Data & Analytics Tech Lead — AI, Cloud & Strategy (Hybrid)

RSM US LLP

Irvine (CA)

Hybrid

USD 112,000 - 226,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model

Job summary

RSM US LLP is seeking an experienced Hands-On Data and Analytics Technical Manager to architect and implement data and analytics solutions for clients while guiding strategic data roadmaps. You will lead technical and project teams, troubleshoot complex challenges, and translate client needs into scalable architectures.

This client-facing role blends technical architecture with delivery leadership across data, analytics, and AI.

Qualifications

  • Bachelor’s degree required with 10+ years IT/Data & Analytics experience.
  • Experience designing data models across multiple domains and BI solutions.
  • Strong cloud data platform expertise and consulting background.

Responsibilities

  • Lead project/technical teams to define and implement data and analytics solutions.
  • Serve as technical architect for data and AI assessments and roadmaps.
  • Conduct rapid data assessments to inform roadmap development.
  • Develop data governance, security, and standards aligned with regulations.
  • Oversee delivery teams to ensure quality and standards.
  • Collaborate with sales to develop proposals and present demonstrations.
  • Define project requirements with data scientists, engineers, and stakeholders.
  • Mentor college hires and offshore teams.

Skills

Data architecture
Cloud computing
SQL
Python / PySpark
Team leadership
Client-facing
Presales
AI & Analytics

Education

Bachelor’s degree

Tools

Power BI
Tableau
Snowflake
Databricks
Microsoft Fabric
CI/CD

Job description

RSM US LLP is seeking an experienced Hands-On Data and Analytics Technical Manager to architect and implement data and analytics solutions for clients while guiding strategic data roadmaps. You will lead technical and project teams, troubleshoot complex challenges, and translate client needs into scalable architectures.

This client-facing role blends technical architecture with delivery leadership across data, analytics, and AI.

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