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Manager Data Architecture Jobs in Jackson, MS (NOW HIRING)

Ergon

Manager, Data, Reporting & AI

Flowood, MS · On-site

Experience with ERP reporting and data architecture. * Familiarity with Microsoft Copilot, Azure AI, or other enterprise AI platforms. * Background in project management, change management, or ...

Munich Re

Sr. Solution Architect

Jackson, MS · On-site

Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management

Munich Re

Sr. Solution Architect

Clinton, MS · On-site

Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management

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All JobsData Architecture JobsManager Data Architecture JobsManager Data Architecture Jobs in Jackson, MS

Manager Data Architecture information

See Jackson, MS salary details

$100.2K

$153.1K

$227.9K

How much do manager data architecture jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data architecture in Jackson, MS is $153,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,000.00 and $158,200.00 per year, depending on experience, location, and employer.

What does a manager data architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What are the key skills and qualifications needed to thrive as a manager data architecture?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a manager data architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

What are popular job titles related to Manager Data Architecture jobs in Jackson, MS?

For Manager Data Architecture jobs in Jackson, MS, the most frequently searched job titles are:

What job categories do people searching Manager Data Architecture jobs in Jackson, MS look for?

The top searched job categories for Manager Data Architecture jobs in Jackson, MS are:

Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in Jackson, MS as of June 2026, with employment types broken down into 5% As Needed, 47% Full Time, 43% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,071 per year, or $73.6 per hour.

Manager, Data, Reporting & AI

Ergon

Flowood, MS • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Ergon Inc. rating

7.0

Company rating: 7.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

54th of 87 rated oil and gas companies

Job description

Position Summary

Ergon is seeking a strategic and collaborative Manager, Data, Reporting & AI to lead ESS's reporting, master data, and AI enablement efforts. This role is responsible for building trusted business data, delivering actionable analytics, strengthening data governance, and identifying practical AI opportunities that improve decision-making, productivity, and business performance.

The ideal candidate brings a strong combination of business acumen, technical depth, and leadership skills, with the ability to influence across Finance, Commercial, Supply Chain, Manufacturing, and IT. This position plays a key role in helping ESS improve operational efficiency, support exceptional customer service, and drive continuous improvement through better use of data and technology.

Key Responsibilities
  • Lead the development and execution of ESS's data, reporting, master data, and AI strategy.
  • Deliver trusted reporting, dashboards, and analytics that support business decision-making and operational performance.
  • Establish and maintain data governance standards, reporting definitions, and master data ownership.
  • Improve data quality, reporting consistency, and process efficiency across business functions.
  • Partner with Finance, Commercial, Supply Chain, Manufacturing, and IT to align reporting and data priorities with business needs.
  • Evaluate, recommend, and implement AI-enabled solutions that improve productivity and business insights.
  • Manage reporting and data teams while developing talent and supporting cross-functional project work.
  • Promote adoption of reporting tools, data governance practices, and AI capabilities across the enterprise.
  • Support business process analysis, change management, and continuous improvement initiatives.
  • Demonstrate Ergon's values of Respectful Relationships, Empowered Service, Purposeful Growth, and Selfless Leadership in all interactions.
Basic Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Analytics, Engineering, Finance, or a related discipline.
  • Five (5) or more years of progressively responsible experience in data, reporting, business intelligence, analytics, or digital transformation.
  • Experience leading professional employees or significant cross-functional initiatives.
  • Experience working in ERP environments, preferably SAP S/4.
  • Strong analytical, problem-solving, and communication skills.
  • Proficiency with Power BI or a comparable enterprise BI platform.
  • Working knowledge of SQL, data analysis, master data management, and data governance principles.
  • Ability to influence others without direct authority and work effectively across multiple functions.
  • Strong customer service mindset and commitment to continuous improvement.
Preferred Qualifications
  • Master's degree in a related field.
  • Experience implementing reporting governance or master data improvements.
  • Experience evaluating or deploying AI-enabled business solutions.
  • Experience with ERP reporting and data architecture.
  • Familiarity with Microsoft Copilot, Azure AI, or other enterprise AI platforms.
  • Background in project management, change management, or enterprise transformation initiatives.
  • Experience leading teams responsible for reporting, analytics, or data management.

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