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Technology Operations Enterprise Data Strategy Jobs in Austin, TX

LPL Financial

Principal Data Architect

Austin, TX

... enterprise data platforms. * Translate business objectives into technology strategies and ... Security, Resiliency & Operational Excellence * Architect secure data platforms including ...

Addison Group

Data Architect

Austin, TX · On-site

$85 - $90/hr

Key Responsibilities Data Strategy & Architecture • Define and own the enterprise data ... operational efficiency Data Migration & Conversion • Lead end-to-end migration strategy from on ...

Addison Group

Data Architect

Austin, TX · Remote

$85 - $90/hr

Key Responsibilities Data Strategy & Architecture · Define and own the enterprise data ... operational efficiency Data Migration & Conversion · Lead end-to-end migration strategy from on ...

Hoar

Data Architect

Austin, TX

$63.25 - $81.25/hr

... enterprise systems. * Lead data modeling initiatives and guide teams on best practices for organizing and interpreting data. * Research emerging technologies and develop migration strategies for ...

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Technology Operations Enterprise Data Strategy information

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$25

$71

$90

How much do technology operations enterprise data strategy jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for technology operations enterprise data strategy in Austin, TX is $71.28, according to ZipRecruiter salary data. Most workers in this role earn between $61.97 and $81.73 per hour, depending on experience, location, and employer.

What is Technology Operations Enterprise Data Strategy?

Technology Operations Enterprise Data Strategy refers to the planning, management, and implementation of data-related processes and technologies across an organization to support its operational goals. This role involves setting standards for data governance, ensuring data quality, and aligning data initiatives with business objectives. Professionals in this field work to optimize data flow, storage, and security, enabling better decision-making and efficiency. They often collaborate with IT, business units, and data analytics teams to ensure data assets are leveraged effectively across the enterprise.

How does a Technology Operations Enterprise Data Strategy professional typically collaborate with other departments within an organization?

Professionals in Technology Operations Enterprise Data Strategy work closely with multiple departments, such as IT, business analytics, compliance, and executive leadership. They often facilitate communication between technical teams and business stakeholders to ensure that data initiatives align with organizational goals. This role involves coordinating data governance policies, integrating new technologies, and supporting data-driven decision-making across the enterprise. Successful collaboration requires strong communication skills and a deep understanding of both technical and business perspectives.

What are the key skills and qualifications needed to thrive in Technology Operations Enterprise Data Strategy, and why are they important?

To excel in Technology Operations Enterprise Data Strategy, you need strong expertise in data management, analytics, and strategic planning, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, data governance frameworks, and certifications like CDMP or AWS Certified Data Analytics is highly valuable. Exceptional problem-solving, stakeholder management, and communication skills help drive cross-functional initiatives and align data strategies with business goals. These competencies ensure effective data-driven decision making, operational efficiency, and long-term organizational success.

What is the difference between Technology Operations Enterprise Data Strategy vs Data Analyst?

AspectTechnology Operations Enterprise Data StrategyData Analyst
CredentialsTypically requires a degree in IT, Data Science, or related fields; certifications like CDMP or CBIP are commonRequires a degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate or Tableau Desktop Specialist are common
Work EnvironmentFocuses on strategic planning, data governance, and infrastructure within enterprise IT teamsFocuses on data collection, analysis, and reporting to support business decisions
Employer & Industry UsageUsed in large organizations managing enterprise data assets and IT operationsUsed across industries for data reporting, visualization, and insights

While Technology Operations Enterprise Data Strategy professionals focus on aligning data initiatives with business goals and managing data infrastructure, Data Analysts primarily analyze data to generate actionable insights. Both roles require strong analytical skills but differ in scope and strategic involvement.

