Delivery Partner - Analytics Consulting (Semiconductor / Computer Hardware)
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services and solutions that help businesses achieve real outcomes and value at scale. Our mission is to push the boundaries of what AI and analytics can do so enterprises can navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 7,000+ technologists and consultants is based in the US, Canada, the UK, India, Singapore and Australia. We work closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, High-Tech (Semiconductor & Computer Hardware), Life Sciences and Healthcare. Many of our leaders feature in Top 10 and 40 Under 40 lists, reflecting our commitment to innovation and excellence.
We are Great Place to Work-Certified™ (2022-26) and recognized by analyst firms such as Forrester, Gartner, HFS, Everest and ISG. We have also been ranked among the “Best” and “Fastest Growing” analytics firms by Inc., Financial Times, Economic Times and Analytics India Magazine.
About the role:
We are looking for an experienced Analytics Leader to own end-to-end delivery of AI/ML and data engineering engagements for clients in the semiconductor and computer hardware industry. You will lead and grow a multidisciplinary delivery team and act as the primary delivery contact for business and technical stakeholders. You will ensure high-quality, timely outcomes using Agile delivery practices.
Key responsibilities:
- Own end-to-end delivery of AI/ML, Generative/Agentic AI and data engineering programs, from scoping and solution design through deployment and adoption.
- Lead, mentor and scale a multidisciplinary team of data scientists, data engineers, MLOps engineers and analysts.
- Serve as the primary point of contact for client business and technical stakeholders, managing expectations, risks, escalations and executive communication.
- Drive delivery governance using Agile methodology, including sprint planning, backlog management, reporting and continuous improvement.
- Translate business problems in areas such as yield and process optimization, defect detection, test optimization, predictive maintenance, supply chain and demand planning, and engineering productivity into scalable analytics solutions.
- Partner with internal solutioning and practice teams to identify new opportunities and grow the account.
Required skills & qualifications:
- 15+ years of hands-on delivery experience across the analytics value chain, including managing multidisciplinary teams of DS, DE, MLOps and related roles.
- Proven experience delivering analytics, AI/ML or data engineering solutions in the semiconductor or computer hardware industry. This could cover fab/manufacturing, design (EDA), test and assembly, supply chain, or product engineering.
- Solid understanding of AI/ML and Agentic AI solutions and capabilities in the semiconductor and hardware space, such as computer vision for defect detection, time-series and sensor analytics, and AI copilots for design and engineering.
- Proficiency in delivering projects using Agile methodology with Jira or similar tools.
- Strong communication, interpersonal and articulation skills.
- Experience managing multiple business and technical client stakeholders in a matrix environment, commensurate with experience.