engagement skills.
Strategic mindset with hands-on delivery capabilities.
Ability to work independently and manage multiple initiatives simultaneously.
AI Business Consultant duties:
Partner with business unit leaders to understand strategic goals, operational challenges, and process landscapes.
Identify and shape AI opportunities that drive measurable business outcomes and operational transformation.
Lead the end-to-end delivery of AI initiatives, translating business strategy into actionable technical solutions.
Develop and maintain prioritized AI roadmaps, delivery playbooks, and reusable frameworks to accelerate execution.
Collaborate with data science, engineering, and enterprise architecture teams to ensure seamless integration of AI solutions.
Define and track success metrics and KPIs to measure the impact of AI initiatives on business performance.
Support transitions from proof-of-concept to production, ensuring minimal friction and maximum value realization.
Monitor AI delivery performance, resolve issues, and ensure alignment with business expectations.