Top Senior Data & Analytics Jobs in Detroit, MI

Collects, analyzes, and presents automotive business data to support strategic and operational decisions. Develops dashboards, data models, reports, business cases, and actionable recommendations using BI tools and advanced analytics. Partners with operations, PMO, customers, and internal stakeholders to identify trends, quantify improvement opportunities, monitor performance, and communicate insights through visualizations and presentations.

Leads business intelligence and analytics initiatives across a healthcare system. Gathers data, develops routine and ad hoc reports, creates visualizations, interprets findings, and advises executives, clinicians, and operational teams. Improves reporting processes, manages complex requests and deadlines, communicates complex information clearly, and mentors peers while supporting strategic and operational goals.

Build and operate large-scale data infrastructure supporting AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, dataset versioning, reproducibility, and high-throughput delivery for accelerator-based training. The role requires operating petabyte-scale storage and pipeline systems, applying distributed systems and data modeling expertise, and following strong software engineering practices such as testing, CI/CD, and code review.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Leads enterprise business intelligence development, translating stakeholder goals into scalable dashboards, reports, KPIs, and analytics. Partners with data engineering, mentors developers, leads medium-sized projects, supports QA and production applications, researches system issues, and contributes to BI architecture, roadmap planning, user education, and stakeholder prioritization. The role includes rotational after-hours on-call support and minimal travel.

Leads enterprise data stewardship standards by maintaining glossaries, canonical definitions, business rules, RACI accountability, and decision records. Facilitates cross-functional forums to resolve terminology and governance conflicts, partners with Data Governance and business process owners, and ensures standards are reflected in planning systems, analytics, data products, and AI initiatives. Tracks adoption and supports stewardship operating-model maturity within a matrixed biotechnology organization.

Manages the enterprise Data Governance and Analytics Center of Excellence, leading staff, governance initiatives, analytics strategy, maturity modeling, budgets, vendors, and planning. Coordinates data quality, stewardship, privacy, acquisition, and release programs while partnering with data scientists, engineers, technology governance teams, and business stakeholders. Develops executive presentations, aligns enterprise definitions and algorithms, establishes standards, and ensures analytics projects and business cases meet organizational objectives and deadlines.

Leads the Americas Business Intelligence Center, managing research leaders and delivering market, competitor, industry, company, and financial intelligence for business development and client delivery. Partners with senior stakeholders, oversees research quality and commercial support, drives responsible generative AI adoption, improves workflows and reporting, manages research vendors and subscriptions, and develops a high-performing team.

Administer, optimize, and secure enterprise Microsoft SQL Server environments. Lead performance tuning, high availability, disaster recovery, monitoring, automation, upgrades, patching, and migrations. Support reporting and analytics workloads using SSRS and Qlik, maintain documentation and operational processes, collaborate with application and infrastructure teams, mentor junior engineers, and participate in on-call support.

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.