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Data Manager Jobs in Baton Rouge, LA (NOW HIRING)

LSU AgCenter

Waste Reduction Manager

Central, LA

Data Management, Reporting & Program Performance Develops and maintains systems for tracking waste and collections, material weights, contamination rates, landfill diversion metrics, and operational ...

Alliance

Site Supervisor Hourly

Baton Rouge, LA · On-site

$22/hr

Use LDAR data management system to ensure compliance with all inventorying, monitoring, repair and reinspection requirements as dictated by applicable regulations * Generate and maintain required ...

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All JobsData JobsData Manager JobsData Manager Jobs in Baton Rouge, LA

Data Manager information

See Baton Rouge, LA salary details

$24.3K

$76.2K

$134.9K

How much do data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data manager in Baton Rouge, LA is $76,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Baton Rouge, LA?

The most popular types of Data jobs in Baton Rouge, LA are:

What job categories do people searching Data Manager jobs in Baton Rouge, LA look for?

The top searched job categories for Data Manager jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Data Manager jobs?

Cities near Baton Rouge, LA with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $76,215 per year, or $36.6 per hour.

VP, Data Scientist, Enterprise AI, Innovation Group

UOB

Central, LA • On-site

$120 - $150/hr

Other

Posted 9 days ago

Job description

## VP, Data Scientist, Enterprise AI, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 8 Days Agojob requisition id: JR88406Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****Job Responsibilities:**The incumbent will be a key member of the Enterprise AI team, partnering with stakeholders to design, develop, and deploy AI and GenAI solutions across business and support units, delivering impactful outcomes.Your **main responsibilities** are to:* Collaborate with data scientists, data engineers, technology and business/support units, to evaluate, solution and deliver AI and GenAI driven business use cases.* Develop and successfully execute plans aligned with strategic project and business objectives.* Develop performant AI and Gen AI capabilities through thoughtful research and experimentation.* Develop and deploy AI and Gen AI applications with agile prototyping.* Integrate AI and Gen AI capabilities and applications into the bank's ecosystem.* Stay abreast of fast emerging AI and Gen AI technological advancements, industry best practices, architecture, software resources and paradigms.* Engage and manage stakeholder interactions and expectations.* Provide deep expertise and advisory on AI and Gen AI to diverse stakeholders.* Contribute to AI and Gen AI related validation, guardrail and benchmarking exercises.**Qualifications:*** Min Postgraduate degree in Statistics, Mathematics, Engineering, Computer Science or a related field, with ability to reason quantitatively from first principles. GenAI related thesis/publications highly preferred.* Achieved consistent success in framing rigorous and data driven approaches to solve highly complex business use cases or academic problems.* Min 8 years of advanced data science working or research experience, preferably in banking / financial services / quant / consulting industry.* Self-motivated team player, able to ideate innovative solutions and work independently.* Proven record in developing AI applications using transformer models, boosting models, and other advanced techniques.* Highly skilled and successful in end-to-end LLM deployment, with 1.5 years full-time experience. Demonstrable achievements is a must.* Demonstrable expertise and experience in adjacent topics such as Agentic AI /Visual /Audio /Multimodal generation highly preferred.* Python programming and large data handling abilities. Highly skilled with common data science and LLM packages such as Pytorch and LangChain.* Experienced in general end-to-end data science solution delivery and assorted tools.* Ability to communicate analytic findings clearly and convincingly to business.* Skillful in agile project management practices.* Experience with data visualization packages and/or tools a plus.## **Additional Requirements**Be a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a Difference #J-18808-Ljbffr

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