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Technology Operations Enterprise Data Strategy Jobs in California

LHH US

Director of Technology

Livermore, CA · Hybrid

Serve as a strategic advisor on technology trends, AI, ERP modernization, and data analytics ... Operational Excellence * Develop and manage the IT budget with a focus on ROI, cost control, and ...

LHH US

Director of Technology

Livermore, CA · Hybrid

Serve as a strategic advisor on technology trends, AI, ERP modernization, and data analytics ... Operational Excellence * Develop and manage the IT budget with a focus on ROI, cost control, and ...

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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 California are hiring for Technology Operations Enterprise Data Strategy jobs?

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

Technology Operations Enterprise Data Strategy jobs near you

Director, Data Strategy & Data Products

Scorpion Therapeutics

San Diego, CA • On-site

$180 - $280/hr

Other

Posted 6 days ago

Job description

Key Responsibilities:
  • Lead strategy, design, and execution of enterprise data initiatives focused on foundational data solutions, data governance, data quality, data management, and data product development.
  • Partner with senior scientific, technology, and operational stakeholders to identify critical data needs and translate them into data strategies, roadmaps, and delivery priorities.
  • Define and scale data products enabling reliable, reusable, well-governed access to priority scientific data assets.
  • Establish and strengthen data governance frameworks (ownership, stewardship, metadata standards, quality expectations, access principles, and lifecycle management).
  • Drive alignment across scientific and technical teams for strategic relevance, operational sustainability, and measurable business impact.
  • Provide thought leadership on data strategy, data architecture principles, data operating models, and enterprise data management.
  • Lead cross-functional scientific data programs from concept through adoption, including change management.
  • Improve data usability, interoperability, quality, and consistency across processes, platforms, and analytics workflows.
  • Build and mentor teams/communities of practice for data strategy, governance, and data-enabled transformation.
  • Ensure delivery aligns with applicable quality, ethics, privacy, information security, and data governance requirements.
Essential Requirements:
  • Advanced degree in Data Science, Computer Science, Information Management, Life Sciences, or related.
  • 10+ years in data strategy/management/governance/architecture/product/analytics leadership.
  • Proven success leading large-scale, cross-functional data initiatives.
  • Strong foundation in governance and related capabilities (MDM, metadata, quality, lineage, stewardship, lifecycle).
  • Experience creating data strategy, roadmaps, operating models, and governance practices.
  • Ability to influence senior stakeholders and translate complex problems into decisions and plans.
  • Strong communication, collaboration, and change leadership across business/technology/science/operations.
  • Experience leading, mentoring, and developing teams focused on data management/governance/analytics/data products.
Desirable Requirements:
  • Experience in pharmaceutical/biotech/healthcare/life sciences or other regulated industries.
  • Experience developing/scaling data products, enterprise data platforms, or governance capabilities for analytics, automation, or AI-enabled use cases.
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