Fabrication Value Stream Integration Lead Jobs

New

Fabrication Value Stream Integration Lead

At Boeing, we innovate and collaborate to make the world a better place. We’re c...

Location

United States , Everett

Salary:

113400.00 - 132200.00 USD / Year

Boeing

Expiration Date

January 09, 2026

Requirements

5+ years of experience in Procurement and Supply Chain Processes
5+ years of experience collaborating with senior management and/or executive leadership
5+ years of experience in leading through influence and partnering with cross-functional teams on projects, transactions or initiatives
Experience analyzing and applying metrics to enable key business decisions and process improvement
Domestic travel as needed

Job Responsibility

Ensure integration and collaboration with stakeholders, including Fabrication leaders, Fulfillment teams, Category teams, and Supplier Quality
Utilize supply chain experience to remove roadblocks, drive resolution, and increase stakeholder trust and satisfaction
Ensure resolution of top supplier issues and risks for assigned Fabrication business units
Provide visibility on supplier recovery plans and progress to plan
Assess rate readiness risks, within the business unit, tied to supplier late delivery and ensure plans to mitigate risks

What we offer

Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work

Fulltime

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

Ai Architect

Our client - leading jewelry company is seeking a seasoned AI Architect to lead ...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Extensive experience in AI and ML architectures, including knowledge of LLMs, traditional ML, Generative AI and other advanced AI concepts’, chatbot frameworks, hallucination mitigation techniques, and other advanced AI concepts
Prior experience as a Solution Architect or similar role, with demonstrated success in deploying AI/ML platforms and tools
Experience with cloud platforms, preferably Azure, and AI/ML tools within cloud environments
Strong proficiency in designing AI architectures, particularly in areas like MarTech, digital retail, and personalization
Familiarity with architectural frameworks like TOGAF or Zachman and expertise in Domain-Driven Design (DDD)
Hands-on experience with MLOps, cloud-native solutions, big data and AI platforms, Infrastructure as Code (IaC) tools like Terraform or Azure Resource Manager, databricks, Fabric for data plaforms
Proficiency in handling and integrating SaaS-based AI solutions and managing interoperability within a complex tech landscape
Knowledge of Event-Driven and Microservices Architectures to support real-time data processing and AI interactions
Strong communicator, able to convey complex technical concepts to non-technical stakeholders and influence strategic decisions
A leader with a collaborative mindset, capable of driving cross-functional initiatives and ensuring alignment with Pandora’s AI vision

Job Responsibility

Strategic Planning & Industry Alignment: Stay abreast of AI/ML industry trends, including advances in LLMs, advances in Generative AI, multi-agentic solutions, Digital Twins, chatbot capabilities, hallucination handling, and SaaS-based AI, translating these trends into Pandora’s AI roadmap
Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with business objectives and engineering standards. Collaborate with various teams to design AI and machine learning models that enhance digital ecosystem across the value chain: from intelligent manufacturing through to omnichannel personalisation
Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions. Guide build vs. buy decisions
Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations. Champion data governance and ethical AI practices, ensuring solutions are compliant, transparent, and aligned with industry standards
Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions
Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments
Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews. Dedicate approximately 15% of time to hands-on coding for prototyping and PoCs

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

New

Üzletágvezető

Our Partner is a siginificant player in food production with strong internationa...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

February 27, 2026

Requirements

Several years of proven experience in the food production industry, preferably in the bakery market
Strong commercial and strategic mindset with a track record of achieving sales targets
Experience in managing customer accounts
Leadership experience, including recruiting and developing sales teams
Excellent organizational and communication skills
Ability to coordinate cross-functional projects with international teams
Fluency in English and Hungarian
Willingness to travel nationally and internationally as required

Job Responsibility

Develop and execute sales strategies in the food service
Manage and expand relationships with current distributors and key end customers
Identify and acquire new customers within the artisanal production sector
Organize and conduct sales trainings for internal and external sales teams
Oversee technological implementation projects at clients’ production sites
Recruit, lead, and develop the national sales team
Organize and represent the company at local and international trade fairs and industry events
Prepare regular sales reports, forecasts, market analyses, and business plans
Develop and manage budgets, pricing strategies, and commercial agreements with distributors and key clients
Ensure achievement of commercial targets and KPIs

What we offer

base salary
cafetria
comapny car
bonus

Fulltime

New

Product Manager – Business Banking

A Tyfone Product Manager, specializing in Business Banking, will be working on c...

