Director (Strategy and Transformation) Data Scientist, Agentic AI

Title: Director (Strategy and Transformation) Sr. Data Scientist, Agentic AI Location: Boston, Mass, NYC, Holmdel, NJ, Bethlehem, PA Position Type: Full Time Compensation Pay Range:$160,000-$185,000 Per Year Description This full-time position is based in the Northeastern United States, requiring a hybrid work model. The role involves leading strategic and transformative initiatives in data science, focusing on advanced AI and machine learning methodologies. The candidate will utilize their e

{"description": " Company Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a b

About US: LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented a

Job Description As a VP AI/ML Data Scientist in CIB's Global Banking & Payments group, you will translate complex banking challenges into scalable, production-grade AI/ML and LLM solutions. Partnering with stakeholders across Global Banking & Payments, front office, Product, and Client Onboarding & Service (COS), you'll build prototypes and deliver governed models and intelligent agents that improve origination velocity, revenue quality, client engagement, operational efficiency, and risk reduc