HR AI Solutions and Governance Lead
for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)
2. Use - for lists,
for prose
3. Do NOT repeat job title as heading
4. Do NOT put Job ID/requisition numbers as headings
5. Preserve ALL substantive information
6. Remove boilerplate (cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions)
7. Include section ONLY when posting has real, specific content - never emit heading followed by filler/placeholder text
8. Never create Pay/Schedule/Benefits sections unless posting actually states them
9. Prefer few substantive sections over many thin ones
10. Output ONLY HTML fragment - no /, no markdown code fences
Let me analyze the job posting content:
The posting has:
- Company intro (Airbus Commercial looking for HR AI Solutions and Governance Lead)
- "Meet the Team" section
- "Your Working Environment" section
- "How We Care for You" with Financial Rewards, Work/Life Balance, Health & Welfare, Individual Development
- "Your Challenges" - list of responsibilities
- "Your Boarding Pass" - requirements/qualifications
- "Knowledge, Skills, Demonstrated Capabilities" - skills
- "Physical Requirements" - detailed physical requirements
- Salary range: 120,000USD - 135000USD
- Benefits list
- Various metadata: Company, Employment Type, Experience Level, Remote Type, Job Family
- Lots of legal/EEO boilerplate at the end
I need to structure this into semantic HTML sections. Let me identify the substantive sections:
1. About the role (intro paragraph)
2. Team/Environment (Meet the Team + Working Environment)
3. Responsibilities (Your Challenges)
4. Requirements/Qualifications (Your Boarding Pass)
5. Skills (Knowledge, Skills, Demonstrated Capabilities)
6. Physical Requirements
7. Pay (salary range)
8. Benefits (benefits list)
9. Schedule/Work Arrangement (Physical Requirements mentions Onsite 60% Remote 40%, and Remote Type: Flexible)
I should combine Meet the Team and Working Environment into one section maybe "Team and Environment" or keep separate. The rules say use h3 for section headings like "About the role", "Responsibilities", "Requirements", "Qualifications", "Skills", "Benefits", "Pay", "Schedule". I'll map accordingly.
Let me draft the HTML:
- Start with a paragraph for the role overview (About the role)
- Then Team and Environment section (h3)
- Then Responsibilities (h3) with ul from Your Challenges
- Then Requirements (h3) with ul from Your Boarding Pass
- Then Skills (h3) with ul from Knowledge, Skills, Demonstrated Capabilities
- Then Physical Requirements (h3) - this is detailed, should include
- Then Pay (h3) with salary range
- Then Benefits (h3) with ul
- Then Schedule (h3) with onsite/remote info
I need to remove all the legal boilerplate at the end (EEO, visa sponsorship, at-will employment, etc.) and application instructions ("Take your career to a new level and apply online now!", "A full job description will be provided...").
Also remove the initial accessibility/accommodation notices and "Notice: Know Your Rights" etc.
The "How We Care for You" section contains benefits info but the benefits are also listed later in a more concise list. I'll use the later list for Benefits section, but maybe include the "How We Care for You" as part of Benefits or Team/Environment? The rules say include section only when real specific content. The "How We Care for You" has Financial Rewards, Work/Life Balance, Health & Welfare, Individual Development - that's substantive. But the later benefits list is more specific. I'll include both maybe in Benefits section.
Let me structure:
About the role
Airbus Commercial is looking for an HR AI Solutions and Governance Lead to join our HR Digital team in Herndon, Virginia. As an AI Solutions and Governance Lead for Airbus in North America, you will lead the advancement of next-generation HR automation and technology. In this senior technical position, you will play a critical role in designing and governing state-of-the-art AI solutions that transform our human resources operations. Key responsibilities include overseeing the end-to-end architecture of HR agent workflows, implementing robust AI model governance frameworks, and upholding ethical standards and compliance across all HR AI initiatives. Working alongside global and regional teams across HR, Digital, Audit, and Legal, you will connect overarching HR strategies with technical execution to drive enterprise innovation. Additionally, you will safeguard data integrity and ethical compliance throughout automated processes, leveraging modern AI tools to optimize compliance operations.
Team and environment
Working in our Human Resources department, it's our mission to help support Airbus' greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.
The Washington, D.C. metro area is home to multiple Airbus offices: In our nation's capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters - located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!
Responsibilities
- Design and implement complex HR agent workflows for tasks such as policy retrieval (RAG), onboarding triage, and automated compliance reporting.
- Lead automation initiatives across all HR functions in North America, identifying opportunities to enhance efficiency and effectiveness through AI.
- Develop advanced prompt architectures and orchestrate tool-calling with key HR systems like Workday and various Applicant Tracking Systems (ATS).
- Lead initiatives to audit AI models for bias and ensure compliance with regulatory standards, including EEOC guidelines and the EU AI Act.
- Establish and enforce stringent data privacy protocols for worker data, safeguarding Personal Identifiable Information (PII) and Protected Health Information (PHI).
- Define and implement comprehensive model governance guardrails, overseeing the entire lifecycle of AI solutions in HR.
