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Data Modernization Jobs in Tennessee (NOW HIRING)

SEI

Data and Analytics Consultant

Nashville, TN · On-site

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

SEI

Data and Analytics Consultant

Nashville, TN

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

Accenture

Google Data Specialist

Nashville, TN · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

Accenture

Google Data Specialist

Morristown, TN · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

nLeague

Programmer/Developer

Nashville, TN · On-site

... alignment with TDH data modernization efforts. * As a member of the Office of Informatics and Analytics, this individual will get exposure and experience in the use and development of ...

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Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Tennessee? For Data Modernization jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Tennessee look for? The top searched job categories for Data Modernization jobs in Tennessee are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Analyst, Data Modernization & Intelligence (GenAI & Data Lifecycle Focus)

Senior Analyst, Data Modernization & Intelligence (GenAI & Data Lifecycle Focus)

Deloitte

Nashville, TN • On-site

Full-time

Posted 3 days ago

New

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

Job Summary:
Deloitte Global is the engine of the Deloitte network, delivering strategic programs and services that unite the organization. The Senior Analyst in Data Modernization & Intelligence will support the testing and operationalization of AI-driven capabilities while ensuring alignment with data lifecycle management standards.
Responsibilities:
• Support the testing, validation, and rollout of GenAI capabilities, including Microsoft 365 Copilot, Gemini, and Claude, and related features across collaboration workloads.
• Evaluate how AI features interact with enterprise data environments, ensuring alignment with data handling, retention, and classification requirements.
• Execute end-to-end data lifecycle validation, including data ingestion, transformation, storage, access, and output behaviors within M365 and connected systems.
• Partner with engineering, governance, and platform teams to identify risks, gaps, and inconsistencies in data usage across AI-enabled scenarios.
• Contribute to controlled testing frameworks, including scenario-based validation, defect tracking, and repeatable test design.
• Support the development of technical documentation, SOPs, and governance-aligned guidance for AI-enabled capabilities.
• Provide technical troubleshooting and analysis for issues related to AI feature behavior, data inconsistencies, and platform integration.
• Perform targeted analysis and reporting to support decision-making, with emphasis on data integrity and trend validation rather than standalone reporting deliverables.
Qualifications:
Required:
• Hands-on experience with GenAI tools and platforms, including exposure to enterprise AI capabilities.
• Strong understanding of data lifecycle management concepts, including data ingestion, processing, storage, access, and retention.
• Experience with data validation, testing, and quality assurance in enterprise environments.
• Working knowledge of data governance concepts, including classification, sensitivity, and compliance considerations.
• Ability to analyze AI-driven outputs and system behaviors, identify inconsistencies, and escalate findings clearly.
• Experience supporting controlled testing, defect management, and issue tracking workflows.
• Strong problem-solving skills with the ability to operate in ambiguous, evolving technology environments.
Preferred:
• Experience with Microsoft Purview (data governance, compliance, or information protection capabilities).
• Exposure to multi-tenant or global enterprise environments.
• Experience supporting AI/ML feature rollout, testing, or evaluation at scale.
• Scripting or automation experience to support testing or validation workflows.
• Familiarity with emerging AI tooling (prompt-based systems, AI agents, evaluation frameworks, etc.).
• Experience translating technical findings into clear, governance-aligned documentation or guidance.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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