Senior Director – Business Insights & Analytics, AI and ML Operations Engineering

Remote, USA Full-time
Job Description: • Collaborate with counterparts across BI&A to develop and execute a unified enterprise AI strategy aligned with business objectives • Champion responsible AI practices, ensuring compliance with governance, security, and ethical standards • Develop deep understanding of business goals and challenges, and translate into clear work streams with appropriate methodology for execution • Ensure compliance with data privacy regulations, internal security standards, and best practices • Manage a wide variety of senior stakeholders and junior colleagues as part of a highly matrixed global organization • Efficiently lead AI and ML team in US in partnership with India-based team • Collaborate with BI&A and GCO teams to integrate AI into core business processes • Lead design and implementation of AI solutions, including generative AI and intelligent automation • Partner with data engineering and product teams to ensure seamless integration of AI solutions • Oversee end-to-end ML lifecycle management and provide observability frameworks • Lead team in building scalable ML pipelines and ensure modular, production-ready code Requirements: • PhD or master's in computer science, Statistics, Econometrics, Operations Research, Industrial Engineering, or field of experience of relevant experience leading an advanced analytical function • Qualified candidates must be legally authorized to be employed in the United States • Strong business acumen and ability to think strategically in an ambiguous environment • Demonstrated ability to develop and deploy AI solutions across enterprise environments • Strong knowledge of cloud-native architectures, ML frameworks, ML platform engineering, and orchestration tools • Proficient in at least one programming package (Python preferred) • Experience using common data visualization platforms (e.g., Tableau, PowerBI) and visualization packages and frameworks (e.g., Seaborn, Plotly, Flask, RShiny) • Broad awareness and working knowledge of advanced analytics areas such as ML, NLP, optimization, and Predictive Analytics • PhD in Computer Science, Statistics, Econometrics, Operations Research, Industrial Engineering, or closely related with 3+ years of experience or Master’s degree in those fields with 6+ years of relevant experience leading an advanced analytical function • Proven ability to rally resources to achieve project and business results. • Proficiency in Excel, Word, and PowerPoint Benefits: • Eligibility for a company bonus (depending, in part, on company and individual performance) • Comprehensive benefit program including health insurance, 401(k), pension, vacation benefits, and flexible spending accounts • Life insurance and death benefits • Employee assistance program, fitness benefits, and employee clubs and activities Apply tot his job
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