AI & Sales Operations Analyst
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Job Description
Mission:
The Data & AI Strategy Analyst plays a key role in enhancing sales performance and commercial decision-making through data, analytics, automation, and Artificial Intelligence. Working closely with Sales, Business Units, Digital teams, and Technical Teams the role identifies opportunities to optimize sales processes, improve forecasting, strengthen customer insights, and automate reporting. By translating business needs into scalable data and AI-driven solutions, the position supports the organization's digital transformation while delivering measurable improvements in sales effectiveness, productivity, and business growth.
Data & AI Strategy Development
• Support the definition, evolution, and execution of the organitzation Data & AI Strategy.
• Identify strategic opportunities where data, analytics, machine learning, automation, or Generative AI can improve operational sales efficiency, customer experience, revenue growth, or decision-making.
• Conduct industry benchmarking and monitor market trends, technologies, competitors, and emerging use cases.
• Support leadership in assessing investment priorities and strategic initiatives related to AI and data transformation.
AI Opportunity Identification & Use Case Management
• Partner with business leaders to understand challenges and identify opportunities for applying AI and advanced analytics.
• Facilitate workshops to collect, assess, and prioritize business needs.
• Create structured use case portfolios and opportunity pipelines.
• Evaluate potential initiatives based on business impact, implementation effort, technical feasibility, cost, risks, and expected return on investment.
• Support the development of proofs of concept (PoCs), pilot projects, and scaling initiatives.
• Track use case performance and business outcomes after deployment.
Stakeholder Engagement & Change Management
• Act as a liaison between sales functions, data teams, IT departments, and external vendors..
• Support organizational change initiatives related to data and AI adoption.
• Prepare communication materials, presentations, and executive updates.
• Deliver workshops, awareness sessions, and capability-building activities.
• Promote a culture of innovation, experimentation, and data-driven decision-making.
Requirements
Function: Engineering
Experience Level: Mid-Senior Level