Director-Data Science Lead & Director Enterprise Architecture

Job Description

1. Role : Director, Data Science Lead(Chennai)2.Role : Director-Architecture Design & Engineering-Enterprise Architecture (Chennai)1. Role : Director, Data Science Lead (Chennai)# Role & Responsibilities : - Data Science Lead to play a pivotal role in building and leading a cutting-edge data science team within our global technology organization.- Responsible for setting up and scaling the team, collaborating with product teams to enable AI capabilities, and bridging competency gaps across the organization.- As the owner of the data science practice, you will oversee the end-to-end process of model evaluation, deployment, and life cycle management, while working toward offering GenAI as a service.- You will collaborate with strategic partners and SaaS vendors to create innovative, data-powered business solutions.- A visionary leader with a strategic mindset, and a deep understanding of how data science and AI can drive business transformation.- Lead a global role that spans diverse business areas, brands, and geographies, ensuring the infusion of AI, GenAI, and data science capabilities into our products and applications to drive transformative business outcomes across the organization.- Build and manage a high-performing data science team that delivers production-ready AI and GenAI solutions. - Collaborate with product and application teams to identify, validate, and implement AI use cases, ensuring seamless integration of models into our applications.- Own the strategic roadmap for advancing the analytics platform, enabling developers to experiment and deliver AI solutions with scalable, ready-to-use infrastructure. - Implement fail-safe measures such as security and cost governance, empowering teams to innovate confidently.- Lead the lifecycle management of AI and GenAI models, from evaluation and selection to deployment and monitoring. - Ensure best practices for model governance, maintenance, and performance, while facilitating the delivery of AI as a service across the organization.- Drive the development and deployment of production-ready GenAI-based solutions. Automate model deployment, monitoring, and lifecycle processes to scale AI capabilities within our products and business applications.- Collaborate with product, analytics, privacy, and compliance teams to ensure that AI and GenAI models are built successfully.# Critical Experience: 12 Yrs relevant experience with Bachelors degree in Engineering. Proven experience in a data science leadership role. Strong expertise in AI, machine learning, and GenAI models. Experience with enhancing and managing analytics platforms. Demonstrated ability to build and lead high-performing teams. Proficiency in programming languages such as Python, R, or similar. Familiarity with cloud platforms and ML frameworks. Experience in deploying and managing AI/ML models in a production environment. Understanding of legislation, regulatory compliance and how it impacts data management (GDPR, GxP, FDA, etc.) Agile and Waterfall methodologies. Ability to assign, prioritize, and coordinate work of team members globally. Personally invested in continuous improvement and innovation.2. Role : Director-ADE(Architecture Design & Engg)-Enterprise Architecture (Chennai)# Purpose : Enterprise Architect who will Lead to help support the modernization and transformation initiative of our Product journey. An Enterprise Architect with Integration specialization plays a critical role in ensuring that different software systems, applications, and databases within an organization can communicate, share data, and operate seamlessly together# Experience : 15 plus years of experience on executing and implementing enterprise software projects. 3-5 years of experience as Enterprise Integration Architect Strong foundational experience in Integration platforms solutions enablement. Experience implementing and supporting an enterprise-wide customer and employee enabling systems. Strong design, architecture, and problem-solving skills with knowledge and experience in building solutions. Strong knowledge on Azure and Boomi integration solutions requires good understanding of product and change management to drive the technology modernization agenda. Ability to deliver innovative improvement plans which focuses on maturing the ADE Adoption and Maturity model.

Keyskills :
product designmachine learningenterprise softwareartificial intelligencecloud computingdata scienceproduct developmentproduction engineeringproduct management