AI Senior Business Consultant - Multi Industry

Key Responsibilities

Identify and define AI-driven opportunities aligned with business strategy across industries Translate complex business needs into AI-enabled solutions, use cases, and adoption roadmaps Analyze AI trends, market developments, and competitive dynamics to generate actionable insights Act as a bridge between business stakeholders and technical teams Support the design and execution of AI-driven transformation initiatives Facilitate workshops and stakeholder discussions to drive alignment and adoption Ensure delivery of measurable business outcomes through AI initiatives Who You Are

You're good at what you do and possess the required experience to prove it. However, equally as important, you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. You are a strategic and analytical professional with strong business acumen and the ability to connect AI capabilities with real business value. You are comfortable engaging with stakeholders and translating complex concepts into clear, actionable insights. Required Technical and Professional Expertise

5–8 years of experience in a consulting environment with a strong technology focus (digital transformation, data, or AI initiatives) Strong understanding of AI technologies (machine learning, generative AI, NLP, predictive analytics) and their business applications Ability to analyze and interpret AI trends and market developments, translating them into practical business insights Cross‑industry business awareness and ability to identify value‑creation opportunities through AI Experience acting as a bridge between business and technical teams Proven project management capabilities, including stakeholder coordination and delivery tracking Strong client‑facing and communication skills, including workshop facilitation Foundational knowledge of AI/data tools and languages (Python, SQL, ML frameworks) Strong analytical mindset with the ability to structure problems and support data‑driven decision making Curiosity and continuous learning attitude toward AI and digital transformation Experience with data analysis and data strategy, including data governance, data quality, and ethical AI considerations

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