Strategic Projects Lead, Managed Services
New
P
ProlificAI Data Infrastructure
Location: MexicoFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 3–6+ years
- Required Skills
- Project ManagementStakeholder managementBudget managementClient relationship management
Requirements
- 3–6+ years of experience managing complex client projects or programmes, ideally within AI/ML, human data, data services or another technical environment.
- A solid understanding of AI technologies and the AI/ML development lifecycle, including familiarity with areas such as data collection, annotation, evaluation or validation.
- Strong client-facing skills, with experience building trusted relationships and communicating effectively with both technical and non-technical stakeholders.
- Experience taking complex or ambiguous client requirements and turning them into clear, executable plans and successful outcomes.
- A hands-on approach to delivery and problem-solving, with the ability to get into the detail, identify what’s going wrong and drive solutions forward.
- Strong analytical and commercial judgement, with experience managing project KPIs, budgets, profitability, quality and delivery performance.
- Proven ability to lead across teams, align different stakeholders and operate effectively in a fast-moving environment where priorities and requirements can change.
Responsibilities
- Own the end-to-end delivery of complex AI projects, from understanding client requirements and shaping the delivery approach through to execution and completion.
- Act as the primary point of contact for your clients, building strong relationships and providing clear, consistent communication throughout the project lifecycle.
- Work with clients to translate complex or evolving requirements into clear project scopes, delivery plans, success criteria and practical solutions.
- Partner closely with Sales, Operations, Product and Engineering to coordinate resources, solve delivery challenges and ensure projects meet both client and Prolific goals.
- Stay close to project execution, identifying risks or issues early and working through problems directly to keep delivery on track.
- Own and track key delivery metrics including quality, timelines, budgets and profitability, using project data to identify opportunities to improve outcomes.
- Help improve the way we deliver AI projects, developing more effective and scalable processes, tools and ways of working as our client base grows.
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