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Technology Operations Enterprise Data Strategy Jobs in Berkeley, CA

Own the development and documentation of Enterprise Data Strategy by collaborating with Data ... operational, analytics use along with the right fit data technologies and their implementation ...

Define and execute the enterprise data, AI data readiness, and analytics strategy aligned with ... Architect scalable data warehouses, data lakes, and modern data stack operations (MLOps). 4. ...

... where operational metadata is continuously active, enterprise data governance is completely ... Minimum of 10+ years of enterprise data strategy experience. * Preferred: Master's degree or Ph.D ...

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Technology Operations Enterprise Data Strategy information

See Berkeley, CA salary details

$31

$88

$111

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 Berkeley, CA is $88.06, according to ZipRecruiter salary data. Most workers in this role earn between $76.54 and $100.96 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 Berkeley, CA are hiring for Technology Operations Enterprise Data Strategy jobs?

Cities near Berkeley, CA with the most Technology Operations Enterprise Data Strategy job openings:

Epic Data Strategy Implementation Lead - Hybrid - San Mateo, CA

Waterfall Technology Consulting Partners

San Mateo, CA โ€ข Hybrid

$95/hr

Full-time

Re-posted 16 days ago


Job description

We are partnered with a wonderful organization that is seeking a Data Strategy / Implementation Coordinator who will be responsible for leading and coordinating enterprise data strategy initiatives, cloud-based analytics programs, Epic reporting implementations, enterprise data modernization efforts, and cross-functional analytics projects across multiple departments.

This role partners with clinical, operational, financial, and technical stakeholders to ensure reporting solutions align with business priorities, data governance standards, and implementation objectives. The Coordinator serves as a key liaison between business leaders, analytics teams, and Information Technology to facilitate reporting initiatives, optimize Epic reporting tools, and drive successful implementation of enterprise data strategies.

Schedule & Travel

  • Duration: 10 months
  • Must be able to work on PST Business Hours
  • Travel is 3 to 6 days per month to San Mateo, CA
  • Pay Rate is up to $95/hour
  • Start Date: ASAP (Tentative 2 weeks after offer for onboarding)

Key Responsibilities

  • Coordinate and support execution of the organization's Enterprise Data Strategy, ensuring alignment between business objectives, analytics initiatives, reporting capabilities, and technology roadmaps
  • Partner with executive leadership, analytics teams, and Information Technology to develop and advance enterprise data management, governance, and modernization initiatives
  • Collaborate with cloud platform teams to support enterprise data and analytics solutions leveraging hyperscaler technologies such as AWS, Azure, and/or Google Cloud Platform (GCP)
  • Coordinate enterprise data platform initiatives, including data warehousing, data lake, interoperability, data integration, and advanced analytics programs
  • Lead governance and oversight activities related to enterprise data conversions, migrations, and third-party implementation partners
  • Facilitate development and adoption of enterprise data standards, metadata management practices, master data management (MDM), and data quality frameworks

Epic Lead Role Requirements

Leadership & Team Management

  • Direct experience leading analysts or application teams, not just participating on projects.
  • Experience with performance management, mentoring, career development, hiring, and succession planning.

Epic Experience

  • Minimum of 2 to 3 full Epic implementations as a consultant
  • Multiple Epic certifications (current or expired) within the applicable area are highly preferred
  • Demonstrated leadership responsibilities versus purely analyst-level work

Apply today!