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Technology Operations Enterprise Data Strategy Jobs in Oregon

... data, and enterprise data management. * Help clients define how operational, CRM, financial ... Strategy & Planning: Design integration architectures and blueprints, map end-to-end data flows ...

AI & Data Strategy Architect

OR ยท On-site +1

$63.75 - $82/hr

phData is seeking an AI & Data Strategy Architect to join our Advisory team. You will work with ... Make architecture and technology recommendations clearly tied to business outcomes across cloud ...

New

Drive innovation across security, data privacy, data and development operations and infrastructure * Define the technology operations strategy and roadmap to support current and future business needs ...

Lead enterprise Data Governance engagements from strategy through implementation, serving as a trusted advisor to executive, business, and technology stakeholders. * Conduct governance maturity ...

This individual will lead the design, development, modernization, and operation of enterprise-scale ... Leadership Competencies * Strategic and visionary technology leader. * Strong enterprise ...

phData is seeking an AI & Data Strategy Leader to join our Advisory team. You'll work with senior ... Bridge the gap between business needs and technology: develop balanced technical, organizational ...

$200K/yr

Key Responsibilities Lead, mentor, and develop a team of Data Engineers supporting enterprise ... Partner closely with Analytics, Operations, and business stakeholders to translate business ...

With business and technology transformation on the horizon, there's never been a better time to be ... Exposure to executive stakeholders while helping communicate strategic business insights through ...

Deloitte's Technology, AI, and Data Strategy professionals assist with: Qualifications Required ... Master of Business Administration * 6+ years of experience serving Fortune 500 or large enterprise ...

Lead Data Privacy Engineer

Salem, OR ยท On-site

$107 - $284/hr

... strategy, design, and implementation of scalable privacy-enhancing technologies and enterprise data ... and operational efficiency. REQUIRED QUALIFICATIONS * 7+ years advancing Privacy Engineering ...

Senior Manager, Finance Data Platform

OR ยท On-site +1

$108K - $148K/yr

This is a hands-on technology leadership role requiring a strong combination of enterprise data ... enhancements, strategic projects, production incidents, defects, and recurring operational ...

... business strategy. Enterprise Architects provide technical leadership across analysis, design ... Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data ...

... business strategy. Enterprise Architects provide technical leadership across analysis, design ... Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data ...

Infrastructure Data Analytics Engineer

Gresham, OR ยท On-site

$121K - $145K/yr

... and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy ...

... business strategy. Enterprise Architects provide technical leadership across analysis, design ... Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data ...

... business strategy. Enterprise Architects provide technical leadership across analysis, design ... Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data ...

Showing results 21-40

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:

Principal Consultant - Data Lead

Attain Partners

OR โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Key responsibilities

  • Serve as the primary data and technical point of contact for client leadership and key stakeholders.

  • Write and troubleshoot complex SQL queries, analyze datasets, and support data migration and integration activities.

  • Advise on data strategies, governance frameworks, and design integration architectures to ensure successful delivery.


Job description

Role Overviewย 

The Principal Consultant - Data Lead serves as the senior data leader for Higher Education transformation engagements, with a strong requirement for experience with Ascend CRM and Advancement data.ย 

This role combines Engagement Leadership, hands-on SQL and data development, Data Strategy, Data Governance, and Integration Advisory. The individual must be comfortable leading executive and client conversations while also working directly with technical teams to analyze data, develop SQL, define integration patterns, and drive successful delivery.ย 

Key Responsibilitiesย 

Engagement & Client Leadershipย 

  • Serve as the primary data and technical point of contact for client leadership and key stakeholders.ย 
  • Build trusted client relationships and ensure strong satisfaction, retention, and value realization.ย 
  • Provide oversight across project scope, schedule, budget, risks, quality, and deliverables.ย 
  • Lead and mentor consultants, business analysts, developers, and other project team members.ย 
  • Facilitate executive and working-team discussions, resolve issues proactively, and align delivery with client objectives.ย 
  • Identify risks, dependencies, and decisions requiring client or project leadership attention.ย 
  • Translate technical delivery activities into clear business outcomes and executive-level communication.ย 

Higher Education / Ascend CRM Leadershipย 

  • Bring strong knowledge of Higher Education Advancement data and CRM processes, preferably with direct Ascend CRM implementation or migration experience.ย 
  • Understand constituent, household, organization, gift, campaign, fund/designation, prospect, portfolio, and engagement data.ย 
  • Advise clients on data migration, conversion, reconciliation, integration, and data quality strategies associated with Ascend implementations.ย 
  • Partner with functional Advancement teams to translate business requirements into data and technical solutions.ย 
  • Understand the relationships between Advancement CRM, finance, identity, marketing, analytics, and other institutional systems.ย 

SQL Development & Data Engineeringย 

The Data Lead must remain technically hands-on and capable of directly supporting development when needed.ย 

  • Write and troubleshoot complex SQL queries.ย 
  • Analyze large datasets to identify data quality, transformation, mapping, and reconciliation issues.ย 
  • Support source-to-target mapping and migration development.ย 
  • Perform data profiling and assist with cleansing, normalization, deduplication, and transformation rules.ย 
  • Support developers during complex migration and integration troubleshooting.ย 

