Cognizant seeks a visionary and technically strong Director to spearhead the design and development of our 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 in building scalable, domain-rich solutions for enterprise AI.
What You'll Do
- 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.
- Guide engineering teams on building modular components (data ingestion, profiling, annotation, governance, deployment).
- Evaluate and integrate emerging technologies for AI data readiness.
- Design frameworks for high-quality training data generation for AI/ML models.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Identify new products, tools, and strategic partners to accelerate platform development.
- Make informed build vs. buy decisions based on technical, financial, and strategic considerations.
- 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.
- Establish best practices for platform deployment, monitoring, and continuous improvement.
What We're Looking For
- Strong background in data engineering, data quality, and governance.
- Hands-on experience with AI/ML lifecycle, model training, and data annotation strategies.
- Proven track record in designing and building large-scale platforms (preferably SaaS or PaaS).
- Expertise in AWS, Azure, GCP; containerization (Docker/Kubernetes); CI/CD pipelines.
- Ability to lead cross-functional teams and drive strategic initiatives.
- Strong ability to conceptualize and implement new ideas for AI data readiness.
Nice to Have
- 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.
Technical Stack
- AWS
- Azure
- GCP
- Docker
- Kubernetes
Work Mode
This role operates in a local-country work mode and is open to candidates across PAN India.
Cognizant is an equal opportunity employer.
