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Manager Ai Data Engineer Jobs in Minnesota (NOW HIRING)

Sr. Manager, AI Enablement The Senior Manager, Artificial Intelligence leads the development ... Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position ... Flex My Way is a set of supportive workplace policies designed to help manage personal and ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... consistent analytics/AI consumption and creating reduced manual effort through reusable ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Implement and manage AWS services for data ingestion, processing, and storage * Collaborate with ... AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot * Build/Deployment: Jenkins, CI ...

Senior AI Engineer

Minneapolis, MN · On-site

$150 - $200/hr

Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance Qualifications * 7+ years of experience across software engineering, data engineering ...

Technology Architect (AI & Data)

Hopkins, MN · On-site

$64.75 - $83.25/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 ...

New

Technology Architect (AI & Data)

Minneapolis, MN · On-site

$66.50 - $85.50/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 ...

New

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ...

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ...

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 ...

... AI SOLUTIONS About Us: Working at Target means helping all families discover the joy of everyday ... You'll collaborate closely with engineers, product managers, data scientists, and business partners ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Onsite) Job Type: Contract Experience: Mid-to-Senior ... AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot * Build/Deployment: Jenkins, CI ...

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

AI/ML Development & Agentic Workflows [15%] * Design, develop, train, and deploy machine learning ... management practices. * Implement monitoring, observability, and freshness for critical data ...

Showing results 21-40

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

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

Sr. Manager, AI Enablement

Ocean Spray

Lakeville, MN • On-site

$128 - $176/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Key responsibilities

  • Oversee the development, execution, and evolution of Ocean Spray's enterprise AI strategy.

  • Identify, assess, and prioritize high-impact AI opportunities and lead the delivery of AI initiatives to ensure measurable business value.

  • Partner with cross-functional teams to design, deploy, and operationalize AI solutions leveraging enterprise applications, tools, and data.


Ocean Spray rating

9.0

Company rating: 9.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

14th of 444 rated food and drinks producers


Job description

Sr. Manager, AI Enablement

The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing evolution of Ocean Spray’s enterprise AI strategy. The role plays a critical part in driving initial awareness, adoption, and value, particularly through Microsoft Copilot, SAP, and other AI tools. It oversees the full AI portfolio, identifying and prioritizing high‑value use cases that deliver measurable business impact while building the foundational processes and capabilities needed for long‑term growth. The leader manages a small team of AI practitioners and works closely with IT, business functions, and external partners to design and deploy AI solutions that leverage enterprise applications, tools, and data. The role ensures all AI initiatives align with business goals, follow responsible AI practices, and support organizational transformation.

A Day in the LifeAI Strategy & Portfolio Leadership
  • Develop and refine the enterprise AI strategy in alignment with cooperative business priorities.
  • Identify, assess, and prioritize high‑impact AI opportunities across Commercial, Operations, Supply Chain, Finance, Corporate, and IT.
  • Build business cases that quantify expected outcomes, ROI, risks, and success metrics.
  • Lead execution of the AI portfolio to ensure delivery of measurable value.
  • Strengthen AI governance, security, and responsible AI practices.
  • Provide clear updates, portfolio reporting, and executive communications.
Technical Leadership & Delivery
  • Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and Cybersecurity teams to architect scalable AI solutions.
  • Contribute hands‑on to solution design, prototyping, model evaluation, and prompt engineering.
  • Support implementation of MLOps and model lifecycle practices with platform teams.
  • Ensure operationalization, monitoring, and performance optimization of AI solutions.
  • Provide technical direction to data scientists, ML engineers, IT product owners, and other contributors.
Cross‑Functional Collaboration & Adoption
  • Serve as a champion for AI awareness and adoption across the cooperative, especially focusing on embedding Microsoft Copilot, SAP, Workday and other approved tools into processes and workflows.
  • Support change management efforts to drive adoption of AI‑enabled improvements.
  • Build strong partnerships with internal stakeholders and external vendors to introduce leading tools and methods.
  • Foster a collaborative, learning‑oriented team environment.
What We Are Looking ForTechnical Skills
  • Strong understanding of AI/ML concepts (supervised/unsupervised learning, NLP, generative AI, optimization, predictive modeling).
  • Ability to prototype or evaluate AI models and prompts using tools such as Python and SQL.
  • Familiarity with enterprise AI platforms, cloud technologies, MLOps, and responsible AI frameworks.
  • Solid knowledge of data engineering fundamentals, data quality, and integration.
  • Experience with enterprise systems such as SAP S/4HANA, SAP IBP/SAC, Microsoft 365 Copilot, Maximo or SAP EAM/APM, Workday, and Azure services.
Strategic & Analytical Skills
  • Strong ability to evaluate business needs and size opportunities.
  • Skilled at translating complex technical concepts into business‑friendly language.
  • Capable of managing complex initiatives while balancing short‑ and long‑term priorities.
Leadership & Collaboration
  • Proven ability to lead, coach, and develop AI talent.
  • Strong cross‑functional influence and stakeholder management skills.
  • Sound decision‑making and adaptability in dynamic environments.
Communication & Change Leadership
  • Excellent written and verbal communication skills for technical and executive audiences.
  • Able to articulate value, risks, progress, and recommendations clearly.
  • Experience supporting change management related to AI adoption.
Education & Experience

Education: Bachelor's or University Degree (Required)

Work Experience: At least 7 Years of Experience

Annual Salary: $128,000 - $176,000

Benefits
  • Complete insurance package on Day‑1 that includes a plethora of health and wellness programs
  • Health, Dental and Vision insurance
  • Health savings account
  • Flexible spending account
  • Life and accident insurance
  • Employee assistance program
  • Telehealth services
  • 1:1 health coaching
  • Supportive benefits for all the stages of your life
  • 401(k) with up to 6% Company matching; additional potential discretionary match at year‑end
  • Short‑Term Incentive/Performance bonuses
  • Flexible scheduling options
  • Vacation pay, up to three weeks of time (pro‑rated for your first year of employment)
  • Holiday pay for 12 holidays
  • Career development and growth opportunities
  • Tuition/Education assistance programs
  • Access to LinkedIn Learning
  • Scholarship programs for children of employees
  • Parental leave
  • Bright Horizons Family Solutions – Back‑up care, tutoring, etc.
  • Adoption assistance
  • Bereavement leave
  • Up to $300 fitness reimbursement
  • Up to $300 massage reimbursement
  • Employee appreciation events
  • Employee discounts
  • Charitable giving

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

For MA Applicants – It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. Any employer who violates this law shall be subject to criminal penalties and civil liability.

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