Commercial Strategy & AI Analyst

Role Overview:
Join our Commercial Strategy team as an AI-forward analyst, applying cutting-edge AI tools and data analysis to help shape and execute Unisys's sales strategy. In this early-career role (ideal for candidates with internships or ~0-2 years experience), you will mix business insight, analytics, and automation to support sales leadership and accelerate growth. This is a high-visibility opportunity to work closely with commercial executives, leverage generative AI (e.g., Microsoft 365 Copilot or Claude) in your workflows, and build a strong foundation for a career in strategy or revenue leadership.

Key Responsibilities:

AI-Driven Innovation & Efficiency

• AI-First Analysis & Automation: Leverage generative AI tools (e.g., Copilot, LLMs) to accelerate your work - from drafting executive summaries and refining PowerPoint content to automating complex workflows.

• Continuous Improvement: Continuously explore new AI-enabled methods to reduce manual effort and improve the quality, clarity, and speed of strategy deliverables. Prototype small automation scripts or AI workflows that enhance team efficiency.

• Ad Hoc Problem Solving: Tackle ad hoc requests from commercial leadership (e.g., analyzing a sudden market change or evaluating a new sales initiative) using an AI-first approach to deliver rapid, insightful solutions.

Sales Insights and Storytelling

• Pipeline & Performance Analysis: Synthesize complex sales, pipeline, and revenue data into concise executive narratives for Board meetings and quarterly business reviews. Highlight trends, risks, and opportunities to keep leadership informed.

• Forecast Support: Provide data-driven insights and briefing materials for pipeline and forecast calls. Anticipate questions and translate ambiguous data into clear, focused insights and recommendations.

• Tools & Reporting: Utilize CRM and BI platforms (e.g., Salesforce, Power BI), including their AI-assisted features, to monitor pipeline health, analyze performance against targets, and deliver real-time insights to sales leaders.

Executive Strategy Support

• Leadership Enablement: Engage with Sales, Marketing, Finance, and Enablement teams on go-to-market initiatives, capturing key themes and action items to refine sales strategies.

• Rhythm of Business: Assist in planning and coordinating leadership meetings, all-hands calls, and strategy workshops - ensuring agendas are focused and outcomes are documented.

Required:

• Bachelor's Degree in a business, analytics, or technology field (e.g. Business Administration, Business Analytics, Data Science, Computer/Information Systems, or related) that fostered strong data-driven and AI-friendly skills.

• Applied Analytical Experience: Demonstrated experience applying analytics or AI tools - through internships, academic projects, or up to ~2 years of work - to solve business problems or improve processes.

• Data-to-Insight Skills: Proven ability to interpret and synthesize data into actionable insights, and link analytical findings to revenue or growth outcomes.

• AI Tool Proficiency: Hands-on experience with AI productivity tools (e.g., Microsoft 365 Copilot or Claude) for analysis, content generation, or workflow automation.

• Technical Proficiency: Strong skills in Excel and PowerPoint; familiarity with data visualization tools (e.g., Power BI) and willingness to adopt new AI-enabled tools to enhance analysis and content creation.

• Communication: Excellent written and verbal communication skills, with a knack for crafting clear, engaging narratives from complex information.

Preferred:

• Industry Exposure: Exposure to enterprise technology, IT services, or B2B sales environments (through coursework, projects, or work experience).

• Executive Support Experience: Experience supporting senior leaders or executives in a fast-paced setting, with comfort in adapting to changing priorities.

• Sales Domain Familiarity: Understanding of sales metrics, pipeline management practices, forecasting, and go-to-market concepts.

• Cross-Functional Collaboration: Comfort working in a matrixed organization and influencing cross-functional teams without direct authority.

What Success Looks Like:

• Commercial leaders rely on your analyses and briefings to inform C-level discussions, confident in the accuracy and insight you provide.

• The executive materials you produce (reports, slides, dashboards) are clear, concise, and decision-oriented, earning praise for their quality and impact.

• You integrate AI into daily workflows, consistently delivering faster and better outputs (e.g., reports generated in hours, not days; narratives enriched with AI-driven insights).

• You proactively identify emerging trends or issues and surface insights before being asked, demonstrating foresight and initiative.

• You are recognized as a trusted partner in strategy execution, valued for your analytical rigor, creativity in problem-solving, and reliability under tight deadlines.

• Through your work, Unisys's sales organization becomes more data-driven and AI-enabled, setting new standards for efficiency and innovation.

Why This Role at Unisys:

• Front-Row Exposure: Work closely with top commercial executives (including the CCO), gaining insight into high-level strategy and decision-making at a global IT services leader.

• AI-Powered Impact: Be at the forefront of integrating AI into sales strategy and operations - an opportunity to help shape how Unisys leverages AI to drive growth.

• Career Acceleration: Develop a unique blend of strategic, analytical, and technical skills that can fast-track your career toward senior roles in strategy, sales leadership, or commercial operations.

• Meaningful Contribution: This is a high-visibility role where your work will directly influence sales performance and company success, providing both challenge and recognition.

• Growth & Learning: You will join a forward-thinking team that values curiosity and development, offering mentorship and resources to help you continuously learn, innovate, and excel in the evolving AI era.