Get started on an exciting career at Element! _Element employees make a difference in the lives of others every day. We are redefining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like‑minded people on our team. The IT Data Manager at Element Fleet is responsible for overseeing and managing Element's data systems, ensuring the quality, integrity, security, and accessibility of data across the business. This role involves designing, implementing, and maintaining data management processes, policies, and procedures, as well as working closely with multifunctional internal and external project teams to ensure that the Element data supports the organizational goals and decision‑making. The role serves as a liaison between the business areas and the IT organization to guide and deliver all business data needs, managing the assigned budget to maximize resource usage. The IT Data Manager is responsible for its IT‑assigned team resources and direct reports' development, career path, and succession planning. Principal Responsibilities Data Governance and Management: develop and implement data management strategies and follow the corporate policies to ensure data is accurate, consistent, secure, and accessible across the organization. Data Architecture: collaborate with the rest of IT and the business teams to design and optimize the data infrastructure, including databases, data warehouses, and data lakes, to meet organizational needs. Data Quality & Integrity: establish and maintain data quality standards, perform data cleansing and implement data validation techniques to ensure high data integrity across systems. Data Security & Compliance: oversee and follow the established Element information security measures to protect sensitive and confidential information and ensure compliance with relevant laws and regulations. Data Integration & Migration: manage the integration of data across multiple platforms and systems, as well as the migration of data when systems or platforms are upgraded or decommissioned. Data Analysis, Reporting and AI: provide analytical support by utilizing corporate artificial intelligence (AI) tools by creating reports, dashboards, and advanced visualizations for stakeholders, ensuring data‑driven decision‑making for the business, including exploring predictive analysis. Continuous Improvement: stay up to date with emerging technologies, tools, and trends in data management, advanced analytics, and artificial intelligence (AI). Propose and implement improvements to systems and processes. Troubleshooting & Issue Resolution: address data‑related issues and perform root cause analysis to troubleshoot and resolve problems related to data systems, quality, or data access. Collaboration & Communication: work alongside the different business area leaders (local and general) in the identification and definition of new data and AI initiatives that follow the business objectives. Financial Accountability: manage the data and AI program‑assigned resources, internal and contractors, within the assigned annual CapEx and/or OpEx budget. Team Leadership: manage the development and succession planning of the direct reports the position has, limiting rotation, regrettable attrition, and loss of IT business knowledge. Education and Experience Bachelor's degree in an area related to Computer Science, Information Technology, Data Science, Data Management, Mathematics, or related Data or IT field. Proven experience (5+ years) in data management, data analysis or related IT field. Strong knowledge of data management principles, data modeling, data warehousing, and data integration techniques. Proficiency with database management systems (DBMS) such as SQL Server, Postgres and MySQL as well as data processing and integration tools. Experience with data governance frameworks, data security practices, and compliance requirements. Knowledge or artificial intelligence (AI) models and engines applied to business solutions. Strong project management and leadership skills, with the ability to manage multiple priorities. Strong problem‑solving skills and attention to detail. Proficient in data visualization tools (e.g., Tableau, Power BI) and cloud‑based data storage and processing platforms (e.g., Snowflake, Google Cloud, AWS). Excellent communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders. Experience with tools for data modeling and/or data cleansing. Experience working in dynamic groups, taking initiative, working independently, and collaborating with others when necessary. Medium to advanced proficiency of English and Spanish (spoken, written and read). What's in it for You A culture of innovation, empowerment, decision‑making, and accountability. Comprehensive health and welfare benefits that se #J-18808-Ljbffr