AI & Analytics Business Partner

Responsibilities: Serve as the primary data and analytics liaison for assigned business units and understand their goals and decision processes Translate business questions into analytical problems and partner with data teams to deliver timely insights Develop and maintain dashboards, reports, and self-service tools for stakeholder access Identify opportunities where data, analytics, and AI drive efficiency, revenue growth, or risk reduction Lead requirements gathering with business leaders to align analytics deliverables with priorities Coach users on data interpretation, quality standards, and responsible AI practices Explore, evaluate, and pilot AI tools (LLMs, generative AI, ML) to enhance insights Act as trusted advisor on planning, forecasting, and performance management in collaboration with data science teams Prioritize analytics roadmap based on business value and urgency, incorporating AI where appropriate Ensure solutions are user-friendly and aligned with workflows and reporting cadence Identify and implement AI-assisted workflows to shorten decision cycles for partners Develop AI use cases and business cases with value, risks, and implementation considerations Promote responsible and ethical AI use aligned with data governance standards Partner with data governance to ensure consistent definitions and metrics across the organization Support data quality improvements and the creation of a common data dictionary and glossary Present complex findings to non-technical audiences and create executive-level summaries Maintain stakeholder feedback loops to refine data and AI-powered products

Key requirements: Bachelor in Data Science, Business Analytics, Statistics, Information Systems, or related field Master’s degree (MBA, MS Analytics, or equivalent) preferred Minimum 5 years in data analytics, BI, or data strategy roles At least 2 years in a business-facing/partnership capacity Ability to translate business needs into analytical requirements and deliver measurable insights Strong interest and working knowledge of AI technologies (generative AI, LLMs, ML) Hands-on experience with AI-powered tools (e.g., Microsoft Copilot, ChatGPT, Claude) Proficiency in data visualization (Power BI, Tableau) and building executive dashboards Working knowledge of SQL; Python or R a plus Understanding of data governance, data quality, and master data concepts Experience in a matrixed organization with cross-functional collaboration Excellent communication and interpersonal skills with stakeholders at all levels Curious, continuous learner mindset regarding AI and data technologies Results-oriented with strong analytical and problem-solving skills Ability to manage multiple priorities in a fast-paced environment Manufacturing, industrial, or rail experience preferred but not required communication interpersonal skills stakeholder management SQL Power BI Tableau