Delivery Partner - Analytics Consulting (Capital Market / Retail Banking)
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 Banking & Financial Services (BFS) industry, with a focus on capital markets or retail banking. 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 into scalable analytics solutions, for example:
- Ensure solutions meet BFS regulatory, model risk management, data governance and explainability expectations.
- 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 BFS industry, with specialization in capital markets or retail banking.
- Solid understanding of AI/ML and Agentic AI capabilities in BFS, such as risk and fraud modeling, time-series and market data analytics, NLP/GenAI for document and conversational use cases, and AI copilots for front-office and operations teams.
- Working knowledge of BFS regulatory and governance considerations (e.g., model risk management, data privacy, AML/KYC, and regulatory reporting requirements).
- 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.