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Technology Operations Enterprise Data Strategy Jobs in Oregon

ConnectWise

IT Enterprise Data Architect

OR · On-site +1

... operations, analytics, integrations, and AI initiatives. The role works in partnership with ... Communicates recommendations, risks, and strategic direction to leadership and cross-functional ...

Montefiore

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

... operations teams. Montefiore is actively investing in its data & analytics driven solutions as a ... Lead architecture reviews and ensure alignment with enterprise IT strategy. Drive cross-functional ...

Kynite

Enterprise Data Architect

OR · On-site +1

... technology company specializing in the disciplines of: Blockchain, Cloud Services, Big Data ... Provide operational support for Management Information Systems (MIS) Qualifications 10+ years of ...

Cordance

Data Architect

OR · On-site +1

$63.75 - $82/hr

Define a shared enterprise data model, canonical business definitions, master-data strategy, and ... Enable trusted enterprise dashboards and cross-product reporting that support operational, customer ...

Amerilife Group, LLC

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

... operational and analytical workloads. * Establish enterprise data modeling standards, naming ... technologies and recommend future-state architecture aligned with enterprise strategy. Required ...

SAP North America

... technologies including Databricks and Snowflake that serve as the enterprise data backbone. · ... strategy with customers through innovative, pragmatic solutions that deliver measurable results.

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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 Oregon are hiring for Technology Operations Enterprise Data Strategy jobs?

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

Technology Operations Enterprise Data Strategy jobs near you

IT Enterprise Data Architect

ConnectWise

OR • On-site, Remote

Full-time

Posted 29 days ago

Key responsibilities

  • Owns and continuously evolves the enterprise data model spanning core corporate systems.

  • Designs and governs canonical data objects, entity relationships, data taxonomies, and classification standards.

  • Provides architecture leadership for enterprise platforms such as Salesforce, Snowflake, and NetSuite.

ConnectWise rating

8.5

Company rating: 8.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies

Job description

General Summary:

The IT Enterprise Data Architect is responsible for defining, governing, and evolving ConnectWise's enterprise data architecture across the internal technology estate. This role establishes enterprise data models, canonical and semantic data layers, data classification standards, and field-level mapping frameworks that enable reliable business operations, analytics, integrations, and AI initiatives. The role works in partnership with Internal IT, Data Engineering, Information Security, Business Applications, Integration, and Product & Engineering teams to ensure enterprise-wide data consistency, governance, interoperability, and strategic alignment.

Essential Duties and Responsibilities:

  • Owns and continuously evolves the enterprise data model spanning core corporate systems.
  • Designs and governs canonical data objects, entity relationships, data taxonomies, and classification standards.
  • Establishes enterprise-wide field-level mapping standards and integration design principles across systems and through the Boomi integration platform.
  • Defines semantic and canonical data layers that support enterprise analytics, AI, and automation initiatives.
  • Provides architecture leadership for Salesforce, Snowflake, NetSuite, and other enterprise platforms.
  • Leads data architecture activities related to mergers and acquisitions, including data mapping, integration strategy, and enterprise data alignment.
  • Partners closely with Data Engineering and Information Security teams to ensure data quality, governance, compliance, lineage, and protection requirements are met.
  • Performs hands-on data analysis, profiling, querying, and validation activities to support architecture decisions and data quality initiatives.
  • Establishes and maintains enterprise data standards, governance processes, metadata practices, and architecture documentation.
  • Serves as a key contributor to the Data Architecture Working Group and provides guidance on strategic architecture decisions.
  • Collaborates with technical and business stakeholders to drive enterprise-wide adoption of data architecture standards and best practices.
  • Communicates recommendations, risks, and strategic direction to leadership and cross-functional teams.

Knowledge, Skills, and/or Abilities Required:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Recognized subject matter expert in enterprise data architecture, data modeling, and governance.
  • Deep experience designing enterprise data models, semantic layers, canonical data structures, and master data strategies.
  • Advanced knowledge of Salesforce data architecture, including highly customized environments.
  • Strong hands-on experience with Snowflake, SQL, Microsoft Fabric, and Boomi integration architecture.
  • Knowledge of data governance, metadata management, lineage, classification, and data quality frameworks.
  • Experience designing data solutions that support enterprise AI, machine learning, analytics, and automation use cases.
  • Strong analytical and problem-solving skills with the ability to investigate complex data challenges and drive resolution.
  • Ability to influence and establish standards across teams without direct authority.
  • Excellent communication, stakeholder management, and technical documentation skills.
  • Ability to manage large-scale strategic initiatives independently with limited supervision

Educational/Vocational/Previous Experience Recommendations:

  • Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field, or equivalent professional experience.
  • 10+ years of experience in enterprise data architecture, data modeling, data governance, or related disciplines.
  • Demonstrated experience with enterprise platforms such as Salesforce, Snowflake, NetSuite, and Boomi.
  • Experience supporting enterprise AI, analytics, digital transformation, or M&A integration initiatives preferred.
  • Relevant certifications in Salesforce, Snowflake, Boomi, or enterprise architecture are preferred.

Working Conditions:

  • Onsite, Hybrid, or Remote depending on location.
  • Occasional travel may be required to support business initiatives, stakeholder workshops, or integration activities.
  • May require communication with senior leadership and cross-functional teams globally.

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