Location

United States

Salary:

Not provided

Tyfone

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering fields
Business master’s degree preferred
Three to five years’ experience, preferably in Banking / Finance / SaaS / mobile related domains
Experience in B2B2B Fintech space in the US is preferred but Europe/Asia could work
Experience with strategic planning and product management fundamentals like developing use cases, flowcharts, and user journeys, with an emphasis on B2B workflows and corporate client lifecycle
Proficiency in using LLM-based AI tools across all aspects of product work is non-negotiable
Strong bias towards action and outcomes
Ability to clearly communicate in both verbal and written forms in a professional manner is essential
Experience using documentation and data analysis tools
Understanding engineering methodologies and processes like Agile development and release management

Job Responsibility

Carry out B2B market research to establish a competitive landscape and market definition within the Commercial and SMB banking space using automated workflows of custom AI agents
Research potential product features in terms of usage, best practices, corporate regulatory compliance (e.g., AML, KYC for businesses), financial crime/fraud potential specific to commercial transactions, and general money movement practices followed by accounts and financial controllers in the US
Research and evaluate potential partner integrations focusing on B2B systems (e.g., ERP, accounting software, payment aggregators) for differentiation, customer experience, revenue potential, and speed-to-market by keeping a close eye on the evolving B2B Fintech space
Develop rationale, value definition, and differentiation for product features focussing on optimizing business client cash flow, treasury, or payment operations
Drive product strategic planning, backlog grooming, and roadmap definition
Peruse the final product, by being an internal customer to the engineering team, essentially performing Internal User Acceptance Testing and feature sign-off
Manage the product lifecycle from market/customer requirements to tactical activities leading to general availability, handing off delivery and support
Launch planning and Go-to-market strategy support
Drive product development across development teams (primarily Customer Support / Sales Development/Engineering and Quality Assurance) through problem definition, requirements clarifications and finalization, scope definition, and co-ordination between teams
Achieve customer discovery using rapid prototyping techniques powered by Generative AI and vibe coding tools

New

Product Manager – Digital Banking

A Tyfone Product Manager, specializing in Digital Banking, will be working on cu...

Location

United States

Salary:

Not provided

Tyfone

Expiration Date

Until further notice

Requirements

Bachelor’s degree in engineering fields
Business master’s degree preferred
Three to five years’ experience, preferably in Banking / Finance / SaaS / mobile related domains
Experience in B2B2C Fintech space in the US is preferred but Europe/Asia could work
Experience with strategic planning and product management fundamentals like developing use cases, flowcharts, and user journeys, with an emphasis on digital banking workflows and client lifecycle
Proficiency in using LLM-based AI tools across all aspects of product work is non-negotiable
Strong bias towards action and outcomes
Ability to clearly communicate professionally in verbal and written forms is essential
Experience using documentation and data analysis tools
A deep understanding of system design principles

Job Responsibility

Carry out market research to establish a competitive landscape and market definition within the digital banking space using automated workflows of custom AI agents
Research potential product features in terms of usage, best practices, corporate regulatory compliance (e.g., AML, KYC), financial crime/fraud potential specific to commercial transactions, and general money movement practices followed by accounts and financial controllers in the US
Research and evaluate potential partner integrations focusing on relevant ecosystems (e.g., core banking, payment processors, PFM tools) for differentiation, customer experience, revenue potential, and speed-to-market
Develop rationale, value definition, and differentiation for product features focussing on optimizing client financial health, convenience, and security
Drive product strategic planning, backlog grooming, and roadmap definition
Peruse the final product, by being an internal customer to the engineering team, essentially performing Internal User Acceptance Testing and feature sign-off
Manage the product lifecycle from market/customer requirements to tactical activities leading to general availability, handing off delivery and support
Launch planning and Go-to-market strategy support
Drive product development across development teams through problem definition, requirements clarifications and finalization, scope definition, and co-ordination between teams
Achieve customer discovery using rapid prototyping techniques powered by Generative AI and vibe coding tools

New

Pe specialist

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

January 17, 2026

Requirements

Minimum 2+ years of hands-on experience in Payer Enrollment—Commercial or Medicaid, depending on the requirement
Deep understanding of payer portals, CAQH, NPPES, PECOS, Medicaid enrollment processes, and revalidation cycles
Proven ability to handle multiple providers and payers simultaneously with high accuracy
Strong analytical skills to diagnose enrollment issues and execute root-cause corrections
Clear and professional communication skills, both verbal and written
Ability to work in a high-volume, deadline-driven operational environment

Job Responsibility

End-to-End Enrollment Management
Manage the full-cycle payer enrollment and revalidation process for healthcare providers (Physicians, NPs, PAs, RNs, CRNAs, etc.)
Prepare, review, and submit enrollment applications across Commercial and/or Medicaid payers
Track application progress, follow up with payers, and maintain accurate, up-to-date documentation
Compliance & Regulatory Adherence
Ensure compliance with federal, state, and payer-specific policies and guidelines
Stay updated on changes in payer rules, Medicaid regulations, CAQH requirements, and credentialing standards
Conduct data quality checks prior to submission to minimize risks of rejections or delays
Issue Resolution & Escalations
Investigate and resolve complex enrollment issues—rejections, NPI/taxonomy discrepancies, retro-effective enrollment, and portal conflicts

Fabrication Value Stream Integration Lead

Boeing

Location:
United States , Portland

Category:
-

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 26, 2025

Expiration:
January 09, 2026

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