8 days ago
Chicago, IL, USA or Edina, MN, USASenior
Base Salary
$118k - $206k/yr
Responsibilities
- Own implementation, configuration, administration, and production readiness for assigned enterprise AI tooling platforms.
- Design and support integrations between enterprise source systems and AI tooling platforms, including connectors, pipelines, event streams, automation, and synchronization workflows.
- Onboard internal and customer-facing applications and define integration, instrumentation, identity, schema, event, and data requirements.
- Develop event-tracking plans, taxonomies, naming conventions, properties, instrumentation specifications, metrics, dashboards, and analytical views.
- Validate data completeness, accuracy, timeliness, lineage, sequencing, identity resolution, and schema consistency.
- Troubleshoot complex platform, authentication, integration, performance, data-flow, and data-quality issues and implement corrective actions.
- Monitor platform usage, adoption, license utilization, data volume, cost, performance, operational health, and lifecycle risks.
- Partner with Product, Engineering, Data, Architecture, Security, Governance, Privacy, Procurement, and business teams on adoption, compliance, documentation, enablement, and continuous improvement.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field, or equivalent practical experience.
- Strong experience in software engineering, platform engineering, data engineering, analytics engineering, product analytics, or a closely related technical discipline.
- Hands-on experience implementing, integrating, configuring, or operating enterprise SaaS, engineering, analytics, developer-productivity, or AI tooling platforms.
- Experience with APIs, SDKs, connectors, event streams, data pipelines, integrations, and application instrumentation.
- Strong SQL proficiency and ability to validate platform and analytics data against source systems.
- Experience troubleshooting complex platform and data-flow issues using structured root cause analysis and corrective action.
- Experience developing metrics, dashboards, and analytical views for product, engineering, operational, or business decisions.
- Ability to assess application architecture and translate stakeholder needs into technical integration, instrumentation, data, and analytics requirements.
- Experience working cross-functionally in a large-enterprise environment.
- Strong documentation, communication, stakeholder-management, prioritization, and problem-solving skills.
- Ability to independently manage work from requirements intake through implementation, validation, documentation, handoff, and ongoing support.
- Preferred experience with Jellyfish, Amplitude, product analytics, experimentation, session replay, customer-data platforms, feature-management tools, developer-productivity platforms, JavaScript, TypeScript, Python, Java, Azure, Databricks, or Power BI.
- Preferred experience supporting AI applications, conversational products, internal developer tools, copilots, or enterprise AI platforms, including familiarity with LLM applications, prompt workflows, AI observability, model telemetry, latency, reliability, token consumption, and AI cost measurement.
- Experience in healthcare, regulated industries, or complex large-enterprise environments is preferred.
Benefits
- Vizient provides a comprehensive benefits plan.
- The position is incentive eligible.
Tech Stack
Categories
Data EngineeringDevOps
