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Technology Operations Enterprise Data Strategy Jobs

SOSi

Enterprise Architecture Data Lead

Linthicum, MD · On-site

... operational performance, and support the delivery of resilient, secure, and scalable technology ... Develop hybrid cloud strategy * Manage enterprise data strategy * Lead data governance initiatives

Peraton

Senior IT Operations Manager

Washington, DC · On-site

$146K - $234K/yr

This role requires a strategic leader with strong technical depth, operational rigor, and proven ... Oversee daily operations and lifecycle management of enterprise data centers, servers, networks ...

Peraton

Senior IT Operations Manager

Washington, DC · On-site

This role requires a strategic leader with strong technical depth, operational rigor, and proven ... Oversee daily operations and lifecycle management of enterprise data centers, servers, networks ...

Peraton

Senior IT Operations Manager

Washington, DC

This role requires a strategic leader with strong technical depth, operational rigor, and proven ... Oversee daily operations and lifecycle management of enterprise data centers, servers, networks ...

Peraton

Senior IT Operations Manager

Denver, CO · On-site

This role requires a strategic leader with strong technical depth, operational rigor, and proven ... Oversee daily operations and lifecycle management of enterprise data centers, servers, networks ...

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Showing results 21-40

All JobsTechnology Operations Enterprise Data Strategy Jobs

Technology Operations Enterprise Data Strategy information

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$25

$71

$91

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

As of Aug 7, 2026, the average hourly pay for technology operations enterprise data strategy in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

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.

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 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.

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 are hiring for Technology Operations Enterprise Data Strategy jobs? Cities with the most Technology Operations Enterprise Data Strategy job openings:
What states have the most Technology Operations Enterprise Data Strategy jobs? States with the most job openings for Technology Operations Enterprise Data Strategy jobs include:
Technology Operations Enterprise Data Strategy jobs near you

Executive Director, Data Strategy and Governance

RaceTrac Petroleum, Inc.

Atlanta, GA • On-site

Full-time

Posted 25 days ago

RaceTrac rating

4.8

Company rating: 4.8 out of 10

Based on 196 frontline employees who took The Breakroom Quiz

36th of 46 rated convenience stores

Job description

RaceTrac Company Overview
Job Description:
The Executive Director of Data Strategy serves as the enterprise's senior authority on data vision, strategy, and value realization. This executive defines and drives the long-term data direction for the organization, leads cross-functional alignment at the C-suite level, and is accountable for enterprise-wide data outcomes-including revenue growth, operational efficiency, regulatory compliance, and superior customer experiences. The Executive Director shapes enterprise investment decisions, champions data as a strategic asset, and builds the organizational capability needed to compete in a data-driven marketplace.
Responsibilities:
Enterprise Data Strategy & Roadmap
  • Define and own a multi-year enterprise data strategy aligned to long-term business objectives; lead the investment thesis, portfolio prioritization, and enterprise funding model for the organization's data agenda.
  • Architect and govern the enterprise data operating model (centralized/Hub-and-Spoke/Federated) with clear executive ownership (RACI), enterprise-wide standards, and sustained investment mechanisms; present strategy and measured outcomes to senior leadership.

Data Governance & Risk
  • Establish and govern enterprise-wide data governance frameworks-policies, standards, and controls-spanning privacy, security, data lineage, quality, retention, and AI risk; own executive accountability for regulatory compliance and audit readiness.
  • Lead enterprise data stewardship, issue management, and risk remediation programs with measurable SLAs, executive-level reporting, and sustained defect reduction across the organization.

Data Products & Enablement
  • Set the vision and executive accountability for the enterprise data product portfolio; ensure alignment between data product roadmaps and enterprise business strategy.
  • Partner at the VP/C-suite level to define enterprise data product requirements, success metrics, and adoption frameworks that drive measurable business value at scale.
  • Champion enterprise data literacy and self-service analytics programs, driving cultural transformation and capability development across all business units and functions.

Value Realization & Portfolio Management
  • Build and own the enterprise business case framework for data investments; set and report ROI targets-revenue uplift, cost avoidance, risk reduction, and cycle-time improvement-with direct C-suite accountability.
  • Lead executive portfolio reviews with Finance, BU presidents, and the C-suite; make strategic rebalancing and investment decisions based on enterprise outcomes and shifting priorities.

Architecture Alignment & Platform Strategy
  • Set strategic direction for enterprise data architecture in partnership with the CTO/CIO; govern platform roadmaps across data lakehouse/warehouse, MDM, catalog, governance tools, semantic layers, and AI/ML platforms.
  • Establish enterprise data standards, canonical data models, and interoperability requirements across all business domains-finance, customer, product, operations, and HR.

AI/Advanced Analytics Readiness
  • Own the enterprise framework for responsible AI and data readiness-including governance controls, PII handling, data provenance, and model monitoring standards-ensuring compliance across all ML/GenAI initiatives.
  • Drive the executive prioritization and incubation of high-value analytics/AI use cases, ensuring strategic alignment, organizational readiness, and clear accountability for delivery and outcomes.

Change Leadership & Communications
  • Serve as the primary executive voice for data strategy in board presentations, C-suite alignment sessions, and external stakeholder engagements; align incentives and investment commitments with enterprise business unit leaders.
  • Drive enterprise change management for data transformation initiatives; develop executive communication strategies for governance changes, new platform capabilities, and cultural enablement milestones; represent the organization in external data forums and strategic vendor partnerships.

Qualifications:
  • Bachelor's or Master's degree in Data Management, Computer Science, Information Systems, Business, or a related field.
  • 10+ years of progressive experience in enterprise data management, governance, and analytics, with at least 8 years in a senior data leadership role overseeing cross-functional programs at scale.
  • Deep expertise in enterprise data governance frameworks, data quality best practices, and regulatory compliance (e.g., GDPR, CCPA) with executive-level accountability for risk and controls.
  • Executive-level experience with enterprise data platforms, cloud technologies, and large-scale data integration; ability to set architectural direction and evaluate strategic technology investments.
  • Demonstrated ability to align and influence C-suite executives, board members, and cross-functional enterprise leaders on data strategy, governance, and investment priorities.
  • Exceptional executive communication, presence, and leadership skills; proven track record of building and scaling high-performing data organizations (50+ person teams preferred).
  • Experience with enterprise BI and analytics platforms (e.g., Power BI, Tableau, Looker) and fluency with modern enterprise-scale data architectures and tooling.
  • Deep knowledge of distributed data strategies, cloud and storage technologies, and modern enterprise data architectures (data lakehouse, data mesh, data fabric).
  • Ability to translate complex data and technical concepts for non-technical executive audiences; exceptional written and verbal communication across all organizational levels.
  • Executive judgment, discretion, and presence; credibility with C-suite leaders across business, technology, and finance; ability to navigate complex organizational dynamics and drive alignment.
  • Proven ability to build, lead, and scale enterprise data and analytics organizations; track record of successfully championing data as a strategic enterprise asset to diverse executive and board-level audiences.
  • Demonstrated experience defining, tracking, and presenting enterprise-level data performance metrics and business health indicators to the C-suite and board of directors.
  • Extensive experience designing, governing, and maturing enterprise data governance programs-including privacy, Master Data Management, access and decision rights, and data integrity standards-at enterprise scale.
  • Experience managing strategic third-party data vendor relationships, including enterprise-level procurement, contract negotiation, and ongoing partnership governance.

All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

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