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Data And Ai Jobs (NOW HIRING)

Prophecy Technologies

Data & AI Engineer

Bellevue, WA · On-site

$129K - $155K/yr

The Data & AI Engineer will be responsible for designing, building, and optimizing scalable data pipelines and AI-ready data platforms. This role focuses on enterprise-scale data engineering, strong ...

Weir

Transformation Data & AI Architect

Portland, OR · Hybrid

$67.50 - $87/hr

Transformation Data & AI Architect Division: IS&T Location: Flexible Onsite/Hybrid/Remote/Shift Purpose of Role: Weir's global SAP S/4HANA (S4+) transformationrepresentsa once-in-a-generation ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML engineering, and partner directly with product, engineering, and customer-facing leaders to ...

Carlyle

Data & AI Engineer

New York, NY

$125K - $150K/yr

Data & AI Engineer Location: New York/OVA Line of Business: Global Technology & Solutions Job Function: Investor Services Date: Thursday, May 28, 2026

National Grid

Data & AI Director

Waltham, MA

About The Role The AI & Data Director will be responsible for leading and executing the US Data and AI strategy, driving data maturity across US Gas and Electric business areas, and ensuring that ...

CIG COMPANIES SERVICES

Head of Data & AI

Orlando, FL

The Head of Data and AI leads the strategy, governance, and execution of data and AI initiatives across portfolio companies, turning cross-business data into measurable business value. This leader ...

Truity Credit Union

Data & AI Engineer

Lawrence, KS

$104K - $125K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Stellantis is a global automotive company seeking a Data & AI Scientist to develop advanced data use cases in their Global Supply Chain business domain. The role involves building predictive models ...

The Carlyle Group

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

They are seeking a Data & AI Engineer who will be responsible for building and operating data pipelines, semantic layers, retrieval systems, and AI-ready data products that power analytics ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML engineering, and partner directly with product, engineering, and customer-facing leaders to ...

Truity Credit Union

Data & AI Engineer

Bartlesville, OK · On-site

$98K - $118K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

Truity Credit Union

Data & AI Engineer

Houston, TX · On-site

$110K - $133K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

CIG COMPANIES SERVICES

Head of Data AI

Orlando, FL

The Head of Data and AI leads the strategy, governance, and execution of data and AI initiatives across portfolio companies, turning cross-business data into measurable business value. This leader ...

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML engineering, and partner directly with product, engineering, and customer-facing leaders to ...

Truity Credit Union

Data & AI Engineer

Bartlesville, OK · On-site

$98K - $118K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

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Data And Ai information

What are the key skills and qualifications needed to thrive as a Data and AI Specialist, and why are they important?

To thrive as a Data and AI Specialist, you need strong analytical skills, a solid background in mathematics or computer science, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data visualization tools, and cloud platforms is typically required, along with relevant certifications such as Microsoft Certified: Azure AI Engineer or Google Professional Data Engineer. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that help in translating complex data insights into actionable business strategies. These skills and qualities are crucial for developing impactful AI solutions, ensuring data-driven decision-making, and driving innovation within organizations.

What are some typical challenges faced by professionals working in Data and AI roles, and how can they be addressed?

Professionals in Data and AI roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and addressing biases in AI models. Additionally, staying current with rapidly evolving technologies and tools can be demanding. Collaborating closely with cross-functional teams—including data engineers, business analysts, and stakeholders—helps ensure that solutions are both technically sound and aligned with business goals. Regularly participating in training and industry forums can also aid in keeping skills up to date and overcoming these challenges.

What is the difference between Data And Ai vs Data Analyst?

AspectData And AiData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness environments across industries; focus on analyzing data to inform decisions
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in business intelligence, reporting, and data-driven decision making

Data And Ai professionals focus on creating AI models and algorithms, often requiring advanced programming and machine learning skills. Data Analysts interpret data to generate insights, reports, and support decision-making. While both roles work with data, Data And Ai roles are more technical and development-oriented, whereas Data Analysts focus on analysis and visualization.

What are Data and AI jobs?

Data and AI jobs refer to roles that focus on collecting, processing, analyzing, and interpreting large sets of data using artificial intelligence and machine learning techniques. These positions include data scientists, machine learning engineers, data analysts, AI researchers, and related professions. The goal of these jobs is to extract meaningful insights from data, build predictive models, and develop intelligent systems that can automate or enhance decision-making processes in various industries.
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Infographic showing various Data And Ai job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Managing Director, Data & AI

