
Program Director β Coding Data
Posted Jun 27

Posted Jun 27
This is a fully remote position, open to applicants in United States.
β’ Assume complete responsibility for the strategy, roadmaps, and success metrics of the AI program, ensuring full alignment with business objectives and senior leadership's expectations;
β’ Oversee the comprehensive delivery of various intricate AI initiatives (LLM-powered products, automation, analytics), guaranteeing that all projects adhere to scope, budget, and quality benchmarks;
β’ Convert vague business challenges into well-defined technical workstreams and architectures, working closely with data scientists, ML engineers, and software developers;
β’ Establish and manage program governance, encompassing operating rhythms, steering committees, risk/issue management, and high-level communications with executives;
β’ Facilitate solution design reviews and offer technical oversight, questioning methodologies as necessary to ensure the robustness, scalability, and security of AI solutions;
β’ Incorporate responsible and ethical AI principles into program design, emphasizing data privacy, bias reduction, model monitoring, and human-in-the-loop workflows;
β’ Manage relationships with vendors and partners (cloud services, model providers, integrators), including technical assessments, contract contributions, and performance oversight;
β’ Guide and mentor cross-functional teams (PMs, technical leads, data scientists), promoting a culture of high-performance delivery and driving ongoing process enhancements.
β’ 10+ years of experience in technology consulting and delivery, with substantial expertise at a Big 3 or leading firm in technology, digital, or data;
β’ 5+ years in program or portfolio management, directing large, multi-disciplinary tech programs with budgets in the multi-million dollar range;
β’ Proven experience in successfully delivering AI, data, or analytics programs (LLM/ML products, intelligent automation) into production environments;
β’ Practical technical background in Data Science or Software Engineering (Python, Java, etc.), with the capability to read code and assist in technical decision-making;
β’ Demonstrated ability to influence and communicate effectively with C-level executives and non-technical audiences;
β’ Proactive in recommending process improvements and possessing a thorough understanding of the LLM life cycle.
β’ Competitive compensation package that includes base salary, bonus, and ESOP;
β’ Paid PTO, with benefits varying by location;
β’ IT setup and home office allowances.
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