2 months ago
San Pedro Garza García, MexicoStaff+
Responsibilities
- Lead the design, development, deployment, and technical delivery of scalable analytics solutions, enterprise metrics, reporting capabilities, integrations, and analytics products.
- Own the analytics delivery backlog and roadmap and translate business requirements into secure, robust, and scalable solutions.
- Define analytics engineering standards, design principles, best practices, architectural foundations, and technical roadmap recommendations.
- Oversee data pipelines, integrations, data models, data quality, governance, security, performance, disaster recovery, and support transitions.
- Collaborate with data scientists to create predictive modeling and analytics-ready datasets and enable business intelligence and advanced analytics solutions.
- Lead technical estimation, resource planning, Agile delivery, and coordination of onshore and offshore technical teams.
- Communicate project status, risks, issues, dependencies, and progress to stakeholders.
- Ensure compliance with enterprise architecture, security, governance, quality, documentation, traceability, configuration management, and record-retention standards.
- Partner with business stakeholders, enterprise architecture, infrastructure teams, vendors, and global delivery teams to identify analytics opportunities and deliver measurable value.
- Evaluate emerging analytics technologies, lead proof-of-concept and innovation initiatives, and improve platform scalability, connectivity, reliability, and operational excellence.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Statistics, Data Science, Engineering, Economics, Business, or a related field.
- At least 5 years of experience developing business intelligence and analytics solutions.
- Strong knowledge of data warehousing, database design, normalization, and data modeling.
- Experience with structured and unstructured data platforms.
- Strong proficiency in SQL, PL/SQL, and data manipulation tools.
- Experience with Power BI, Power Query, Power Pivot, SSAS, SQL Explorer, or similar business intelligence technologies.
- Experience working in Agile delivery environments with onshore and offshore teams.
- Strong communication, stakeholder management, troubleshooting, performance tuning, and issue resolution capabilities.
- Ability to work effectively in matrixed business and technology organizations.
- Preferred experience with Microsoft Azure analytics technologies, including Azure Machine Learning, Azure SQL Data Warehouse, HDInsight, HIVE, and Talend ELT.
- Preferred experience with Snowflake or other cloud-based data platforms.
- Preferred familiarity with predictive analytics, machine learning, advanced analytics frameworks, analytics technology evaluation, proof-of-concept initiatives, and enterprise-scale analytics transformations.
Benefits
- Hybrid work model aligned with business and team requirements.
- Occasional domestic and international travel may be required.
- Global collaboration with business leaders, data teams, infrastructure teams, vendors, and offshore delivery resources.
- Opportunity to shape analytics and data-driven decision-making at a global organization.
- Exposure to advanced analytics, cloud technologies, AI, and enterprise-scale data platforms.
- Professional development focused on analytics, leadership, and digital transformation.
- Career growth opportunities within a global organization committed to technology excellence and transformation.
About Clarios
Clarios manufactures low-voltage automotive batteries and energy-storage solutions for vehicle OEMs and the aftermarket, and is expanding into supercapacitors for data center and grid uses. The privately held company, headquartered in Glendale, Wisconsin, produces more than 150 million batteries a year, with products installed in roughly one in three vehicles worldwide. Its portfolio spans conventional flooded, AGM, and advanced 12‑volt systems supporting start‑stop, electrified, and auxiliary power needs.