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Tiger Analytics

Director- Client Partner (CPG)

Reposted 12 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in London, England
Expert/Leader
In-Office or Remote
Hiring Remotely in London, England
Expert/Leader
As a client partner, you'll manage client relationships, deliver analytics solutions, drive account growth, and lead a data analytics team.
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Description

Tiger Analytics is the largest AI and 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 depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a presence in Europe, Singapore and LATAM markets.

We are the fastest-growing and largest pure-play provider in the space. We are also the only bootstrapped firm in this space looking to go IPO in the next 3 to 5 years. If you are passionate about being associated with a company like ours and joining our mission to be the best AI firm in the world, providing certainty to our clients in their businesses, we would like to speak with you.

Responsibilities

  • As a client partner, you will be responsible for delivery, account management, client relationships, and account growth.
  • You will be responsible for demonstrating business value through solutions that help meet strategic, operational, and tactical objectives, and making executive presentations.
  • You will be responsible for scaling the pilots / POCs to a long-term transformative program and delivering continuous business value.
  • You will work with the client’s business stakeholders to understand key business questions, challenges, and information needs, and help develop an analytics roadmap that identifies and prioritizes key analytics use cases for execution.
  • You will be collaborating with sales leaders (both new sales and account sales) to create the right POVs and proposals to help win new logos and drive growth in existing clients.
  • You will work on some of the latest data science applications to solve complex business problems in Consumer Product Goods (CPG) and Retail.
  • You will lead a team of data and analytics professionals and directly work with key client stakeholders to help define the business problem and determine solution requirements.
  • You will help drive our brand presence in the market
  • You will also help recruit strong consultants and team members to help build a presence in the market.
Requirements
  • 16-20 years experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large programs.
  • Experience managing large accounts and actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with CXO and VP / Director level stakeholders from the client’s team and with internal remote teams to define business problems and construct solution approaches.
  • Knowledge of domains like CPG, Retail & FMCG will be highly preferred.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, leading in communicating client business problem context to the remote teams and effectively leveraging them in execution, while owning client presentation, project management, and expectation setting.
  • Open to travel as needed.
  • Education Qualification – Bachelor's or Higher degree in Statistics, Mathematics, or a related quantitative field.
Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

Top Skills

AI
Data Engineering
Data Science
Machine Learning

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