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Tiger Analytics, a global Data & AI leader, seeks a Country Lead in Hong Kong to drive new client acquisition and expand strategic accounts. You will work with regional retailers, building AI & data analytics solutions that translate into measurable business value.
You will nurture partnerships with hyperscalers (Microsoft, Google, AWS) and data platforms while leading a team of consultants, data scientists, and engineers to deliver cross-vertical growth across the market.
With 7000+ employees, Tiger Analytics is the largest pure play Data & AI company globally. We work with Fortune 500 companies to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Headquartered in the US, with offices in LATAM and Europe, Tiger continues to expand in Asia with a strong client base and offices in Singapore, Philippines, Malaysia and Hong Kong
Our deep understanding of business value chains, agile operating models, platforms and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. Tiger is recognised by industry, analysts & hyperscalers as a leader - we are a preferred and awarded partner across Microsoft, Google, Databricks & AWS.
https://www.tigeranalytics.com/newsroom/awards-and-recognitions/
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of brilliant technologists and consultants
As a Country Lead based in Hong Kong, you will be driving new client acquisition while expanding and nurturing existing strategic accounts. You will be working with the largest regional & global retailers in the market, offering solutions on the latest applications of AI & Data Analytics to solve complex business problems, demonstrating significant business value. In doing so, you will focus on driving cross vertical expansion and build partnerships with hyperscalers (Microsoft / Google / AWS) and Data companies (Databricks, Snowflake) & closely collaborate with a team of consultants, data scientists, and data engineers.