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Job Description & How to Apply Below
Our client is a globally respected, technology-first organization at the forefront of data engineering, AI, and next-generation supply chain solutions. With advanced delivery centers across the United States and India, the firm partners with leading enterprises to architect future-ready platforms that power intelligent decision-making, operational excellence, and scalable growth.
Known for solving complex, high-impact business problems, the organization combines deep engineering expertise with cutting-edge innovation across Data, AI, and Modern Software Engineering.
Role Overview :
The Data Science Practice Head is a strategic leadership role responsible for building and scaling a world-class Data Science function. This leader will define the enterprise AI vision, drive business impact through advanced analytics, and deliver production-grade, scalable AI/ML solutions for global clients.
This role combines thought leadership, executive stakeholder partnership, and delivery excellence, and is ideal for a leader who has built practices, influenced C-suite decisions, and translated data science into measurable business value.
Key Responsibilities:
Leadership & Vision
Define and own the Data Science & AI roadmap, aligned with enterprise and client growth objectives
Build, mentor, and scale high-performing global Data Science teams
Establish best-in-class delivery standards, governance frameworks, and operating models
Delivery Excellence
Own end-to-end delivery of Data Science, Machine Learning, and Advanced Analytics programs
Oversee the full model lifecycle—design, validation, deployment, monitoring, and optimization
Ensure solutions are scalable, secure, explainable, compliant, and enterprise-ready
Executive Stakeholder Partnership
Act as a trusted advisor to CXOs, Product Leaders, and Engineering Heads
Translate complex business challenges into data-driven strategies with clear ROI
Support pre-sales, executive presentations, proposals, and solution architecture
Innovation & IP Creation
Drive innovation across AI/ML, GenAI, LLMs, NLP, Computer Vision, and Predictive Analytics
Evaluate and adopt emerging platforms, tools, and methodologies
Build reusable accelerators, frameworks, and intellectual property to strengthen market differentiation
Governance & Quality
Ensure adherence to ethical AI, model governance, regulatory compliance, and data privacy
Define success metrics, KPIs, and continuous improvement mechanisms across the practice
Experience & Expertise
12+ years of experience in Data Science, Analytics, or AI
5+ years in a senior leadership or practice-building role
Deep expertise in Machine Learning, Statistical Modeling, and Advanced Analytics
Hands-on experience with Python/R, SQL, and ML frameworks such as Tensor Flow, PyTorch, Scikit-learn
Proven track record of deploying models on AWS, Azure, or GCP
Strong understanding of MLOps, model lifecycle management, and enterprise production systems
Exceptional executive communication and stakeholder management skills
Preferred Experience
Exposure to Generative AI / LLM ecosystems (OpenAI, Azure OpenAI, Lang Chain, etc.)
Domain experience across Retail, BFSI, Supply Chain, Healthcare, or Manufacturing
Experience building Data Science Centers of Excellence (CoEs) or practices from the ground up
Education
Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related discipline
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