Proactive Technology Management

HQ
Detroit
50 Total Employees
Year Founded: 2007

Jobs at Proactive Technology Management

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Information Technology
Run 30-day AI Jumpstart Discovery engagements embedded in healthcare clients: lead stakeholder interviews and workshops, map current/future-state BPMN, prioritize ROI-defensible opportunities, QA AI-generated deliverables, address data/integration/HIPAA blockers, and carry Discovery into implementation SOWs.
Information Technology
Lead a 90-day discovery and implementation engagement to inventory and govern a Fortune-class enterprise's Power Platform, Copilot Studio, and M365 estate. Deliver a risk-ranked inventory and prioritized governance backlog, deploy CoE Kit and ALM pipelines, implement Purview-aligned classification, DLP, retention and audit, operationalize Copilot agent governance, and build observability with Azure Monitor/Log Analytics/Application Insights and Power BI plus architecture and delivery artifacts.
Information Technology
Technical lead who implements AI-enabled production systems in clients' Azure subscriptions: write production code, provision infra with Bicep+azd, integrate observability and identity, build agentic systems, pair with a second engineer, and deliver KPI-driven vertical slices and handoff/runbook artifacts.
Information Technology
Lead the Microsoft Purview/M365 compliance lane of a 90-day governance engagement: discover and assess M365 information protection posture, design and deploy label taxonomy and auto-labeling, implement DLP across services, operationalize retention and audit, configure Purview-for-Copilot DSPM controls, enable observability via Azure Monitor/Log Analytics/KQL and Sentinel, author solution architecture artifacts, and coordinate with the Power Platform lane.
Information Technology
Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.