Top Senior Data & Analytics Jobs in Ann Arbor, MI

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Leads Ascent’s data practice, including DBAs, analysts, and engineers; owns the data roadmap, warehouse, Snowflake modeling, integrations, governance, reporting modernization, data quality, backup, retention, budget, and delivery standards. Partners with software teams, resolves complex data issues, supports customer-facing reporting, coaches staff, manages offshore teams, and introduces AI tools into development and delivery.

Design and build BI solutions and dashboards to surface KPIs and drive decisions. Partner with stakeholders to define metrics, extract and model data (SQL/Python), automate reporting, validate data quality, and provide ad-hoc analysis and predictive insights to leadership.

Senior individual contributor owning marketing data domain end-to-end: design, build, and operate data pipelines, models, governance, and certified data products across Microsoft Fabric and Google BigQuery to support marketing measurement, attribution, reporting, and self-service analytics.

Lead architecture and strategic direction for an enterprise data platform across ingestion, storage, processing, governance, and consumption. Define standards for modeling, lifecycle management, lineage, and cataloging; partner with engineering, analytics, ML, and business teams to deliver scalable, production-grade data infrastructure.

Lead development and operation of the enterprise Data & Analytics platform. Own roadmap, platform capabilities, CI/CD, automated provisioning, monitoring, governance, cost optimization, and incident management. Partner with engineering, architecture, security, and business teams, act as product owner for platform services, and manage a team of platform engineers to enable self-service, secure, and scalable data delivery.

Design and implement OBIEE solutions and enterprise dashboards for capital markets. Develop RPD models and presentation layers, apply dimensional modeling and data warehouse best practices, enforce OBIEE security/roles, produce technical specifications, prioritize tasks, and liaise with clients and IT teams to gather requirements and deliver analytics solutions.

Design, architect, and implement end-to-end data ingestion, storage, modeling, and provisioning solutions on the GE Predix platform. Lead cross-functional teams, set data architecture standards, develop OLTP/OLAP models, perform POCs, and enable analytics at scale while enforcing data management policies.

Design, build, and maintain enterprise analytics solutions and semantic data models using Microsoft Fabric, Databricks, SQL, Python, and Power BI. Develop reporting datasets, dashboards, and self-service analytics; ensure data quality, performance, CI/CD, and governance; translate business requirements into scalable solutions; provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to align analytics with business objectives.