Take ultimate ownership for AI program strategy, roadmaps, and success metrics, ensuring they are fully aligned with business goals and senior leadership expectations;
Lead end-to-end delivery of multiple complex AI initiatives (LLM-powered products, automation, analytics), ensuring all projects meet scope, budget, and quality standards;
Translate ambiguous business problems into clear technical workstreams and architectures, collaborating directly with data scientists, ML engineers, and software engineers;
Establish and own program governance, including operating rhythms, steering committees, risk/issue management, and high-level executive communications;
Drive solution design reviews and provide technical oversight, challenging approaches where needed to ensure the robustness, scalability, and security of AI solutions;
Embed responsible and ethical AI practices into program design, focusing on data privacy, bias mitigation, model monitoring, and human-in-the-loop workflows;
Manage vendor and partner relationships (cloud, model providers, integrators), including technical evaluations, contracts input, and performance management;
Lead and mentor cross-functional teams (PMs, tech leads, data scientists), fostering a high-performance delivery culture and driving continuous process improvement.
Requirements
10+ years in technology consulting and delivery, with significant experience at a Big 3 or top-tier firm in technology, digital, or data
5+ years of program or portfolio management, leading large, multi-disciplinary tech programs with multi-million dollar budgets
Proven track record of delivering AI, data, or analytics programs (LLM/ML products, intelligent automation) into production
Hands-on technical background in Data Science or Software Engineering (Python, Java, etc.), with the ability to read code and support technical decision-making
Demonstrated ability to influence and communicate effectively with C-level stakeholders and non-technical audiences
Proactiveness in suggesting process changes and a deep understanding of the LLM life cycle.
Tech Stack
Cloud
Java
Python
Benefits
Competitive compensation package including base salary, bonus, and ESOP
Paid PTO and benefits will vary depending on location