AI & Analytics Business Partner

Trinity Health•Dallas, TX

12d•Onsite

About The Position

Trinity Industries is seeking an AI & Analytics Business Partner to serve as a critical bridge between our data and analytics capabilities and key business functions. This role will be based in our Dallas, TX office and will report to the Senior Vice President, Technical Services & Quality. As an embedded partner to the business, this position will drive data-informed decision-making across assigned functional areas by translating complex data insights into actionable strategies — and by actively leveraging artificial intelligence to accelerate and elevate the quality of those insights. This role requires a collaborative, analytically minded professional who can engage at all levels of the organization — from front-line teams to senior leadership — and influence outcomes through data storytelling, strategic thinking, and trusted partnership. A genuine enthusiasm for AI tools and an eagerness to apply emerging capabilities to real business problems are essential to success in this role.

Requirements

Bachelor's degree in Data Science, Business Analytics, Statistics, Information Systems, or a related field.
A minimum of 5 years' experience in a data analytics, business intelligence, or data strategy role, with at least 2 years in a business-facing or partnership capacity.
Demonstrated ability to translate business needs into analytical requirements and deliver insights that drive measurable outcomes.
High interest in and working knowledge of AI technologies, including generative AI, large language models, and machine learning applications in a business context.
Hands-on experience using AI-powered tools (e.g., Microsoft Copilot, ChatGPT, Claude, or similar) to accelerate analysis, automate workflows, or enhance business communications.
Proficiency in data visualization tools (e.g., Power BI, Tableau) and experience building executive-level dashboards and reports.
Working knowledge of SQL; familiarity with Python or R is a plus.
Strong understanding of data governance principles, data quality management, and master data concepts.
Experience operating in a matrixed environment requiring cross-functional collaboration and influence without direct authority.
Excellent communication and interpersonal skills, with the ability to engage and build credibility with stakeholders at all levels.
Demonstrated curiosity and a continuous learning mindset, particularly around emerging data and AI technologies.
Results-oriented with strong analytical problem-solving skills and attention to detail.
Ability to manage multiple priorities simultaneously in a fast-paced, dynamic environment.

Nice To Haves

Master's degree (MBA, MS Analytics, or equivalent) preferred.
Manufacturing, industrial, or rail industry experience preferred but not required.

Responsibilities

Serve as the primary data and analytics liaison for assigned business units, building deep understanding of their goals, challenges, and decision-making processes.
Translate business questions into analytical problems, partnering with data engineering and analytics teams to deliver timely, accurate, and relevant insights.
Develop and maintain dashboards, reports, and self-service tools that empower business stakeholders to access and interpret data independently.
Proactively identify opportunities where data, analytics, and AI can drive operational efficiency, revenue growth, or risk reduction within supported functions.
Lead requirements gathering sessions with business leaders, ensuring analytics and AI-powered deliverables align with strategic priorities and measurable outcomes.
Champion data and AI literacy across the organization by coaching business users on data interpretation, quality standards, responsible AI use, and best practices.
Actively explore, evaluate, and pilot AI tools — including large language models, generative AI, and machine learning solutions — to enhance the speed, depth, and accessibility of business insights.
Act as a trusted advisor to functional leaders, providing data-driven perspectives to inform planning, forecasting, and performance management.
Collaborate with data science and engineering teams to prioritize the analytics roadmap based on business value and urgency, incorporating AI-powered capabilities where appropriate.
Facilitate regular business reviews using data insights to track KPIs, highlight trends, and surface actionable recommendations.
Ensure analytics solutions are fit-for-purpose, user-friendly, and aligned to the business unit's workflows and reporting cadence.
Identify and implement AI-assisted workflows that reduce manual effort and improve decision cycle times for business partners.
Serve as an internal advocate and early adopter of AI tools, staying current on emerging technologies and identifying practical applications within the business.
Partner with IT, data engineering, and business leaders to assess, deploy, and scale AI solutions that address high-impact business problems.
Develop use cases and business cases for AI adoption, clearly articulating expected value, risks, and implementation considerations.
Promote responsible and ethical use of AI, ensuring transparency, fairness, and alignment with company data governance standards.
Partner with the data governance team to ensure business definitions, data standards, and metrics are consistently applied across the organization.
Advocate for data quality improvements by identifying gaps, inconsistencies, or limitations in source data and escalating appropriately.
Support the development and adoption of a common data dictionary and business glossary within assigned functional areas.
Present complex analytical findings — including AI-generated insights — to non-technical audiences in a clear, compelling, and decision-ready format.
Develop executive-level summaries and presentations that synthesize data insights into strategic narratives.
Maintain a feedback loop with stakeholders to continuously refine and improve the relevance and usability of data and AI-powered products.