Recru · 13 hours ago
Manager of Data & Analytics
Recru is seeking a Manager of Data and Analytics to lead a team responsible for designing, enhancing, integrating, and maintaining enterprise IT platforms that support Business Intelligence, Artificial Intelligence, and reporting capabilities. The role involves overseeing the development of BI and AI solutions, ensuring data integration across business units, and collaborating with stakeholders to drive project execution.
Responsibilities
Mentor and manage a team of data analysts and developers, fostering a culture of accountability, collaboration, and technical excellence
Oversee the design, development, and optimization of BI, AI/ML, and reporting solutions using Palantir Foundry
Ensure seamless integration of data across business units to enable unified enterprise analytics and reporting
Provide ongoing operational support and maintenance to ensure platform reliability, stability and performance
Collaborate with IT technical teams to identify and address system resiliency requirements
Partner with business units and IT stakeholders to develop solutions and advise on various opportunities
Contribute to the development and improvement of enterprise-wide governance for Palantir Foundry, including data access policies, ontology standards, user provisioning, auditing, and risk mitigation
Drive timely execution of projects aligned with Kinder Morgan’s technology strategy and project methodology
Identify and integrate core datasets into BI and AI frameworks to support advanced analytics
Develop automated reporting and monitoring tools to proactively detect and resolve platform issues
Respond to business needs during and outside standard working hours as required
Qualification
Required
Bachelor's degree in Business, Computer Engineering, Computer Science, Statistics, or Mathematics
5+ years of relevant technology experience, including team leadership
Proficiency in front-end tools (Visual Studio C#, Power BI, Palantir Foundry) and back-end ETL/automation (SQL, SSIS, SSAS, Python, PySpark)
Knowledge of software development lifecycles and source code management
Advanced Microsoft Office skills
Experience building BI platforms using Microsoft technologies (SQL Server, SSRS, SSAS, SSIS, Power BI)
Familiarity with AI/ML programming languages (Python, PySpark, R)
Preferred
Experience with Palantir Foundry and AIP
Background in data science