Data & Eval Operations Program Manager
About The Position
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. As the Data & Eval Operations Program Manager for our team, you will structure and implement the processes for data acquisition and eval execution for our foundation models and will develop these into comprehensive programs. You will work closely with our techincal team, including research scientists, research engineers, and software engineers, as well as with external data vendor partners as our key interface. These programs will have a massive impact on the continuous improvement of the models we develop, meaning that this is a critical role to the ultimate success of the organization. You will be expected to stand up and manage these programs autonomously, and tailor them over time to the changing needs of the team.
Requirements
- A bachelor's degree in computer science, engineering, business, or economics.
- 5+ years of relevant industry experience, with at least 3 years in program management with technical teams, including working directly with researchers and engineers.
- Budget management experience, managing multi-million-dollar budgets.
- Vendor management experience, working across multiple vendors, and experience with contracts and SOWs.
- Autonomy in fully managing projects with budget, timeline, and quality components.
- You don’t need to write code or understand nuanced research but must understand relevant technical concepts.
Nice To Haves
- MBA or advanced technical degree is a plus.
- Experience working specifically with LLMs, Generative AI, or ML Infrastructure.
- Experience working with data vendors for LLM development.
- Familiarity with key LLM/agentic benchmarks, including an understanding of how LLMs, aagentic capabilties, and benchmarks are evolving over time.
Responsibilities
- Establish a complete end-to-end data operations program from scratch, to include program structure, goals, and management. You will be completely responsible for standing up and owning this program.
- Analyze and develop an understanding of the constantly evolving landscape of data offerings from new and existing vendors, and assess how this fits the evolving needs of IFM with technical leads.
- Work closely with new and existing vendors on a regular basis. You will serve as the key interface between IFM and our data vendors.
- Perform budget management and tracking, as well as performance management. You will be responsible for the full data budget and will devise a rigorous process to ensure this spend is highly effective, with all spend tied back to actual data performance.
- Work closely with cross-functional teams, including Legal and Procurement, to ensure new data partnerships and acquisitions are completed quickly and in alignment with all organizational procedures.
- Establish a complete end-to-end eval operations program from scratch, to include program structure, goals, and management. You will be completely responsible for standing up and owning this program.
- Devise a process for how our team regularly completes, documents, organizes, and reviews our evals.
- Work with technical leads to understand their evolving eval needs and adjust the eval process to meet these needs.
- Streamline the eval process and internal eval service with our engineering team and with individual eval owners to improve how evals are completed.
- Develop a sense of where our models might be lagging with respect to key evals and use this to inform strategy for the data operations program.
- Analyze and develop an understanding of the constantly evolving landscape of benchmarks that may be of interest to IFM.
Benefits
- Comprehensive medical, dental, and vision benefits
- Bonus
- 401K Plan
- Generous paid time off, sick leave and holidays
- Paid Parental Leave
- Employee Assistance Program
- Life insurance and disability
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
