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Data Ai Jobs (NOW HIRING)

Danaher

Data & AI Portfolio Manager

Washington, DC · On-site

The Data & AI Portfolio Manager is a high-impact, enterprise strategy role, focused on defining and shaping how data and AI enhance product innovation, tailored clinical evidence, and lead to ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is supported, and ...

Acxiom LLC

Senior Director, Data & AI Advisory

We are seeking a Sr. Director, Data & AI Advisory to lead Acxiom's Data & AI Advisory team within the broader Data & AI Services practice. This role is for a senior consulting leader who can advise ...

ENI

Come Lead Data & Ai Architect farai parte della funzione Digital Information Technologies di Eni. Con un profilo dalla leadership tecnica riconosciuta, sarai in grado di guidare la visione e la ...

Lancesoft

Data & AI Delivery Lead

Cambridge, MA · On-site

$165/hr

Data & AI Product Delivery Lead R&D And Medical Manager (Name, Job Title): Head of Data & AI Product Management and Delivery Location: Cambridge Type: Hybrid - Expected to be in office on Tuesdays ...

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Moab

Data & AI Analyst

New York, NY · On-site

$125K - $175K/yr

About the Role The Data & AI Analyst (Operations) will be a core member of the Business Operations team, sitting at the intersection of customer implementation, internal tooling, and data operations.

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · On-site

$118K - $142K/yr

You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business. We are ...

Toptal

Join to apply for the Practice Director, Data & AI role at Toptal Join to apply for the Practice Director, Data & AI role at Toptal Get AI-powered advice on this job and more exclusive features.

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Facilitate the internal and external data science & AI network * Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic Qualifications: * Master in Data ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

You will work across enterprise data, internal applications, automation, and modern AI-driven solutions to improve how information is accessed, understood, and used throughout the business. We are ...

Comrise

Manufacturing Data & AI Engineer

Foster City, CA · On-site

$70 - $76/hr

Manufacturing Data & AI Engineer Location: Foster City, CA (Onsite) Employment Type: Contract (3-6 Months) Pay Rate: $70-76/hour (W2) Additional Information: * W2 contract only. * This position ...

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How much do data ai jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data ai in the United States is $121,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data AI professionals, and how can they be addressed?

Data AI professionals often encounter challenges such as working with unstructured or incomplete data, integrating AI models within existing business systems, and keeping up with rapidly evolving technologies. Collaborating closely with data engineers, software developers, and business stakeholders is key to creating practical solutions that meet organizational needs. Staying proactive by regularly upskilling and participating in industry forums or trainings can help overcome technical hurdles. Many employers support continuing education, which helps Data AI professionals remain effective and innovative in their roles.

What are the key skills and qualifications needed to thrive in the Data Ai position, and why are they important?

To thrive as a Data AI professional, you need strong expertise in data analysis, machine learning, and programming, generally supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, SQL, TensorFlow, and cloud platforms, along with relevant certifications like AWS Certified Machine Learning or Microsoft Azure AI, is highly valued. Strong problem-solving abilities, communication skills, and a collaborative mindset help individuals excel in cross-functional team settings. These skills and qualities enable effective development, deployment, and interpretation of AI-driven data solutions that drive business impact.

What is a Data AI job?

A Data AI job involves working with artificial intelligence and data to analyze, process, and extract insights for decision-making. Professionals in this field use machine learning, data science, and analytics to develop models that improve business processes. They may work on tasks such as automating data workflows, optimizing AI algorithms, or building predictive models. Data AI roles can be found in industries like healthcare, finance, and technology, helping organizations leverage AI for better outcomes.

