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Manager Ai Data Engineer Jobs in Oregon (NOW HIRING)

phData

Program Manager, AI & Data

OR · On-site +1

You will operate as a Program Manager for data and AI programs, accountable for both execution and ... Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns ...

phData

AI & Data Strategy Architect

OR · On-site +1

$63.75 - $82/hr

Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships ... Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and ...

phData

Sr. Program Manager, AI & Data

OR · On-site +1

$115K - $116K/yr

Program/delivery management: Deep experience with multi-workstream initiatives (ideally data platforms, analytics, cloud, AI/ML) and strong command of Agile/iterative delivery. * Commercial ...

phData

Delivery Leader, AI & Data Strategy

OR · On-site +1

Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships ... Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and ...

Human Interest

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

The team actively uses AI tools as part of our development workflow, and we expect this role to ... Hands-on experience with managing cloud data warehouse technologies, including Snowflake or ...

Webflow

Staff Data Engineer

OR · On-site +1

$114K - $137K/yr

Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll... * Design data ... Embrace AI and emerging technologies, applying them in your development workflow and helping the ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine ...

US Bank

Technology Architect (AI & Data)

Gresham, OR · On-site

$67.50 - $86.75/hr

Leadend-to-end solution design, defining architecture across core banking systems, data, and AI ... Excellent communication and stakeholder management skills with the ability to influence engineering ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Cheesecake Labs

$63.75 - $82/hr

Cheesecake Labs is an AI, data, and product engineering partner for established and scaling ... manage and control candidate resumes in order to assess the necessary requirements such as the ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... prompt management * Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs

YipitData (Alternative)

Product Manager, AI

OR · On-site +1

Work closely with engineering, data, research, and design to ship high-quality, high-impact ... AI product ecosystem. Qualifications & Skills * 4-6+ years of product management or similar ...

ConnectWise

Product Manager- AI

OR · On-site +1

Collaborate with engineering, data, and AI/ML teams to deliver scalable solutions * Monitor product ... Ability to manage multiple priorities in a fast-paced environment * Detail-oriented with a strong ...

campus4tech

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1. Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large ...

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Manager Ai Data Engineer information

What is the difference between Manager Ai Data Engineer vs Data Scientist?

AspectManager Ai Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Data Engineering, or related; certifications in cloud platforms or data toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentLeads data engineering teams, manages data pipelines, and collaborates with AI teamsAnalyzes data, builds models, and interprets data insights
Employer & Industry UsageTech companies, finance, healthcare focusing on data infrastructure and AI projectsResearch institutions, tech firms, marketing, and analytics departments

The Manager Ai Data Engineer primarily oversees data engineering teams and infrastructure for AI projects, while Data Scientists focus on analyzing data and building predictive models. Both roles require strong technical skills, but their responsibilities differ in scope and focus within the data ecosystem.

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The most popular types of Ai Data Engineer jobs in Oregon are:

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For Manager Ai Data Engineer jobs in Oregon, the most frequently searched job titles are:

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Cities in Oregon with the most Manager Ai Data Engineer job openings:

Manager Ai Data Engineer jobs near you

Program Manager, AI & Data

OR • On-site, Remote

phData
IT Services • 501 - 1,000 employees
Learn more about phDataexternal

Full-time

Re-posted 20 days ago

Job description

This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes. You will be the "one hand to shake" - orchestrating multi-geo phData teams and partners, and ensuring technical delivery translates into measurable business impact.

Core Responsibilities

  • Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
  • Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
  • Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
  • Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
  • Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
  • Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
  • Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
  • Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
  • Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
  • Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements

  • Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
  • 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
  • Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
  • Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
  • Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
  • Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
  • Experience leading remote, multi-geo teams.
  • Bachelor's degree in IT or a related technical field.
  • PMP and CSM certifications are strongly preferred.
  • Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

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