New

Lead - Business Analytics

Tata Consultancy Services
$160,700 - $220,000
United States, California, Santa Clara
Oct 29, 2026
Job Description Role: Lead - Business Analytics - Commercial, Manufacturing & Supply Chain Analytics Location: Santa Clara, CA We are seeking a Business Analytics Lead - Commercial, Manufacturing & Supply Chain Analytics for the newly formed Data & Analytics unit on the US West Coast. This senior, onsite role leads the commercial, manufacturing and supply chain Business Analytics with AI/ML capability, combining domain-led consulting with hands-on solution leadership. The lead will engage customer operations and technology leaders to prioritize high-value AI/ML use cases, architect solutions and take them from PoC through pilot to production with offshore engineering, data science and CoE teams. Key Responsibilities l Lead the commercial, manufacturing and supply chain AI/ML capability for the Data & Analytics unit, combining domain-led consulting with hands-on solution leadership. l Engage manufacturing, operations, planning, logistics, procurement and technology leaders to identify problems, assess data readiness and prioritize high-value AI/ML use cases. l Facilitate discovery and design workshops, define target architectures and convert opportunities into a practical roadmap with measurable operational outcomes. l Architect solutions for predictive maintenance, quality, yield, forecasting, inventory, production planning, logistics and supply-risk analytics based on customer priorities. l Guide data preparation, feature engineering, model development, validation, deployment, monitoring and continuous improvement. l Ensure solutions integrate securely with enterprise, manufacturing and supply chain platforms and operate reliably within production workflows. l Own or contribute to proactive proposals, RFP/RFI responses, estimates, delivery models, demonstrations and executive presentations. l Lead PoCs and pilots through production, incorporating MLOps, explainability, responsible AI, monitoring, cost control and governance. l Coordinate planning, staffing, technical reviews and execution governance with offshore engineering, data science and CoE teams. l Build reusable accelerators, reference architectures and solution assets for manufacturing and supply chain analytics. l Mentor data scientists, ML engineers and architects, establish technical standards and support opportunity qualification with account leadership. Qualifications Education: Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Operations Research, Supply Chain, Engineering or a related discipline; Master's or PhD desirable. Experience: Significant professional experience leading AI/ML and analytics solutions in manufacturing and supply chain environments, including taking initiatives from use-case discovery through production adoption. Must-Have Technical / Functional Skills l Strong AI/ML leadership with hands-on depth in manufacturing and supply chain analytics, from use-case discovery through production adoption. l Advanced machine learning and data science using Python, scikit-learn, PyTorch or TensorFlow, including feature engineering, model selection, evaluation, explainability and optimization. l Proven delivery of manufacturing use cases such as predictive mainten ance, anomaly detection, quality prediction, yield improvement, process optimization, computer vision inspection or energy optimization. l Proven delivery of supply chain use cases such as demand forecasting, inventory optimization, supply risk sensing, production planning, logistics optimization, order fulfillment or control-tower analytics. l Experience with time-series forecasting, optimization, simulation and machine learning techniques applied to operational data. l Experience integrating enterprise and industrial data from ERP, MES, WMS, TMS, planning platforms, IoT, sensor, historian and streaming sources. l Production-scale MLOps: MLflow, model serving and monitoring, feature stores, drift management, CI/CD, Docker and Kubernetes. l Expertise in at least one cloud AI and data stack: Google Cloud, Azure or AWS; familiarity with Databricks and/or Snowflake is desirable. l Understanding of modern data architecture, lakehouse patterns, Spark/PySpark, SQL, streaming, data quality, lineage and governance. l Working knowledge of GenAI and agentic patterns for manufacturing and supply chain knowledge assistance, root-cause analysis, operational decision support and workflow automation. l Ability to facilitate customer workshops, shape solution architectures, build business cases and communicate with operations, supply chain, engineering, data and executive stakeholders. l Experience leading distributed onsite-offshore teams and taking AI/ML initiatives from PoC through pilot to production. Generic Managerial Skills l Ability to lead a specialized AI/ML capability across accounts and teams without relying solely on formal authority. l Strong consultative communication with plant, operations, supply chain, engineering, technology and executive stakeholders. l Ability to translate business and operational challenges into scalable analytics and AI solutions with clear value measures. l Experience coordinating distributed onsite-offshore teams, mentoring technical talent and governing delivery quality. l Self-directed, pragmatic and comfortable building a new capability in an evolving unit; willing to travel to customer locations as required Salary Range: $160,700 - $220,000 #LI-AD1 Location Santa Clara, CA Function TECHNOLOGY Role Lead ID 437789 Skills Data Analytics Salary Range $160,700 - $220,000 Desired Candidate Profile Qualifications BACHELOR OF COMPUTER SCIENCE