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Technology Operations Enterprise Data Strategy Jobs in Oklahoma

Accenture

$94K - $293K/yr

... operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Stem Xpert

Data Architect

Tulsa, OK ยท On-site

$58.25 - $75/hr

Acts as a liaison for data related strategies and architectures between Tech Ops IT and Enterprise IT team Works in conjunction with Data Management team members to gather business requirements and ...

Accenture

$132K - $338K/yr

... operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Pwc

Data Strategy-Manager

Oklahoma City, OK ยท On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Pwc

Data Strategy-Manager

Tulsa, OK ยท On-site

$99K - $232K/yr

They utilise advanced analytics techniques to help clients optimise their operations and achieve ... You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Accenture

... enterprise-wide data architecture to function-specific plays across Finance, HR, and Operations ... Technology is at the core of change today, and we are one of the world's leaders in helping drive ...

Accenture

Expertise in big data technologies,ontology,AI/ML framework * Experience inarchitecting foruse ... operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed ...

Fabergent

Data Architect

Tulsa, OK ยท On-site

$58.25 - $75/hr

Acts as a liaison for data related strategies and architectures between Tech Ops IT and Enterprise IT team Works in conjunction with Data Management team members to gather business requirements and ...

Accenture

... across strategy, consulting, technology, operations, Song and Industry X with our deep industry ... We design based on data & insights, and our proven methodologies. * We bring the tools and roadmaps ...

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Technology Operations Enterprise Data Strategy information

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 in Oklahoma are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities in Oklahoma with the most Technology Operations Enterprise Data Strategy job openings:

Technology Operations Enterprise Data Strategy jobs near you

Business Intelligence - Director Enterprise Data & Analytics

CommunityCare

Tulsa, OK โ€ข On-site

Full-time

Re-posted 27 days ago

Job description

JOB SUMMARY:
The Director Enterprise Data & Analytics is responsible for leading the organization's data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.
KEY RESPONSIBILITIES:
  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:
  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Master's degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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