Press Tab to Move to Skip to Content Link When you work for AmeriGas, you become a part of something BIG! Founded in 1959, AmeriGas is the nation’s premier propane company, serving over 1.5 million residential, commercial, industrial and motor fuel propane customers. Together, over 6,500 dedicated professionals will deliver over 1 billion gallons of propane from 1,800+ distribution points across the United States. Job Summary (Purpose)

Do you have the right skills and experience for this role Read on to find out, and make your application. The Sr Director of Data & Analytics serves as both the strategic business leader and technical expert for the AmeriGas data organization, providing comprehensive leadership across all data science, engineering, and business intelligence/analytics initiatives. Working in collaboration with the IT organization, this role sits within the functional business and combines technical expertise with business acumen to drive organizational transformation through data-driven decision making. The position requires the ability to lead high-performing teams of data professionals, manage stakeholder relationships across all organizational levels, and serve as the primary champion for data initiatives in AmeriGas. Critical to this role's success is stakeholder engagement and stakeholder education to ensure data tools meet overall business objectives, are adopted by users, and continually improved based on feedback. Major Responsibilities Strategic Leadership & Business Partnership • Develop and execute comprehensive technical and business strategy for all data science, data engineering, and business intelligence initiatives • Serve as the primary liaison between the data organization and senior leadership, translating business/stakeholder objectives into data requirements and technical solutions • Represent the data organization in enterprise-wide UGI initiatives, providing thought leadership on data capabilities and strategic opportunities • Manage vendor relationships and external partnerships to support organizational objectives •Lead organizational change initiatives related to data adoption, education, and process automation • Establish comprehensive data governance framework including security, compliance, and technical standards; implement data stewardship and ownership structures with business partners; and develop automated governance platforms to address infrastructure gaps in collaboration with IT teams • Design and implement enterprise data architecture including the creation, expansion, and governance of an AmeriGas data store/mart. Using a medallion architecture, this data repository is to be the standardized, governed, and cleaned dataset upon which all data science, business intelligence, and generative AI solutions within AmeriGas are built upon • Lead integration initiatives that connect disparate data sources into the standardized platform • Design and implement scalable data pipelines and ETL processes using modern cloud platforms (Databricks, Snowflake) • Oversee data quality monitoring, testing, and validation frameworks that ensure reliable data products • Manage cloud infrastructure optimization, cost control, and performance monitoring Data Science Leadership • Direct the development, deployment, and maintenance of critical statistical and machine learning models including but not limited to: demand forecasting, customer churn prediction, and gross margin measurement, forecasting, and optimization • Ensure statistical rigor and scientific methodology in all analytical work, with focus on interpretability and business applicability • Guide organizational discussions on generative AI strategy and provide technical input on AI solution selection, while leveraging these technologies to develop and deploy generative AI tools and applications built on the AmeriGas data mart Business Intelligence and Project Management • In collaboration with the business and stakeholders, direct the development, deployment, and maintenance of business intelligence tools/apps that disseminate otherwise hard to interpret data and insights into easy to digest and manipulate dashboards • Oversee the planning, execution, and delivery of all data project initiatives (Data Engineering → Data Science → Business Intelligence), ensuring projects are completed on time, within budget, and to business/stakeholder requirements • Coordinate resource allocation and priority management across multiple concurrent projects, balancing immediate needs with long-term strategic objectives • Implement structured communication protocols that keep stakeholders informed and engaged throughout project lifecycles • Drive continuous improvement in project delivery methodologies and organizational efficiency • Ensure all teams follow best practices in CI/CD / version control / documentation Organizational Leadership & Team Developmen t • Build and lead high-performing teams of data scientists, data engineers, systems engineers, and business intelligence professionals • Provide inspirational leadership that fosters collaboration, innovation, and continuous improvement across all data teams • Mentor and develop team members with focus on both technical excellence and business acumen, ensuring data solutions meet stakeholder needs • Establish clear performance expectations and accountability frameworks that balance technical rigor with business impact Knowledge, Skills & Abilities Business & Strategic Acumen • Deep understanding of business operations with ability to identify opportunities for data-driven improvements • Knowledge of budgeting, resource planning, and vendor management • Experience with project management methodologies and business process improvement • Strong analytical and problem-solving skills with ability to approach complex challenges systematically Leadership & Communication • Strong emotional intelligence and ability to navigate organizational politics effectively • Exceptional verbal and written communication skills with demonstrated ability to engage audiences at all organizational levels • Experience managing change initiatives and driving adoption of new technologies and processes • Proven ability to translate complex technical concepts into business value and actionable insights Technical Leadership Excellence • Knowledge of modern data engineering tools and cloud platforms (Python, Qlik, SQL, Databricks, Snowflake) • Proficiency in statistical analysis, machine learning, and predictive modeling techniques • Deep understanding of data architecture, governance, and quality management principles • Experience with, or willingness to learn, MLOps practices, model deployment, and production system management • Experience with or drive to learn modern generative AI solutions, including LLM and RAG model deployment, with understanding of underlying data requirements to optimize AmeriGas data architecture for AI utilization Understanding E ducation & Experience Requirements • Master's degree in Data Science, Computer Science, Statistics, Economics, Engineering, or related analytical field; MBA preferred. This requirement may be satisfied by 20+ years in data-related roles or a Bachelor's degree in an aforementioned field with 15+ years of data-related experience • 10+ years of experience in data science, data engineering, business intelligence, or data analytics roles with demonstrated technical and business leadership • 5+ years of management experience leading cross-functional teams and complex analytical projects • Proven track record of developing and deploying analytical models in production environments • Experience with modern data architecture and cloud computing platforms • Demonstrated success in stakeholder management and business partnership roles • Experience in project management, change management, and organizational #LI-Hybrid AmeriGas Propane, Inc. is an Equal Opportunity Employer. The Company does not discriminate on the basis of race, color, sex, national origin, disability, age, gender identity, sexual orientation, veteran status, or any other legally protected class in its practices. AmeriGas is a Drug Free Workplace. Candidates must be willing to submit to a pre-employment drug screen and a criminal background check. Successful applicants shall be required to pass a pre-employment drug screen as a condition of employment, and if hired, shall be subject to substance abuse testing in accordance with AmeriGas policies. As a federal contractor that engages in safety-sensitive work, AmeriGas cannot permit employees in certain positions to use medical marijuana, even if prescribed by an authorized physician. Similarly, applicants for such positions who are actively using medical marijuana may be denied hire on that basis.

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