AI Solutions Lead
1 month ago
Tiger Analytics, a global AI and analytics consulting firm, is seeking an exceptional professional to lead the development of advanced analytics and data solutions. With a strong focus on delivering business value to clients in the insurance and healthcare industries, this role offers a unique opportunity to drive innovation and growth.
As a Senior Analytics Manager at Tiger Analytics, you will be responsible for working with cross-functional teams to design and deploy cutting-edge analytics solutions. Your expertise in translating complex business problems into clear analytics problem statements will be essential in driving project success.
This role requires a minimum of 7-10 years of experience in delivering advanced analytics, engineering, and BI solutions through analytics consulting. In addition, you should have a proven track record of leading multidisciplinary teams and driving stakeholder management. Strong analytical and problem-solving skills, as well as excellent written and oral communication skills, are also essential.
The estimated annual salary for this position is around $150,000, depending on location and experience. Based in Delhi/NCR, Bangalore, Chennai, or Hyderabad, you will have the opportunity to work with a talented team of professionals who share your passion for innovation and excellence.
Key Responsibilities:
- Lead multiple project teams consisting of consultants, analysts, data scientists, BI experts, data/ML engineers, etc.
- Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high-impact business problems that could be solved through AI-based solutions
- Translate business problems (sometimes ambiguous) into clear analytics problem statements
- Design plans to develop and deploy advanced analytics and data solutions with a product mindset in collaboration with internal CoEs e.g., Cloud, Engineering, Data Sciences, MLOps, etc.
- Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities.
- Measure and articulate how analytics results improve clients' business & financial metrics.
- Contribute to organization building through training, mentoring, and developing repeatable analytics approaches
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