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Technical Data Manager Jobs in Louisiana (NOW HIRING)

Data Strategy-Manager

New Orleans, LA · On-site

$99K - $232K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... data management and analytics. Responsibilities - Lead the creation and execution of data-driven ...

Manage day-to-day stakeholder relationships and align technical delivery to business and program ... Data operations (ie: orchestration, monitoring, data quality, production support, and incident ...

Lead Data Product Manager

Iowa, LA · On-site

$151 - $242/hr

We're looking for a Lead Data Product Manager to own the data products that power how we run the ... Communicate effectively with technical teams, business leaders, and executives. * Lead data product ...

Data Governance- Manager

New Orleans, LA · On-site

$99K - $232K/yr

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... data-driven strategies that drive business growth and enhance decision-making. As a Manager, you ...

The Survey Project Manager combines field leadership with technical office responsibilities, including calculations, modeling, and data management. This role supports a wide range of construction ...

The Survey Project Manager combines field leadership with technical office responsibilities, including calculations, modeling, and data management. This role supports a wide range of construction ...

The Survey Project Manager combines field leadership with technical office responsibilities, including calculations, modeling, and data management. This role supports a wide range of construction ...

Direct the efforts to produce data for plant's Benchmarking activities. * Develop and implement a ... Ability to effectively manage the performance of technical employees * Excellent communication ...

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Technical Data Manager information

What is a technical data manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

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

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What are some common challenges faced by technical data managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.

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

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

How much does a technical data manager get paid?

The average salary for a technical data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong data management skills and familiarity with tools like SQL and data warehousing systems.

What are the most commonly searched types of Technical Data jobs in Louisiana?

The most popular types of Technical Data jobs in Louisiana are:

What are popular job titles related to Technical Data Manager jobs in Louisiana?

For Technical Data Manager jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Technical Data Manager jobs in Louisiana look for?

The top searched job categories for Technical Data Manager jobs in Louisiana are:

What cities in Louisiana are hiring for Technical Data Manager jobs?

Cities in Louisiana with the most Technical Data Manager job openings:

Supplier Data Manager (m/f/d)

Hall Summit, LA

Advantest
Manufacturing • 1 - 5K employees

Full-time

Re-posted 20 days ago


Job description

  • Supplier Data Specification Governance:Define, document, and maintain the standardized Supplier Data Specification (data catalogue), including data definitions, acceptance criteria, frequency of exchange, and exception handling, ensuring alignment with Advantest's procurement and operational objectives.
  • Current-State Mapping and Gap Analysis: Lead the rapid assessment of existing supplier data flows, interfaces, and schemas to establish an "as-is" baseline, identify gaps against the defined specification, and drive a prioritized remediation plan.
  • Supplier Engagement and Data Stewardship: Establish and manage relationships with supplier data owners, implement alerting and escalation processes for data quality violations, and drive adherence to standards through governance forums and supplier scorecards.
  • Data Quality: Define and monitor data quality KPIs (completeness, timeliness, accuracy, conformance), integrate them into supplier performance scorecards, and act as the subject matter expert for implementing a Supplier Collaboration platform for supplier data exchange.
  • Senior Data Governance Expertise: Demonstrated experience (7-10 years) in defining, standardizing, and governing supplier-related data within procurement or supply chain environments. Proven ability to identify business-critical data requirements across the end-to-end supply chain, establish data standards and catalogues, and ensure consistent adoption across supplier networks.
  • Data Requirements Definition & Oversight in Supply Chain / Procurement: Strong understanding of data structures, exchange formats, and validation principles, with a focus on translating supply chain and procurement needs into clear, enforceable data requirements. Emphasis on defining what data is needed and why, while overseeing adherence rather than hands-on implementation of integrations or technical solutions
  • Supplier Engagement and Change Leadership: Exceptional ability to identify supplier data owners, negotiate data standards, and drive compliance through SLAs, scorecards, and governance forums, supported by strong communication and stakeholder management skills.
  • Delivery Mindset and Analytical Capability: Ability to hit the ground running by executing discovery, gap analysis, and remediation, combined with expertise in defining KPIs, building dashboards, and using data-driven insights to prioritize improvements.