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Data and Analytics Technical Manager

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: RSM US LLP
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally.

There’s no one like you and that’s why there’s nowhere like RSM.

RSM is looking for an experienced Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while also advising in developing the strategic data and analytics roadmaps. The ideal candidate must possess a strong background in data architecture, cloud computing, and a deep understanding in emerging digital trends in data, analytics, and AI as well as leading technical and project teams.

As a Data and Analytics Manager, you will be responsible for architecting data and analytics solutions and leading teams to implement these solutions. You should have deep technical expertise and the be able to work with staff and clients to troubleshoot and solve technical challenges. This role requires a unique blend of technical proficiency, sales acumen, and presales experience to drive business growth and deliver innovative data solutions to our clients.

This position can be based near any major RSM office.

Responsibilities
  • Lead overall project teams and/or technical teams in the definition and implementation of data and analytic solutions
  • Function as a technical architect to develop and deliver data and AI assessments, strategies, and roadmaps
  • Deliver rapid assessments to create gap analysis for the data and analytics roadmap
  • Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization
  • Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards
  • Collaborate with the sales and business development teams to identify customer needs, develop solution proposals, and present technical demonstrations and presentations to prospective clients
  • Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines
  • Work closely with leaders and teams across Service Lines to deliver solutions through a unified, collaborative approach
  • Provide mentorship and guidance to college hires and offshore teams to support high-quality project delivery
Basic Qualifications
  • Bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering or related field
  • Minimum of 10 years of overall experience in IT, with at least ten years of experience in Data and Analytics
  • 5+ years of experience designing data models across multiple subject areas and business domains
  • 5+ years of experience in designing and developing business intelligence solutions
  • 5+ years of optimizing data pipeline processes and database structures
  • Deep expertise in at least one major cloud data platform (Microsoft Fabric, Snowflake, Databricks)
  • Previous experience in Data and Analytics with a consulting firm
  • Proven record of leading and implementing data and analytics solutions across multiple clients
  • Advanced understanding of various data platforms, tools and cloud capabilities available to support data modernization
  • Proficient in BI visualization tools such as Power BI or Tableau
  • Proficient in SQL and Python (e.g. PySpark, Pandas)
  • Expertise in defining, managing, and automating data pipelines / workflows
  • Excellent communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences
  • Excellent critical thinking and problem-solving abilities
  • Team-oriented with the ability to work independently and in virtual teams
  • Passion for solving complex business problems…
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