Pittsburgh, PA30+ days ago
The role requires proven thought leadership, strong networking and interpersonal skills, political and emotional intelligence, excellent written communication, and the ability to understand and anticipate emerging business needs, data requirements, AI capabilities, and technology trends-while partnering with risk and governance teams to promote responsible AI (e.g., model risk management, fairness, explainability, privacy, and security). Provides architectural leadership for data platforms and data ecosystems, including data warehousing, data lakes/lakehouses, analytical platforms, streaming architectures, and cloud based data services-enabling AI/ML platforms (e.g., feature stores, model training and inference services) where appropriate.