Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We are seeking a senior-level Technical Program Manager to lead a complex, large-scale Google Cloud Platform (GCP) modernization program within the retail sector. This role will focus on driving program delivery, governance, and cross-program integration across three primary workstreams: Data Delivery, AI/ML Insights, and Cross Workstream.

The ideal candidate will have strong experience managing enterprise-scale programs involving GCP cloud technologies, AI/ML initiatives, and Tech Ops in complex operational environments. They must possess strong expertise in cross-functional stakeholder management up to the C-suite level, RAID management, budget tracking/AOP, and agile delivery methodologies.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Technical Program Manager (TPM) to join our Consulting team. In this role, you will lead the cross-functional delivery of key customer-facing retail capabilities—specifically driving our Loyalty & Rewards Program and Buy Quantity (Volume/Tiered Pricing & Promotions) platforms.

The ideal candidate combines deep hands-on expertise in technical program governance, financial management, and Agile methodologies with a forward-thinking mindset—actively leveraging modern AI tools to maximize efficiency and program velocity.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a senior Pharmaceutical Data & Analytics SME to support the Cystic Fibrosis Sales & Performance team. This role will serve as the functional expert across commercial data, Snowflake/lakehouse assets, reporting, and analytics while partnering closely with business and technology teams. The position will evolve into leading a dedicated analytics support pod

RESPONSIBILITIES:

• Act as the SME for Cystic Fibrosis commercial data, sales performance, and reporting.
• Partner with business stakeholders to define data requirements, KPIs, and reporting solutions.
• Support data validation, reconciliation, business rules, data quality, and metric definitions.
• Collaborate with data engineering teams on Snowflake/lakehouse architecture and reporting-ready data products.
• Guide offshore teams and help establish governance, documentation, and delivery processes for the future analytics pod.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,200 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an AI Solutions Engineer to lead the modernization of enterprise reporting, drive migration to modern BI platforms, and embed agentic AI workflows into business intelligence solutions. This role combines deep BI expertise with hands-on experience in AI-driven automation, helping organizations transition from legacy reporting systems to intelligent, scalable analytics platforms.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.

Key Responsibilities

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking a Senior Solutions Architect – Snowflake to lead the design and delivery of modern cloud data platforms that empower organizations to make data-driven decisions. In this role, you will partner with clients to understand complex business challenges, architect scalable and secure Snowflake solutions, and drive enterprise data modernization initiatives.

Requirements

AS A SNOWFLAKE SENIOR SOLUTIONS ARCHITECT, YOU WILL :

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 & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.We are looking for a highly skilled  AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Requirements

Key Requirements:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Program / Engagement Lead to lead a large-scale enterprise analytics transformation initiative focused on modernizing Plant Performance Reporting across manufacturing operations in the Americas. The engagement involves productionalizing an existing reporting framework, expanding standardized reporting across global manufacturing plants, establishing a scalable Snowflake data foundation, and delivering executive Power BI dashboards that enable data-driven operational and financial decision making.

The Engagement Lead will serve as the primary client-facing leader responsible for overall program delivery, executive stakeholder management, governance, cross-functional coordination, and successful rollout across business and IT organizations. The role will work closely with Finance, Supply Chain, Manufacturing, Plant Controllers, Data Engineering, Power BI, and Enterprise IT teams while directing offshore delivery teams.

RESPONSIBILITIES:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Power BI Developer will lead the design, strategy, and governance of the enterprise BI platform using Microsoft Power BI. This role involves assessing infrastructure requirements, defining best practices, guiding BI Engineers, enabling security, handling large data, and ensuring scalable, high-performing BI solutions that align with business needs.

Key Requirements: