Job Description: Transformation HeadPosition: Senior Platform Leader – AI Training Data Services Location: PAN IndiaLevel : Senior Director/ Director Experience Level: 20+ years in Data, AI, and Platform EngineeringRole OverviewWe 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. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.