Howmet Aerospace

Design and build scalable enterprise data, analytics, and AI solutions including data pipelines and AI-enabled applications. | Bachelor's degree and 5+ years experience in enterprise data or analytics solutions with proficiency in Power BI, Azure, AI development technologies. | RESPONSIBILITIES We 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. QUALIFICATIONS Education & 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-$120k