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Associate Director/Director - Analytics Consulting - MedTech

Jersey City, New Jersey, United States

Pay
Pay not listedSimilar roles state $153K–$225K
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Tiger Analytics

What you’ll work on

Full posting
  • Lead end-to-end delivery of complex data and analytics programs

  • Serve as primary contact for client VPs and Directors, turning business problems into analytics designs

  • Lead and mentor a global team of data scientists and data engineers

  • Work with technical leads on scalable AI/ML pipelines and data architectures

  • Present findings, quantify business value and drive AI adoption in business processes

From the employer’s posting
Lead the end-to-end delivery of complex data and analytics programs
Act as the primary point of contact for client VPs and Directors
Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers
Work with technical leads to design of scalable AI/ML pipelines and data architectures
Present analytical findings and quantify the business value and drive the operationalization of AI into business processes

What you’ll bring

All qualifications

Core experience

  • 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.
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes

Preferred experience

  • 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
Qualification wording
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.
Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
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

Tools in this posting

  • Python
  • R
  • SQL
  • Hadoop
  • Hive
  • Tableau
Source — Tool mentions in context
- 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
- 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

Benefits in the posting

Full benefits wording
  • 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.

From the employer’s posting.

Posting record

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Open 3 monthsWe first saw this posting 115 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 6, 2026 · 115 days ago
Recorded sightings
202
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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.

Source details

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Pay

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Location & working pattern

Jersey City, New Jersey, United States

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.
More source context
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
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