Data Strategyย 

  • Serve as a bridge between executive leadership, business stakeholders, functional teams, and technical engineering/analytics teams.ย 
  • Translate organizational goals and business requirements into actionable data strategies and technical requirements.ย 
  • Develop current-state and future-state data architectures and roadmaps.ย 
  • Advise clients on data platforms, integration patterns, analytics architecture, master data, and enterprise data management.ย 
  • Help clients define how operational, CRM, financial, engagement, and analytical data should work together across the organization.ย 

Data Governance & Data Qualityย 

  • Establish and advise on enterprise data governance frameworks.ย 
  • Define data ownership, stewardship, accountability, and decision-making structures.ย 
  • Develop data standards, business definitions, and data quality controls.ย 
  • Establish processes for:ย 
  • Data quality monitoringย 
  • Data remediationย 
  • Data ownershipย 
  • Metadata and definitionsย 
  • Data lifecycle managementย 
  • Governance escalation and decision makingย 
  • Partner with business and technical stakeholders to embed governance into operational processes rather than treating governance as a standalone initiative.ย 

Integration Advisoryย 

  • Strategy & Planning: Design integration architectures and blueprints, map end-to-end data flows, define integration patterns, and establish technical requirements across cloud and on-premise environments.ย 
  • Cross-Functional Collaboration: Partner with business stakeholders, IT teams, application owners, architects, and external vendors to align integration requirements, priorities, dependencies, and business outcomes.ย 
  • Execution & Delivery Oversight: Provide technical leadership across design, development, testing, deployment, and stabilization while managing risks, dependencies, timelines, and overall solution quality.ย 
  • Support & Troubleshooting: Analyze integration failures, logs, data issues, and system errors; coordinate root-cause analysis and resolution of production incidents and interface issues.ย 
  • Integration Advisory: Serve as a subject matter expert on integration architecture, patterns, platforms, and best practices, recommending improvements that increase scalability, reliability, maintainability, and operational efficiency.ย 
  • Standards & Governance: Establish reusable integration standards, naming conventions, error-handling approaches, monitoring practices, security requirements, and documentation expectations.ย 
  • Platform Guidance: Advise on the appropriate use of APIs, batch/file processing, ETL/ELT, event-driven architecture, real-time and near-real-time integrations, and middleware/iPaaS platforms.ย 
  • Provide advisory guidance across platforms such as MuleSoft, Boomi, Informatica, Workato, Azure, AWS, and similar enterprise integration technologies.ย 

Required Qualificationsย 

  • Significant consulting experience leading complex enterprise data initiatives.ย 
  • Experience within Higher Education, preferably Advancement, fundraising, alumni relations, or constituent data.ย 
  • Experience with Ascend CRM strongly preferred.ย 
  • Strong hands-on SQL development capabilities.ย 
  • Experience with data migration, source-to-target mapping, transformation, data quality, integration, and reconciliation.ย 
  • Demonstrated ability to lead client engagements and communicate effectively with executive stakeholders.ย 
  • Experience leading cross-functional technical and functional teams.ย 
  • Strong understanding of enterprise data architecture, data governance, integration architecture, and data management principles.ย 
  • Experience designing or advising on APIs, ETL/ELT, batch, real-time, and event-driven integration patterns.ย 
  • Ability to move between executive strategy discussions and detailed technical problem solving.ย 
  • Excellent written, verbal, presentation, and facilitation skills.ย 

Ideal Candidate Profileย 

The ideal candidate is not purely a project manager, architect, or developer. This person can operate across all three levels:ย 

Executive: Build trust, communicate strategy, manage risk, and advise leadership.ย 

Delivery: Own outcomes, coordinate teams, manage scope and priorities, and drive decisions.ย 

Technical: Get into the data, write SQL, review mappings, design integration approaches, troubleshoot interfaces, and help solve difficult migration and data-quality problems.ย 

The successful candidate should be viewed by the client as the overall Data Lead and trusted advisor for the engagement, while remaining technical enough to work directly alongside developers, architects, analysts, integration teams, and client data teams.ย 

Additional Requirements:

  • Demonstrated ability to build trusted advisor relationships with clients
  • Experience supporting sales and business development
  • Position requires flexibility to travel periodically based on business and client needs

Additional Information

Attain Partners values your mental, emotional, and physical health and wellbeing. Our comprehensive benefits package starts on your first day of employment and includes benefits such as:

  • Competitive health, dental, and vision coverage, HSA and FSA accounts, life and disability insurance, fertility and family planning benefits, and employee assistance and discount programs
  • 11 paid federal holidays and flexible unlimited time off (UTO)
  • Generous 401(k) matching with immediate vesting
  • Flexible career paths - our career tracks provide advancement, mobility, and flexibility as you continue to grow with us
  • A healthy environment where we value unique experiences, and care about everything that makes you, you.

Attain Partners is committed to fair and equitable compensation practices. Individual compensation will be commensurate with experience, education, and skills.