Senior Data AI Developer

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers' success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at www.howmet.com/esg-report . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .

Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comEducation & Experience

• Bachelor's degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field.
• 5 years of experience designing and developing enterprise data, analytics, or BI solutions.
• 3 years of hands-on experience developing Power BI enterprise reporting solutions.
• Experience in design and development of data integration, ETL/ELT, and data warehousing
• Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms.
• Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams.

Technical Skills

Data & Analytics

• Data Modeling
• Data Warehousing
• Data Lakehouse
• ETL/ELT
• SSIS, REST API's
• Azure Data Factory
• Azure Data Lake Storage (ADLS)
• Azure DevOps, Git, CI/CD
• Power BI
• DAX
• Power Query
• Semantic Models
• DevOps, Git, CI/CD

AI & Machine Learning

• Python
• scikit-learn
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• ML frameworks (PyTorch, TensorFlow, scikit-learn)

Benefits/Salary:

The position includes competitive wages and a comprehensive benefits package available day one of hire, including health insurance (medical, dental, vision), excellent 401k matching program, paid holidays and vacation. Howmet Aerospace curates a strong working environment through opportunities for career progression, community engagement activities, and flexible schedules contingent upon role and location. The salary range for this position is $95-$120kWe are seeking a Senior Data & AI Developer to design, build, and support enterprise data, analytics, and AI solutions. This role will develop scalable data pipelines, enterprise data models, Power BI solutions, and AI-enabled applications that transform business data into actionable insights and automation opportunities.

The ideal candidate combines strong data engineering and analytics skills with hands-on AI experience to identify business opportunities, develop proofs-of-concept, and deliver solutions using modern data and AI technologies.

Key Responsibilities

Data & Analytics

• Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments.
• Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies.
• Design scalable data models and integration patterns to support enterprise analytics and AI initiatives.
• Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems.
• Build and maintain data integration pipelines for ERP, CRM, PLM, MES, and other enterprise applications.
• Implement data validation, monitoring, quality controls, and data governance best practices.
• Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
• Develop reusable semantic models, datasets, and data products that enable self-service analytics.
• Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance.
• Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions.
• Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions.
• Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.

AI & Automation

• Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.
• Partner with business stakeholders to identify, prioritize, and deliver AI use cases that improve productivity, decision-making, and operational efficiency.
• Integrate AI capabilities with enterprise applications and data platforms using APIs and Python.
• Create AI proofs-of-concept and transition successful solutions into production.
• Develop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Design and implement AI agents and agentic workflows where appropriate.
• Establish best practices for AI security, governance, and responsible AI usage.