Job Description: Transformation Head
Position: Senior Platform Leader – AI Training Data Services
Location: PAN India
Level : Senior Director/ Director
Experience Level: 20+ years in Data, AI, and Platform Engineering
Role Overview
We are seeking a visionary and technically strong leader to spearhead the design and development of Cognizant’s AI Training Data Service (AITDS) offering. This role requires deep expertise in data engineering, AI/ML lifecycle, and platform architecture, combined with the ability to drive innovation and new thinking in building scalable, domain-rich solutions for enterprise AI.
Key Responsibilities
- Platform Strategy & Architecture
- Define and own the architecture for the AITDS platform, ensuring scalability, security, and interoperability across cloud ecosystems (AWS, Azure, GCP).
- Drive innovation in data preparation, annotation, validation, and continuous learning workflows.
- Technical Leadership
- Guide engineering teams on building modular components (data ingestion, profiling, annotation, governance, deployment).
- Evaluate and integrate emerging technologies for AI data readiness.
- AI & Data Expertise
- Design frameworks for high-quality training data generation for AI/ML models.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Product & Partner Strategy
- Identify new products, tools, and strategic partners to accelerate platform development.
- Make informed build vs. buy decisions based on technical, financial, and strategic considerations.
- Collaboration & Thought Leadership
- Partner with product managers, data scientists, and client teams to align platform capabilities with business needs.
- Represent Cognizant in industry forums and contribute to thought leadership in AI data services.
- Delivery & Operational Excellence
- Establish best practices for platform deployment, monitoring, and continuous improvement.
Required Skills & Experience
- Data Expertise: Strong background in data engineering, data quality, and governance.
- AI/ML Knowledge: Hands-on experience with AI/ML lifecycle, model training, and data annotation strategies.
- Platform Engineering: Proven track record in designing and building large-scale platforms (preferably SaaS or PaaS).
- Cloud & DevOps: Expertise in AWS, Azure, GCP; containerization (Docker/Kubernetes); CI/CD pipelines.
- Leadership: Ability to lead cross-functional teams and drive strategic initiatives.
- Innovation Mindset: Strong ability to conceptualize and implement new ideas for AI data readiness.
Preferred Qualifications
- Experience with AI data platforms, MLOps, and data labeling tools.
- Knowledge of domain-specific data challenges (e.g., BFSI, healthcare, telecom).
- Advanced degree in Computer Science, Data Science, or related field.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @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.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
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.
