Top Data & Analytics Jobs

Manage global contact center reporting and analytics, develop dashboards and metrics, maintain data accuracy, identify trends and outliers, and provide insights supporting operational efficiency, customer satisfaction, CRM, survey reporting, and business decisions. Collaborate with stakeholders and department leads to deliver ad hoc reporting and optimize analytics for reacquired vehicles and roadside assistance.

Leads Ford Energy’s enterprise master data governance program across Salesforce, SAP, PLM, and MES. Establishes governance policies, golden-record standards, quality gates, compliance controls, and data monitoring across customer, supplier, finance, material, and manufacturing domains. Prepares high-quality data for AI and advanced analytics, aligns system-of-record definitions, supports release milestones, manages consultants and stakeholders, and plans the future enterprise data organization.

Build and operate scalable GCP data pipelines for industrial sensor, PLC, waveform, image, and video data across Ford manufacturing plants. Responsibilities include data modeling, quality controls, governance, lifecycle management, ML dataset enablement, MLOps support, monitoring, cost optimization, and platform security. The role sets data engineering standards, leads technical designs, mentors engineers, and supports plant onboarding and production operations.

Build and maintain Ford Racing’s customer data architecture and single source of truth across sales, service, merchandise, vehicles, experiences, and events. Manage internal and third-party data partnerships, develop integrated data solutions, frame business questions, synthesize findings into actionable recommendations, maintain a research repository, and ensure privacy and consent compliance.

Designs, builds, deploys, and optimizes scalable GCP data platforms and pipelines. The role manages ingestion, transformation, governance, security, orchestration, infrastructure as code, automation, monitoring, and cost efficiency. It integrates data systems and services, translates business requirements into reliable data solutions, collaborates with technical stakeholders, documents processes, and promotes engineering best practices.

Manage enterprise data-use requests and privacy reviews while supporting data governance, security, access management, and regulatory compliance. Analyze data using BigQuery, Alteryx, R, Python, SQL, PostgreSQL, and MongoDB. Collaborate with legal, business, security, risk, and technology stakeholders to implement privacy safeguards, support GDPR and CCPA audits, improve governance processes, and ensure responsible data use across Ford.

Design and govern Ford’s product-centric data platform architecture on GCP. Lead streaming pipelines, APIs, schema governance, data modeling, infrastructure-as-code, CI/CD, containerized services, and reusable developer frameworks. Establish technical roadmaps and architectural standards while mentoring data engineering teams and improving developer experience. The role requires extensive experience with cloud data platforms, Python, SQL, Java or Go, streaming technologies, Spark, Airflow, Terraform, and container orchestration.

Lead a global, AI-first Data Analytics and BI organization that integrates internal teams and vendors to deliver proactive, predictive insights. Design the future operating model, own metric governance and semantic layer, consolidate dealer and CX data, and migrate legacy reporting to cloud-native architectures while partnering closely with central tech teams.

Design and implement data strategy and architectures for Industrial Systems. Define data domains, create and maintain enterprise, conceptual, logical and physical models, onboard and profile sources into the IS data platform, set data-quality metrics, establish architecture standards, and guide product teams on GCP data engineering implementations.