Data Strategy & Enrichment Associate

As a Data Strategy and Enrichment Associate/Lead, your role will involve owning and driving the Customer 360 (C360) and Vehicle 360 (V360) platforms. You will be responsible for integrating multiple internal and external data sources, building comprehensive customer and vehicle intelligence platforms, and enabling business teams with actionable insights. Key Responsibilities: - Own the roadmap, development, and enhancement of the C360 and V360 platforms. - Build and maintain unified customer and vehicle intelligence layers by integrating multiple data sources. - Define data models, enrichment strategies, and quality standards to improve data coverage and accuracy. - Identify and onboard new data sources to strengthen the platforms. - Design and manage scalable data warehouse solutions. - Develop ETL/ELT pipelines for structured and semi-structured data. - Identify, evaluate, and onboard external data providers. - Develop enrichment frameworks to maximize customer and vehicle intelligence. - Collaborate with Data Science teams to support model development. - Gather requirements and translate them into scalable data solutions. - Present insights and project updates to senior stakeholders. Required Skills: - Strong SQL expertise and Python programming skills. - Experience with data warehousing concepts and ETL/ELT pipelines. - Knowledge of data quality, governance, and metadata management. - Understanding of data enrichment, machine learning, and feature engineering. - Strong stakeholder management and communication skills. - Ability to convert business requirements into technical solutions. - Problem-solving, prioritization, and project management capabilities. Preferred Qualifications: - Experience working with customer, mobility, automotive, insurance, lending, fintech data. - Exposure to customer identity resolution, demographics, financial behavior, telematics, etc. - Understanding of data privacy, compliance, and consent management. In this role, your success will be measured by the increased coverage, quality, and depth of the C360 and V360 platforms, faster onboarding of new data sources, higher adoption of datasets, improved reliability, and delivery of high-impact business use cases. If you are a hands-on data professional with experience in data warehousing, data enrichment, and stakeholder consulting, capable of driving measurable business impact, we encourage you to share your resume. As a Data Strategy and Enrichment Associate/Lead, your role will involve owning and driving the Customer 360 (C360) and Vehicle 360 (V360) platforms. You will be responsible for integrating multiple internal and external data sources, building comprehensive customer and vehicle intelligence platforms, and enabling business teams with actionable insights. Key Responsibilities: - Own the roadmap, development, and enhancement of the C360 and V360 platforms. - Build and maintain unified customer and vehicle intelligence layers by integrating multiple data sources. - Define data models, enrichment strategies, and quality standards to improve data coverage and accuracy. - Identify and onboard new data sources to strengthen the platforms. - Design and manage scalable data warehouse solutions. - Develop ETL/ELT pipelines for structured and semi-structured data. - Identify, evaluate, and onboard external data providers. - Develop enrichment frameworks to maximize customer and vehicle intelligence. - Collaborate with Data Science teams to support model development. - Gather requirements and translate them into scalable data solutions. - Present insights and project updates to senior stakeholders. Required Skills: - Strong SQL expertise and Python programming skills. - Experience with data warehousing concepts and ETL/ELT pipelines. - Knowledge of data quality, governance, and metadata management. - Understanding of data enrichment, machine learning, and feature engineering. - Strong stakeholder management and communication skills. - Ability to convert business requirements into technical solutions. - Problem-solving, prioritization, and project management capabilities. Preferred Qualifications: - Experience working with customer, mobility, automotive, insurance, lending, fintech data. - Exposure to customer identity resolution, demographics, financial behavior, telematics, etc. - Understanding of data privacy, compliance, and consent management. In this role, your success will be measured by the increased coverage, quality, and depth of the C360 and V360 platforms, faster onboarding of new data sources, higher adoption of datasets, improved reliability, and delivery of high-impact business use cases. If you are a hands-on data professional with experience in data warehousing, data enrichment, and stakeholder consulting, capable of driving measurable business impact, we encourage you to share your resume.