- Design and implement dedicated AI agents aimed at automating complex regulatory reporting and compliance operations.
- Establish robust governance, monitoring, and validation frameworks for automated HR reporting models and agentic decision workflows.
- Secure underlying data foundations for compliance operations, including data tagging, data catalogues, line-of-sight auditing, and data governance.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or another quantitative-focused field, or an equivalent combination of industry-related professional experience and education.
- A minimum of 8 years of professional experience in a technical role, preferably within data science, machine learning, or a related field.
- A minimum of 4 years of experience in statistical analysis and classical machine learning (ML).
- A minimum of 2 years of experience focused on model governance, AI ethics, and data privacy.
- At least 2 years of development experience with Generative AI (GenAI), including the design of agentic workflows and prompt engineering.
- Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g., Vertex AI, AutoML, and AI Infrastructure) and data engineering (e.g., S3, Data Factory, BigQuery).
Skills
- Expertise in designing end-to-end AI/ML solutions, from concept to deployment and governance.
- Strong programming skills in Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, LangChain, Scikit-learn).
- Demonstrated experience with AI governance principles and their practical application in a corporate environment.
- Deep understanding of data privacy regulations (like GDPR) and ethical AI frameworks.
- Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS, including services related to AI and machine learning (e.g., Vertex AI, Bedrock).
- Proven ability to communicate complex technical and governance concepts to non-technical stakeholders.
- Knowledge of ETL processes and data engineering tools (e.g., PySpark, Airflow, Databricks) is highly beneficial.
- Exceptional attention to detail with strong communication, presentation, and time management skills.
Physical requirements
Onsite: 60% Remote: 40%
- Vision: Daily able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings.
- Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.
- Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications.
- Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts.
- Carrying: Several times a week able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
- Lifting: Several times a week able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
- Pushing / Pulling: Several times a week able to push and pull small office furniture and some equipment and tools.
- Sitting: Daily able to sit for long periods of time in meetings, working on computer.
- Squatting / Kneeling: Several times a month able to squat or kneel to retrieve or replace items stored on low shelving.
- Standing: Daily able to stand for discussions in offices or on production floor.
- Travel: Rarely able to travel independently and at short notice.
- Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces.
- Appropriate hearing/eye protection may also be required when visiting the shop floor.
Pay
Salary range based on the required profile: 120,000USD - 135,000USD. Actual minimum and maximum may vary based on geographic differential and location of candidate at offer. Individual pay is based on skills, experience, and other relevant factors.
Benefits
Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (ESOP).
Work/Life Balance: Paid time off including personal time, holidays and a generous paid parental leave program.
Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (EAP) and other supplemental benefit coverages.
Individual Development: Upsk
for prose 3. Do NOT repeat job title as heading 4. Do NOT put Job ID/requisition numbers as headings 5. Preserve ALL substantive information 6. Remove boilerplate (cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions) 7. Include section ONLY when posting has real, specific content - never emit heading followed by filler/placeholder text 8. Never create Pay/Schedule/Benefits sections unless posting actually states them 9. Prefer few substantive sections over many thin ones 10. Output ONLY HTML fragment - no /, no markdown code fences Let me analyze the job posting content: The posting has: - Company intro (Airbus Commercial looking for HR AI Solutions and Governance Lead) - "Meet the Team" section - "Your Working Environment" section - "How We Care for You" with Financial Rewards, Work/Life Balance, Health & Welfare, Individual Development - "Your Challenges" - list of responsibilities - "Your Boarding Pass" - requirements/qualifications - "Knowledge, Skills, Demonstrated Capabilities" - skills - "Physical Requirements" - detailed physical requirements - Salary range: 120,000USD - 135000USD - Benefits list - Various metadata: Company, Employment Type, Experience Level, Remote Type, Job Family - Lots of legal/EEO boilerplate at the end I need to structure this into semantic HTML sections. Let me identify the substantive sections: 1. About the role (intro paragraph) 2. Team/Environment (Meet the Team + Working Environment) 3. Responsibilities (Your Challenges) 4. Requirements/Qualifications (Your Boarding Pass) 5. Skills (Knowledge, Skills, Demonstrated Capabilities) 6. Physical Requirements 7. Pay (salary range) 8. Benefits (benefits list) 9. Schedule/Work Arrangement (Physical Requirements mentions Onsite 60% Remote 40%, and Remote Type: Flexible) I should combine Meet the Team and Working Environment into one section maybe "Team and Environment" or keep separate. The rules say use h3 for section headings like "About the role", "Responsibilities", "Requirements", "Qualifications", "Skills", "Benefits", "Pay", "Schedule". I'll map accordingly. Let me draft the HTML: - Start with a paragraph for the role overview (About the role) - Then Team and Environment section (h3) - Then Responsibilities (h3) with ul from Your Challenges - Then Requirements (h3) with ul from Your Boarding Pass - Then Skills (h3) with ul from Knowledge, Skills, Demonstrated Capabilities - Then Physical Requirements (h3) - this is detailed, should include - Then Pay (h3) with salary range - Then Benefits (h3) with ul - Then Schedule (h3) with onsite/remote info I need to remove all the legal boilerplate at the end (EEO, visa sponsorship, at-will employment, etc.) and application instructions ("Take your career to a new level and apply online now!", "A full job description will be provided..."). Also remove the initial accessibility/accommodation notices and "Notice: Know Your Rights" etc. The "How We Care for You" section contains benefits info but the benefits are also listed later in a more concise list. I'll use the later list for Benefits section, but maybe include the "How We Care for You" as part of Benefits or Team/Environment? The rules say include section only when real specific content. The "How We Care for You" has Financial Rewards, Work/Life Balance, Health & Welfare, Individual Development - that's substantive. But the later benefits list is more specific. I'll include both maybe in Benefits section. Let me structure:
About the role
Airbus Commercial is looking for an HR AI Solutions and Governance Lead to join our HR Digital team in Herndon, Virginia. As an AI Solutions and Governance Lead for Airbus in North America, you will lead the advancement of next-generation HR automation and technology. In this senior technical position, you will play a critical role in designing and governing state-of-the-art AI solutions that transform our human resources operations. Key responsibilities include overseeing the end-to-end architecture of HR agent workflows, implementing robust AI model governance frameworks, and upholding ethical standards and compliance across all HR AI initiatives. Working alongside global and regional teams across HR, Digital, Audit, and Legal, you will connect overarching HR strategies with technical execution to drive enterprise innovation. Additionally, you will safeguard data integrity and ethical compliance throughout automated processes, leveraging modern AI tools to optimize compliance operations.