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Data Ai jobs near you
Infographic showing various Data Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $121,871 per year, or $58.6 per hour.
Enterprise Data & AI Architect

Enterprise Data & AI Architect

Bay Cities Container

Pico Rivera, CA • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

JOB TITLE: Enterprise Data & AI Architect
DEPARTMENT: Information Technology
REPORTS TO: CITO
FLSA STATUS: Exempt
Bay Cities, an Employee-Owned Company, is the leading creative packaging and display partner to brand marketers, retailers and e-commerce. Our passion, experience, technology, and consumer insights move product and drive sales.
Our Mission
Our Passion Powers Your Product
Our Values
Creativity: Our ideas create Client success.
Passion: We have heart with a Customer Service attitude.
Integrity: We honor our business & planet with sustainable practices.
Responsible: We own it!
Safe: Our safe work habits protect us all.
Fun: We take our work seriously- not ourselves
SUMMARY
Bay Cities Container has an exciting opportunity for an Enterprise Data & AI Architect for a remote based position. Bay Cities is located in Southern California (Greater Los Angeles area) and is seeking an Enterprise Data & AI Architect to either work remotely or on site. The ideal candidate will live anywhere in the United States but have the ability to travel to our corporate location as needed. Bay Cities is an Employee Owned (ESOP) corrugated packaging and display manufacturer. We design, manufacture, and deliver custom packaging, point-of-purchase displays, and fulfillment solutions for major national brands. We are in the middle of a CEO sponsored digital transformation- building an enterprise intelligence platform that connect our manufacturing, financial, sales, and operational systems through modern data architecture and AI. This is not a planning exercise. We have a functioning platform with proven results already in production.
The Role
We are hiring an Enterprise Data & AI Architect to own and extend the data intelligence and AI automation platform that drives our business transformation. You will report directly to the CIO and lead a small BI/analytics team (3-4 members).
This is a hands-on technical leadership role. You will write SQL, build semantic models, design data pipelines, configure AI-assisted workflows, and deliver measurable business outcomes- not just draw architecture diagrams. You'll inherit a functioning platform with real production workloads and be expected to keep it running while expanding its capabilities.
What You'll Do
Data Architecture & Warehousing
  • Own and extend a SQL Server analytics data warehouse with dimensional modeling (star schema, conformed dimensions, fact/dimension tables).
  • Design and maintain data pipelines from multiple legacy source systems (ERP, logistics, workflow management) through to Microsoft Fabric.
  • Handle complex temporal data challenges- reconciling multiple systems with incompatible time grains.
  • Maintain schema governance, documentation, and data lineage.

Business Intelligence & Reporting
  • Build and maintain Power BI semantic models deployed to Microsoft Fabric.
  • Develop DAX measure libraries for financial and operational reporting.
  • Deliver executive dashboards- P&L, Balance Sheet, Flash Reports, cost analysis, operational metrics.
  • Ensure data quality through validation and reconciliation between source systems and reporting layers.

AI & Automation
  • Design and orchestrate AI agent workflows for business process automation.
  • Build workflow automations for data pipelines, alerting, and system integration.
  • Implement agent-assisted analytics- where AI investigates, subject matter experts validate, and the system learns.
  • Manage prompt engineering, AI governance, and safety boundaries for production AI systems.

Manufacturing Cost Intelligence
  • Work with legacy ERP cost models (Activity-Based Costing, BOM structures, GL interaction).
  • Build margin analysis, vendor spend tracking, and cost-per-unit modeling.
  • Reconcile estimated costs against actuals across multiple systems.

Stakeholder Delivery
  • Translate business needs from executives (CFO, CRO, COO) into data products.
  • Manage a portfolio of concurrent analytics projects from intake through delivery.
  • Deliver iteratively- prove value in days, not months.

Team Leadership
  • Lead and mentor a small BI/Analytics team.
  • Distribute work to eliminate single-person bottlenecks and knowledge concentration.
  • Build team capability so institutional knowledge compounds across people, not in one person.
  • Ensure IT governance: proper secrets management, access controls, and security practices.