Managing Director, Data & AI

Pioneer Management Consulting

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Grow with us. Lead with us.
At Pioneer, you'll work directly with executive teams, solving complex problems and shaping strategies that reset what's possible. Sometimes the work is headline-worthy. Sometimes it's foundational. But every project earns trust - and earns us the right to take on more. You'll get the kind of access, challenge, and growth found at big firms - while helping build a company that's scaling fast and guided by what we value.
If you're looking for meaning, momentum, and a seat at the table, you're in the right place.
The Managing Director (MD) of Data & AI is the senior executive accountable for the performance, growth, and long-term health of Pioneer's Minneapolis Data & AI practice. This role leads a newly unified team - formed by merging Pioneer's established data engineering and analytics capability with its AI and machine learning practice - and is responsible for integrating these teams into a coherent, market-leading offering.
The MD blends deep technical fluency in modern data platforms (Databricks, Microsoft Azure & Fabric, Snowflake) with applied AI/ML expertise to deliver measurable outcomes for clients. This role serves as the primary growth engine and senior client relationship owner for data and AI work across the Minneapolis market, and contributes to the broader direction of Pioneer's Technology Services strategy.
The MD brings consultative credibility and helps clients harness data and AI as a strategic asset. The MD leads with executive presence, builds pipeline through relationships and reputation, and ensures the practice delivers with quality, pace, and accountability.
CORE ACCOUNTABILITIES
The Managing Director owns market outcomes across revenue, margin, client satisfaction, team engagement, and practice depth. Primary focus areas are business development and senior client relationship management, with accountability for the full practice P&L and the health of the newly merged team.
KEY RESPONSIBILITIES
Growth & Business Development
  • Own and grow the Minneapolis Data & AI pipeline - from initial relationship to signed engagement
  • Lead executive-level client conversations across data strategy, AI enablement, and platform modernization
  • Develop and execute the Data & AI go-to-market strategy for Minneapolis, aligned to firmwide direction in collaboration with Pioneer's National Solutions Team.
  • Drive account planning and expansion within existing clients across sectors, with an eye toward industries where data and AI create high strategic value
  • Represent Pioneer at industry events, conferences, and thought-leadership forums to build market visibility
  • Contribute to Pioneer's overall Technology Services strategy, collaborating with market and practice leaders to bring integrated solutions to clients

Client Delivery & Relationships
  • Serve as executive sponsor on key client engagements, ensuring quality, risk management, and satisfaction
  • Maintain senior-level client relationships as a trusted advisor on data and AI strategy
  • Set and uphold delivery excellence standards aligned to Pioneer's delivery model and client satisfaction expectations
  • Translate client business problems into concrete data and AI solutions leveraging Pioneer's capabilities
  • Oversee utilization strategy and resource deployment across the practice portfolio

Practice Leadership & Team
  • Lead the integration of Pioneer's data engineering/analytics and AI/ML teams into a unified, high-performing practice
  • In partnership with Pioneer National Solutions team, refine the practice's service offerings, delivery methodology, and technology platform standards (Databricks, Azure, Fabric, Snowflake)
  • Build and retain a strong team of data engineers, analytics consultants, data scientists, and ML engineers
  • Drive talent acquisition, onboarding, and career development in partnership with Pioneer's talent processes
  • Foster a culture of collaboration, continuous learning, and delivery accountability
  • Own org design decisions and headcount planning as the practice scales

Planning & Operations
  • Own annual business planning for the Minneapolis Data & AI practice, including revenue targets, headcount, and investment priorities
  • Manage practice financials: revenue, margin, utilization, and pipeline health through Pioneer's operating systems (PioHub)
  • Participate in Pioneer's Operating Model reviews and cross-market resource management
  • Maintain visibility into AI/ML project portfolio performance and delivery risk across client engagements

Innovation & Offering Development
  • Champion a product-oriented mindset within the practice - applying product development lifecycle thinking to how Pioneer builds and scales data and AI solutions
  • Identify opportunities to develop repeatable accelerators, frameworks, and IP across the data and AI stack
  • Stay current on advancements in AI/ML, data engineering, and platform technology; translate trends into client-relevant points of view
  • Collaborate with Pioneer's broader AI team and firmwide leadership on cross-portfolio innovation initiatives

Requirements
Required
  • 15+ years of experience in data, analytics, AI/ML consulting or professional services
  • Demonstrated ability to grow revenue, manage a P&L, and own client relationships at the senior executive level
  • Hands-on fluency with modern data platforms & their AI capabilities - Databricks, Microsoft Azure & Fabric, and/or Snowflake
  • Experience leading or overseeing applied AI and machine learning engagements in a consulting or product context
  • Track record of building, integrating, and scaling high-performing technical consulting teams
  • Strong executive presence with the ability to influence C-suite stakeholders and win competitive work
  • Entrepreneurial mindset with sound judgment, decisiveness, and comfort with ambiguity
  • Thrives in a high-accountability, growth-oriented environment with a bias toward action

Preferred
  • Industry experience in utilities, energy, or infrastructure - ideally with direct client relationships in the sector
  • Exposure to product development lifecycle and product ownership practices within a consulting or technology firm
  • Experience leading organizational integrations or practice mergers
  • Experience working with technology partnership networks (e.g. Microsoft, Anthropic, etc.)
  • Familiarity with AI governance, responsible AI frameworks, and enterprise AI deployment at scale
  • MBA or advanced degree in a quantitative or technical discipline

TECHNOLOGY PLATFORM EXPERTISE
The following platforms represent Pioneer's core delivery stack for this practice. Expertise in at least two is expected; the MD is expected to credibly lead client conversations across all.
  • Databricks: Data lakehouse, unified analytics, and ML engineering
  • Microsoft Azure & Fabric: Cloud data platform, real-time analytics, and end-to-end data integration
  • Snowflake: Cloud data warehousing and data sharing
  • AI / ML Tooling: Model development, MLOps, LLM orchestration, and enterprise AI deployment
  • Low Code / No Code Platforms: Governance, training, deployments and process automation

#LI-EH1
Location:
Must be able to maintain hybrid schedule in Minneapolis, MN market.
Benefits
The estimated salary range for this role is $180,000-285,000 annually, depending on factors such as skillset and experience. Bonuses and other incentives are awarded based on individual contributions and overall company performance.
Pioneer offers a comprehensive benefits package, including meaningful time off and paid holidays, parental leave, 401(k) with employer match, tuition reimbursement, and a broad range of health and welfare benefits, including medical, dental, vision, life, and disability coverage.

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