Program Director: Coding Data
New
Netherlands, Serbia, United Kingdom, United StatesFull-TimeSenior
SalaryCompetitive compensation package including base salary, bonus, and ESOP
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Job Details
- Experience
- 10+ years in technology consulting and delivery; 5+ years of program or portfolio management
- Required Skills
- PythonArtificial IntelligenceJavaMachine LearningStrategyData scienceSoftware EngineeringLLM
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.).
- 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.
- Deep understanding of the LLM life cycle.
Responsibilities
- 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.
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