Requirements
Qualifications
Required
  • 5+ years SQL Server/T-SQL- complex analytical queries, views, stored procedures, dimensional modeling. This is a daily tool, not an occasional one.
  • 3+ years Power BI/DAX- Semantic model development, DAX measures, evaluation context. Experience deploying models to production environments.
  • Microsoft Fabric or equivalent cloud analytics platform- Data warehouse, pipelines, semantic models, workspace governance. Azure Synapse, Databricks, or Snowflake experience translates well.
  • Data Warehouse Design- Dimensional modeling, star schemas, ETL/ELT patterns, slowly-changing dimensions. You've built and maintained a production data warehouse.
  • Python- Data transformation, scripting, and automation. Experience with data science libraries (pandas, scikit-learn) is a plus.
  • Git Version Control- All code, models, and documentation are version-controlled. Comfortable with collaborative development workflows.
  • API Integration- Rest APIs, authentication flows, webhook patterns. You'll connect ERP, logistics, and cloud services.

Strongly Preferred
  • AI/LLM experience- Hands-on with Claude, OpenAI, or similar. Understanding of prompt engineering, agent orchestration, or agentic AI patterns.
  • Workflow Automation Platforms- n8n, Azure Logic Apps, Power Automate, Zapier, or Make. Building automated data flows and business process automation.
  • Manufacturing or industrial ERP systems- Any background with ERP platforms in a manufacturing context (SSAP, Oracle, Infor, Epicor, Amtech or similar). The specific system is learnable; the domain intuition is not.
  • Financial reporting concepts- GL structure, P&L, Balance Sheet, Cost Accounting. You'll partner closely with Finance.
  • PowerShell- Infrastructure scripting, automation, and diagnostics in a Windows/Azure environment.
  • Azure AD/Identity Management- Service accounts, credential lifecycle, gateway authentication.

Nice to Have
  • Experience in packaging, printing, or discrete manufacturing.
  • Change Management Awareness- understanding how technology adoption affects people.
  • Vector database experience (Chroma, Pinecone, Weaviate).
  • Data Vault 2.0 methodology.

What You Don't Need to Know (We'll Teach You)
  • Our Specific ERP system and its data structures- they're well-documented, and you'll have AI-assisted tooling to explore them.
  • Corrugated packaging manufacturing process- the domain is learnable and our platform captures institutional knowledge to help you ramp up.
  • Our specific AI agent framework- if you understand the fundamentals of LLMs and prompt engineering, you'll pick up our implementation quickly.
  • The history of how we got here- what matters is where we're going.

What Success Looks Like
  • First 30 days: Understand the data architecture end-to-end (source systems-data warehouse-Fabric-Power BI)- Take ownership of existing production models and dashboards- Meet with key business stakeholders to understand their priorities- Assess current security Posture.
  • First 90 Days: Deliver 2-3 projects end-to-end with measurable business impact. Reduce single-person dependencies on critical data paths. Implement proper secrets management and access controls. Ensure all platform assets are under enterprise IT governance.
  • First 6 months: Team is delivering analytics projects independently without bottlenecks. Data pipeline architecture is documented, monitored, and resilient. AI automation framework is maintainable by the team, not dependent on any one person. New projects are being triaged and delivered on predictable, repeatable cycles.

What We Offer
  • ESOP Ownership- You become an employee-owner. Your work builds your equity.
  • Direct Impact- Small team, big mandate, CEO-sponsored transformation with proven results.
  • Modern Stack- Microsoft Fabric, Power BI, AI Agents, Git-based development.
  • Autonomy- Build real systems that deliver real business outcomes, not proof-of0concepts that sit on a shelf.
  • Growth- This role expands as the platform expands. You'll shape what it becomes.

Other
  • US Persons Only (US citizens, lawful permanent residents, refugee or asylee - all require proper identification and documentation).
  • Up to 25% travel required.
  • Physical and Environmental Requirements: While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to stand and sit. The employee is occasionally required to walk and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision and color vision.
  • Work Environment: This is a full-time remote or Hybrid position, with occasional travel to Bay Cities Container offices or facilities as needed.
  • In this role, you will be instrumental in shaping Bay Cities Container's data landscape, driving innovation, and enhancing operational efficiency through data-driven insights and solutions.
  • Pre-Employment Verifications: Must pass background and reference checks, drug screen, and physical examination prior to employment.

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