What cities near Austin, TX are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities near Austin, TX with the most Technology Operations Enterprise Data Strategy job openings:

Technology Operations Enterprise Data Strategy jobs near you

Enterprise Data Architect

Indotronix International Corporation

Austin, TX • On-site

Contractor

Re-posted 29 days ago

Job description

Payrate:$ 79-89/Hr
Overview
The Medicaid Data Architect position is an Information Technology (IT) position and will be a part of the PMAS Medicaid sprint team working in collaboration with the Office of Data Analytics & Performance (DAP) within the Health and Human Services System's business domain. This architect designs and implements integrated data solutions for a multi-terabyte data integration hub implementation. The mission of PMAS is to ensure HHS curated data is visible, accessible where appropriate, understandable in context, trusted by users, and uniformly governed in order to support integrated data analytics in the Integrated Continuum of Care Analytics initiative. This enables data-driven decision making across the HHS system.
The Medicaid Data Architect position is an Information Technology (IT) position and will be a part Performance Management and Analytics System (PMAS) team under the Office of Chief Data Architect in Health and Human Services System's IT domain. This position is required to create data architecture(s) related to Texas Medicaid data in compliance with Texas Data Management Framework (TDMF) and HHS Data Governance (DG) policies.
The Enterprise Architect position:
  • Collaborates with the Office of the Chief Data Architect on initiatives related to performance analytics and data governance.
  • Architects cloud data hub integrations with Medicaid data and other data domain platforms.
  • Develops best practices and methodologies to mature TDMF best practices and capability maturities.
  • Develops enterprise data policy and standards that support the development of an enterprise data governance framework.
  • Serves as Data Architecture and Data Management expert for the HHS system, Medicaid.
  • Develops a detailed knowledge of the underlying HHS data assets and data products and provides subject matter expert on content, current and potential future uses of data.
  • Assists in development and implementation of data quality processes and metrics.
  • Responsible for consulting with the business owners of data assets, providers of enterprise analytics, and Information Technology leadership to develop enterprise Medicaid analytics strategy for future funding, design, and implementation
  • Provides expertise in data harmonization, master data development and governance, data quality, and metadata management.
  • Provides guidelines on creating data models and various standards relating to governed data.
  • Reviews changes to technical and business metadata, realizing their impacts on enterprise applications, and ensures the impacts are communicated to appropriate parties.
  • Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.
  • Assists in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
  • Assists in identifying appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
  • Assists in performing root cause analyses related to information issues and non-conformance to published data standards based on review of technical metadata of various source systems.
  • Builds business cases to support collaborative HHS MDM efforts and adoption.
  • Works with CTO office, CDA architecture team, and MCS program stakeholders to come up with Medicaid data and analytics strategy considering long term goals/objectives.

Strategic Liaison and Translation
  • Work with program areas and project sponsor to plan and execute multiple analytics projects asynchronously.
  • Explain project findings and data limitations in simple, non-technical language to agency leadership and program staff.

AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize Medicaid data for complex data domains.
  • Develop a library of standardized prompts and query templates for common reporting needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Promote a data-driven culture by enabling and empowering all staff to effectively utilize data and AI.
  • Stay up to date on new AI and data analytics tools and techniques to continuously improve program competencies.

Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.

II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years Required/Preferred Experience
12 Required Excellent understanding of Data Architecture principles, capabilities, and best practices with the proven ability to define, document and apply standards and best practices
12 Required Experience with business processes, data management, data flows, data relationships, data quality standards and processes,and proficiency with data analytical and quality tools
10 Required Extensive experience in working with Medicaid data; specifically in the areas such as provider claims & encounters as well as client movements and clinical assessments.
8 Required Experience in building and maintaining a Medicaid Data Warehouse.
8 Required Extensive architecture experience and knowledge in the areas of Reference Data, Data Quality, Metadata Management
8 Required Experience leading and evolving corporate culture to a data driven organization
8 Required Communication, analytical and interpersonal skills at all levels
5 Preferred Experience designing/implementing data acquisitions for Master Data Management, Data Warehouse or other PerformanceManagement system.
5 Preferred Experience with public health care or Insurance business domain
5 Preferred Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities
4 Preferred Bachelor's degree in Computer Science, Systems Engineering or equivalent experience
1 Preferred Certified Data Management Professional (CDMP) from DAMA
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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