Top Senior Data & Analytics Jobs in Ann Arbor, MI

Build, operate, and modernize scalable data pipelines and warehouse environments for lottery reporting, analytics, and AI readiness. Improve ingestion, transformations, data models, contracts, observability, lineage, and onboarding patterns. Automate operations, troubleshoot production issues, mentor engineers, and support migration from legacy to cloud architectures while ensuring data quality, reliability, and regulatory continuity.

Lead creation and publication of data-driven economic research using Life360 first‑party and external data. Develop seasonal adjustment frameworks, craft public narratives, serve as company spokesperson, partner with Data & Analytics, Product, and Comms, and build data‑storytelling methodology within compute and time-series constraints.

As Director of Data Engineering, you will lead teams to deliver data solutions on Databricks, overseeing data architecture, pipeline development, and AI integration while ensuring accountability and continuous improvement.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Manager, Monitoring Coverage & Analytics leads assessments of transaction monitoring effectiveness, partners with analytics and operations teams, and supports regulatory readiness. Responsibilities include optimizing monitoring rules, analyzing metrics, and documenting findings for compliance.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead the architecture and delivery of enterprise data platforms, optimize data pipelines, enable AI/ML use cases, engage clients on technical strategy, and develop the data platform team.

Lead Analytics Engineer responsible for end-to-end data solution design, evolving data architecture, mentoring engineers, driving data health and observability, enabling cross-functional measurement, and contributing to roadmap and decision-making.

Lead and build Harvey’s people analytics function: design the people data architecture, consolidate HR systems, define metrics and methodology, create dashboards and forecasting models, surface leading indicators for intervention, enable self-serve analytics, and partner with People Ops, Recruiting, Finance, and Data Engineering to drive strategic workforce decisions.

Own and cleanse payments data to produce accurate Power BI dashboards and forecasts. Analyze interchange, ACH, VCC, and check costs to identify margins and optimization opportunities. Deliver executive-level storytelling, perform rigorous reconciliations, and act as an internal consultant to guide resource allocation and reduce payment costs.