Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.
Responsibilities
Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.
Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.
Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.
Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack
Domain Expertise: Apply deep Medical device domain knowledge to validate model outputs and ensure they align with industry nuances
Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.
Requirements
- 13-15 years of total experience with 7+ years in Medical device/MedTech domain with consulting.
- Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
- Deep knowledge and understanding of the Medical Device/MedTech industry, including its unique commercial or operational landscape.
- Strong project management and team management skills and ability to work with global teams.
- Solid understanding of statistical and machine learning algorithms is a plus.
- Strong SQL skills and experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
- Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
- Graduate in Business Analytics or MBA or equivalent work experience
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.