Business Transformation Associate

Summary

Key Responsibilities

Support Transformation Execution 

• Assist in mobilizing cross-functional delivery teams to execute technology and operational transformation initiatives within a hybrid Waterfall and SAFe Agile environment. 
• Support alignment between strategic objectives, delivery roadmaps, and execution plans by helping coordinate activities across technology, business, data, and AI-enabled solution teams. 
• Contribute to the preparation, organization, and tracking of transformation programs, including initiatives that leverage AI, analytics, and automation to improve efficiency and decision-making.

Facilitate Change & Collaboration

• Support change management activities by helping document processes, analyze current-state workflows, and identify improvement opportunities, including opportunities for AI-enabled process optimization. 
• Assist in prioritization activities by leveraging analytical skills to assess initiatives, dependencies, and value drivers, including data- and AI-driven use cases. 
• Foster effective cross-functional collaboration by supporting workshops, meetings, and working sessions that bring together technical, AI, and non-technical stakeholders. 
• Help identify and remove execution barriers by coordinating with stakeholders and escalating risks and issues as needed. 

Drive Progress & Measurable Outcomes 

• Support the tracking and monitoring of transformation progress using metrics, dashboards, and reporting tools, including those enhanced by predictive analytics or AI-based insights, to ensure transparency and accountability. 
• Assist in defining, measuring, and reporting on outcomes and key performance indicators (KPIs) aligned with transformation objectives and AI adoption goals. 
• Contribute to the successful delivery of execution roadmaps by supporting status reporting, data analysis, and continuous improvement informed by AI and analytics. 

Promote New Ways of Working 

• Act as a catalyst for organizational change by supporting the adoption of AI-enabled, and data-driven ways of working across teams. 
• Help document and socialize best practices, lessons learned, and process improvements related to AI, automation, and advanced analytics to accelerate organizational maturity. 
• Leverage analytical thinking and technical understanding to support teams in adopting modern tools, AI technologies, methodologies, and collaboration practices. 

Provide a Fresh, External Perspective 

• Bring an external, analytical viewpoint to challenge existing assumptions, processes, and delivery approaches, including how AI and advanced analytics can be applied to improve outcomes. 
• Identify opportunities for continuous improvement within the hybrid Waterfall and SAFe framework using data, AI insights, and structured analysis. 
• Support innovation by proposing evidence-based improvements to processes, tools, and execution models, including responsible and practical AI use 

Critical Qualifications

• Bachelor’s degree in a relevant field such as Computer Engineering, Computer Science, Information Technology, Data Science, Business Administration, or a related discipline. 
• 2 plus years of experience in a similar role with expertise in data visualization or analytics 
• Foundational understanding of project management principles and Agile methodologies (e.g., Scrum, SAFe, or hybrid delivery models). 
• Exposure to artificial intelligence, machine learning, data analytics, or automation concepts, gained through academic, project, or practical experience. 
• Strong analytical and problem-solving skills, with the ability to interpret data and AI-generated insights to support decision-making. 
• Experience or familiarity with dashboards, reporting, monitoring frameworks, or AI-assisted analytics tools is an asset. 
• Excellent verbal and written communication skills, with the ability to engage effectively with technical, AI, and non-technical stakeholders. 
• Proficiency in Microsoft Office Suite

Preferred Qualifications

• Highly motivated, proactive, and eager to contribute to technology, data, and AI-driven transformation initiatives. 
• Intellectually curious with a strong interest in AI, emerging technologies, and organizational change. 
• Ability to constructively challenge existing processes and suggest data- and AI-informed improvements. 
• Collaborative team player with strong interpersonal and facilitation skills. 
• Results-oriented mindset with a focus on delivering measurable outcomes through technology and AI-enabled solutions