Data & Analytics Tech Leader — AI & Cloud Architecture

RSM US LLP

Denver (CO)

Hybrid

USD 112,000 - 226,000

Full time

3 days ago
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Job summary

RSM US LLP is seeking an experienced Hands-On Data and Analytics Technical Manager to architect and deliver data, analytics, and AI solutions for clients. You will lead technical teams, guide roadmaps, and partner with sales to drive business growth while ensuring scalable, secure data platforms.

The role blends hands-on technical work with leadership, strategy, and client engagement. A hybrid working model is supported with travel up to 35% as needed.

Qualifications

  • Bachelor's degree required.
  • 10+ years IT/Data & Analytics experience.
  • 5+ years data modeling across multiple domains.
  • 5+ years BI solution design.
  • 5+ years data pipeline optimization.
  • Deep expertise in two cloud data platforms.
  • Consulting firm experience.
  • Proven leadership across multiple clients.
  • SQL and Python proficiency.
  • Experience with CI/CD for analytics solutions.
  • Up to 35% travel.

Responsibilities

  • Lead project teams to define and implement data and analytics solutions.
  • Serve as technical architect for data and AI assessments.
  • Conduct rapid assessments to inform roadmaps.
  • Develop data governance, security, and standards.
  • Oversee delivery teams and ensure high-quality results.
  • Review estimates and designs before project start.
  • Collaborate with sales to develop proposals and demos.
  • Define requirements with data scientists and engineers.
  • Mentor junior staff and offshore teams.

Skills

Data architecture
Cloud platforms
SQL
Python
Power BI
Tableau
Leadership
Presales
Data governance
AI knowledge

Education

Bachelor's degree

Tools

Databricks
Snowflake
Microsoft Fabric

Job description

RSM US LLP is seeking an experienced Hands-On Data and Analytics Technical Manager to architect and deliver data, analytics, and AI solutions for clients. You will lead technical teams, guide roadmaps, and partner with sales to drive business growth while ensuring scalable, secure data platforms.

The role blends hands-on technical work with leadership, strategy, and client engagement. A hybrid working model is supported with travel up to 35% as needed.

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