Team and environment
Working in our Human Resources department, it's our mission to help support Airbus' greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.
The Washington, D.C. metro area is home to multiple Airbus offices: In our nation's capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters - located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!
Responsibilities
- Design and implement complex HR agent workflows for tasks such as policy retrieval (RAG), onboarding triage, and automated compliance reporting.
- Lead automation initiatives across all HR functions in North America, identifying opportunities to enhance efficiency and effectiveness through AI.
- Develop advanced prompt architectures and orchestrate tool-calling with key HR systems like Workday and various Applicant Tracking Systems (ATS).
- Lead initiatives to audit AI models for bias and ensure compliance with regulatory standards, including EEOC guidelines and the EU AI Act.
- Establish and enforce stringent data privacy protocols for worker data, safeguarding Personal Identifiable Information (PII) and Protected Health Information (PHI).
- Define and implement comprehensive model governance guardrails, overseeing the entire lifecycle of AI solutions in HR.
- Design and implement dedicated AI agents aimed at automating complex regulatory reporting and compliance operations.
- Establish robust governance, monitoring, and validation frameworks for automated HR reporting models and agentic decision workflows.
- Secure underlying data foundations for compliance operations, including data tagging, data catalogues, line-of-sight auditing, and data governance.
Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or another quantitative-focused field, or an equivalent combination of industry-related professional experience and education.
- A minimum of 8 years of professional experience in a technical role, preferably within data science, machine learning, or a related field.
- A minimum of 4 years of experience in statistical analysis and classical machine learning (ML).
- A minimum of 2 years of experience focused on model governance, AI ethics, and data privacy.
- At least 2 years of development experience with Generative AI (GenAI), including the design of agentic workflows and prompt engineering.
- Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g., Vertex AI, AutoML, and AI Infrastructure) and data engineering (e.g., S3, Data Factory, BigQuery).
Skills
- Expertise in designing end-to-end AI/ML solutions, from concept to deployment and governance.
- Strong programming skills in Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, LangChain, Scikit-learn).
- Demonstrated experience with AI governance principles and their practical application in a corporate environment.
- Deep understanding of data privacy regulations (like GDPR) and ethical AI frameworks.
- Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS, including services related to AI and machine learning (e.g., Vertex AI, Bedrock).
- Proven ability to communicate complex technical and governance concepts to non-technical stakeholders.
- Knowledge of ETL processes and data engineering tools (e.g., PySpark, Airflow, Databricks) is highly beneficial.
- Exceptional attention to detail with strong communication, presentation, and time management skills.
Physical requirements
Onsite: 60% Remote: 40%
- Vision: Daily able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings.
- Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.
- Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications.
- Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts.
- Carrying: Several times a week able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
- Lifting: Several times a week able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs.
- Pushing / Pulling: Several times a week able to push and pull small office furniture and some equipment and tools.
- Sitting: Daily able to sit for long periods of time in meetings, working on computer.
- Squatting / Kneeling: Several times a month able to squat or kneel to retrieve or replace items stored on low shelving.
- Standing: Daily able to stand for discussions in offices or on production floor.
- Travel: Rarely able to travel independently and at short notice.
- Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces.
- Appropriate hearing/eye protection may also be required when visiting the shop floor.
Pay
Salary range based on the required profile: 120,000USD - 135,000USD. Actual minimum and maximum may vary based on geographic differential and location of candidate at offer. Individual pay is based on skills, experience, and other relevant factors.
Benefits
Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (ESOP).
Work/Life Balance: Paid time off including personal time, holidays and a generous paid parental leave program.
Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (EAP) and other supplemental benefit coverages.
Individual Development: Upsk