Data and Analytics Technical Manager

RSM US LLP

. Lead project and technical teams through the definition and implementation of data and analytics solutions .

Posted 11/11/2026full-timeUnited StatesSeniorLead💰 $112,100 - $225,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data and analytics solutions, with a strong focus on data management, governance, and security best practices. Proficient in designing scalable and reliable data models and business intelligence solutions using advanced tools and methodologies.

Highest-signal resume keywords

Data ManagementData GovernanceBusiness Intelligence SolutionsMicrosoft FabricSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Pipeline OptimizationPredictive AIGenerative AIPower BITableauPythonSQLPySparkPandas

Soft Skills

CommunicationPresentationCritical ThinkingProblem SolvingInterpersonal Skills

Tools & Technologies

Microsoft FabricSnowflakeDatabricksDataOpsMLOpsDevOps

Certifications & Qualifications

Advanced Data/Cloud Certifications

Industry Keywords

Data AnalyticsData ModernizationConsultingGovernance ToolsNorth American Clients

Tech Stack

Tools & technologies

CloudPandasPySparkPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead project and technical teams through the definition and implementation of data and analytics solutions
Serve as technical architect for data and AI assessments, strategies, and roadmaps
Conduct rapid data and analytics assessments to identify gaps
Monitor emerging trends and technologies in big data and cloud computing
Develop and maintain data management, governance, and security best practices aligned with regulatory and industry standards
Oversee delivery teams’ application of standards and best practices
Review delivery team designs as a design gate for quality and standards adherence
Review delivery estimates, proposed architecture, and solution designs before projects begin
Collaborate with sales and business development teams to identify needs, develop proposals, and present technical demonstrations
Define project requirements, objectives, and timelines with data scientists, engineers, business analysts, and stakeholders
Coordinate solution delivery across Service Lines
Mentor college hires and offshore teams

Requirements

What you’ll need

Bachelor's degree
Minimum of 10 years in IT, including at least 10 years in Data and Analytics
5+ years designing data models across multiple subject areas and business domains
5+ years designing and developing business intelligence solutions
5+ years optimizing data pipeline processes and database structures
Deep expertise in at least two of Microsoft Fabric, Snowflake, and Databricks
Previous Data and Analytics experience with a consulting firm
Proven record leading and implementing data and analytics solutions across multiple clients
Experience designing production data and analytics solutions for scalability, reliability, security, and cost efficiency
Advanced understanding of data platforms, tools, and cloud capabilities for data modernization
Proficiency in Power BI or Tableau
Practical understanding of predictive and generative AI
Proficiency in SQL and Python, including PySpark and Pandas
Hands-on experience with version control, code reviews, automated unit and integration testing, data quality validation, and CI/CD
Expertise defining, managing, and automating data pipelines/workflows
Ability to evaluate AI outputs for accuracy, unsupported claims, and bias; protect confidential client data; and apply human review and documented validation
Excellent communication, presentation, interpersonal, critical-thinking, and problem-solving skills
Ability to work independently and in virtual teams
Ability to travel up to 35%
Preferred: advanced understanding of DataOps, MLOps, and DevOps; data governance assessments and delivery; familiarity with governance tools; advanced data/cloud certifications; technical team management; industry domain knowledge; experience with North American clients and delivery teams

Benefits

Comp & perks

Competitive benefits and compensation package
Hybrid workstyle with flexibility and in-person connection
Discretionary bonus based on firm and individual performance
Reasonable accommodation for applicants with disabilities