Role – Technical Program Manager (AI Training Data Services)
Level – DGM / Senior Manager
Experience – 13–18 years
Role Overview
We are seeking a Technical Program Manager with strong expertise in AI model training, data preparation, and large-scale data operations, who can drive teams, own delivery, and manage senior stakeholders effectively.
This role is critical to scaling AI Training Data Services (AITDS) programs, ensuring high-quality, production-ready datasets for enterprise AI models. The ideal candidate brings strong program leadership, the ability to orchestrate cross-functional teams (data, ML, annotation), and a proven track record of delivering complex AI/data programs end-to-end.
They should be equally comfortable driving execution on the ground and engaging client leadership, managing expectations, risks, and outcomes from design through deployment.
Key Responsibilities
1. Program Leadership & Ownership
- Lead multiple AI training data and model enablement programs across clients and domains
- Own end-to-end delivery covering data sourcing, annotation, validation, and model readiness
- Ensure alignment to quality, scalability, and cost optimization goals
2. AI Training Data Strategy & Execution
- Define and operationalize data pipelines for model training, including:
- Data collection & curation
- Annotation (manual + automated)
- Data quality validation & enrichment
- Partner with AI/ML teams to align datasets with model training objectives and evaluation metrics
- Drive adoption of human-in-the-loop workflows and feedback loops
3. Cross-Functional Orchestration
- Work closely with:
- Data scientists & ML engineers (model requirements)
- Data operations & annotation teams (execution)
- Platform/engineering teams (tooling & automation)
- Translate model requirements into data specifications and annotation guidelines
4. Data Quality & Governance
- Establish frameworks for:
- Data quality benchmarking (accuracy, consistency, bias checks)
- Annotation standards and QA processes
- Ensure compliance with data privacy, security, and regulatory requirements
5. Client & Stakeholder Management
- Act as primary interface for client leadership on AI data programs
- Provide strategic advisory on training data readiness and model performance improvement
- Manage communication, reporting, and escalations
6. Program Governance & Delivery Excellence
- Set up and run PMO structures:
- Roadmaps, milestones, and sprint cadences
- RAID management
- Executive reporting
- Drive predictable and scalable delivery models for AITDS
Required Skills & Qualifications
Core Experience
- 13–18
- years overall experience with strong program leadership
- 8+ years managing data, AI/ML, or large-scale data operations programs
- Proven experience in AI model training lifecycle with focus on data readiness
Acerca de nosotros
Cognizant (NASDAQ: CTSH) es arquitecto de soluciones de IA y proveedor de servicios tecnológicos que traduce la inversión en inteligencia artificial en valor empresarial real mediante soluciones de IA de stack completo adaptadas a cada cliente. Su profundo conocimiento de la industria, los procesos y la ingeniería le permite integrar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan un impacto real en el negocio y mantienen a las grandes empresas globales un paso adelante en un mundo en constante cambio. Para más información, visita www.cognizant.es o síguenos en @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
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Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
