Program Director – Coding Data

This is a fully remote position, open to applicants in Europe.

📋 Description

• Assume full responsibility for the strategy, roadmaps, and success metrics of the AI program, ensuring alignment with business objectives and the expectations of senior leadership;

• Oversee the comprehensive delivery of various intricate AI initiatives (including LLM-powered products, automation, and analytics), ensuring that all projects adhere to scope, budget, and quality benchmarks;

• Convert ambiguous business challenges into well-defined technical workstreams and architectures, collaborating directly with data scientists, ML engineers, and software engineers;

• Establish and maintain program governance, which includes operating rhythms, steering committees, risk and issue management, as well as high-level executive communications;

• Facilitate solution design reviews and offer technical oversight, questioning methodologies as necessary to guarantee the robustness, scalability, and security of AI solutions;

• Integrate responsible and ethical AI practices within program design, emphasizing data privacy, bias reduction, model monitoring, and human-in-the-loop workflows;

• Manage relationships with vendors and partners (including cloud services, model providers, and integrators), which involves technical assessments, input on contracts, and performance management;

• Guide and mentor cross-functional teams (such as PMs, tech leads, and data scientists), cultivating a high-performance delivery culture and promoting continuous process enhancement.

⛳️ Requirements

• 10+ years of experience in technology consulting and delivery, with substantial experience at a Big 3 or top-tier firm in technology, digital, or data;

• 5+ years in program or portfolio management, leading large, multidisciplinary tech programs with budgets in the multi-million dollar range;

• A proven history of successfully delivering AI, data, or analytics programs (such as LLM/ML products and intelligent automation) into production;

• Practical technical background in Data Science or Software Engineering (e.g., Python, Java), with the capability to read code and assist in technical decision-making;

• Demonstrated ability to influence and communicate effectively with C-level executives and non-technical audiences;

• A proactive approach to suggesting process improvements and a thorough understanding of the LLM life cycle.

🏝️ Benefits

• Competitive compensation package that includes base salary, bonuses, and ESOP;

• Paid PTO and benefits vary based on location;

• IT setup and home office allowances.