1

Associate Data Manager Jobs in Tennessee (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Experience managing large, complex data sets with high variability. * Strong organizational and ... Associate's Degree (A.A) or equivalent from a two-year college or technical school; or a minimum of ...

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Market Data Procurement Associate

Memphis, TN · On-site

$16.75 - $21.50/hr

We are a global wealth management and investment banking firm serious about innovation and fresh ... associates, among hundreds more. Let's talk about how you can find your place here at Stifel, where ...

Posted today

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Data Scanning Associate

Knoxville, TN · On-site

$15.25 - $19.75/hr

You can manage what hours in the day you work! No clocking in at certain times! If you are ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

Showing results 21-40

Associate Data Manager information

See Tennessee salary details

$13

$30

$51

How much do associate data manager jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for associate data manager in Tennessee is $30.02, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $35.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data manager, and why are they important?

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

What is the difference between Associate Data Manager vs Data Analyst?

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

What are some common challenges faced by an associate data manager when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.
What are the most commonly searched types of Data Manager jobs in Tennessee? The most popular types of Data Manager jobs in Tennessee are:
What are popular job titles related to Associate Data Manager jobs in Tennessee? For Associate Data Manager jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Associate Data Manager jobs in Tennessee look for? The top searched job categories for Associate Data Manager jobs in Tennessee are:
What cities in Tennessee are hiring for Associate Data Manager jobs? Cities in Tennessee with the most Associate Data Manager job openings:
Infographic showing various Associate Data Manager job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $62,440 per year, or $30 per hour.

Sr. Associate, Investment Operations Data

Fortitude Re

Nashville, TN

Full-time

Re-posted 11 days ago


Job description

The Senior Associate, Investment Operations Data, will play a key role in supporting the implementation and ongoing operation of the firm's investment data operating model as part of a major transformation to deploy a new enterprise data management platform. This individual contributor will be responsible for ensuring high-quality, timely, and reliable data across IBOR, ABOR, investment processes, middle-office workflows, compliance, and reporting. 

This position will be part of the Data Operations team in Investment Operations and will act as a subject matter expert and primary executor across data operations workflows, platform implementation activities, and data quality initiatives. The role requires deep expertise in investment data, strong analytical capabilities, and hands-on experience working within complex, multi-asset environments. 

This position will partner across Front Office, Technology, Risk, Operations, and external vendors to support the delivery of a scalable, well-governed data ecosystem. 

What You Will Do: 

Data Platform Implementation and Support 

  • Act as a core contributor to the implementation of the new data management platform, supporting business requirements, testing, and rollout activities. 

  • Translate business needs into detailed functional requirements across data ingestion, mastering, validation, enrichment, integration, and distribution. 

  • Support data migration, reconciliation, and UAT efforts, ensuring completeness and accuracy of data across systems. 

  • Partner with Technology and vendors to troubleshoot issues, validate enhancements, and support Agile delivery cycles. 

  • Contribute to ensuring the platform supports IBOR production, investment processes, risk analytics, compliance, and reporting needs. 

Operational Data management 

  • Execute and oversee daily data operations processes to ensure accurate and timely delivery of investment data. 

  • Investigate, resolve, and escalate data quality issues across security master, pricing, corporate actions, reference data, positions, transactions, and exposures. 

  • Perform reconciliations and validation checks across internal systems, custodians, and third-party data providers. 

  • Support the maintenance of data quality frameworks, dashboards, and controls. 

  • Document workflows, data definitions, and operating procedures to ensure consistency and transparency. 

Data Quality and Controls 

  •  Apply and monitor data quality rules, tolerances, and exception management processes. 

  • Support the implementation of controls across key datasets, including security master, pricing, corporate actions, and transactional data. 

  • Analyze root causes of data issues and recommend improvements to prevent recurrence. 

  • Partner with the VP and broader team to enhance data governance and stewardship practices. 

Cross Functional Collaboration 

  • Partner with Front Office, Investment Operations, Risk, Finance, and Compliance teams to understand data requirements and support delivery. 

  • Work closely with Technology teams to refine data flows, improve system integrations, and enhance automation. 

  • Engage with external vendors (custodians, pricing providers, asset managers) to resolve data discrepancies and improve data quality. 

  • Communicate findings, issues, and recommendations clearly to stakeholders. 

Continuous Improvement & Innovation 

  • Identify opportunities to improve data processes, enhance automation, and reduce manual intervention. 

  • Support development of reporting, dashboards, and self-service data capabilities. 

  • Contribute to scaling data processes as the firm expands into new asset classes and geographies. 

  • Leverage tools and emerging technologies (including AI/ML where applicable) to improve data validation, workflow efficiency, and reporting. 

What You Will Have: 

  • Bachelor's degree   

  • 3-6+ years of experience in investment operations, data management, IBOR operations, or asset management environments 

  • Operational understanding of 

  • IBOR and ABOR concepts 

  • Investment  

  • Pricing, corporate actions, and a deep understanding of Security Master data 

  • Transactions, position data, reconciliations, cash, exposures 

  • Experience supporting data needs across investment teams, middle office, risk, treasury, or reporting functions 

Platform and Technology Experience 

  • Experience working with enterprise data platforms (e.g., Palantir Foundry, Clearwater, Aladdin, Markit EDM, Snowflake, Eagle, NeoXam, SimCorp, or similar) 

  • Understanding of data pipelines, APIs, data models, and data architecture concepts 

  • Hands-on experience supporting UAT, data validation, and business requirement documentation 

Core Capabilities 

  • Strong analytical and problem-solving skills with high attention to detail 

  • Ability to manage multiple priorities in a fast-paced environment 

  • Effective communication and stakeholder engagement skills 

  • Proactive, self-starter with a continuous improvement mindset 

  • Ability to work independently while collaborating closely with cross-functional teamsÂ