Director - Product Owner (Pharma)

Tiger Analytics; Jersey City (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading analytics consulting firm is seeking a Mid-Senior level consultant to leverage data science in solving complex business problems in the Pharma and Lifescience domains. The role involves direct client engagement, translating business challenges into actionable analytics solutions, and managing data science products. Candidates should have extensive experience in data analytics and a strong understanding of statistical methodologies. This position offers significant career development opportunities in a fast-paced environment.

Benefits

Career Development Opportunities

Qualifications

• 12-18 years of experience, with at least 7 years in data analytics.
• Ability to engage with executive stakeholders.
• Strong project and team management skills.

Responsibilities

• Work on data science applications in Pharma and Lifescience.
• Translate business problems into analytics solutions.
• Present analytic solutions to business audiences.

Skills

Data Science

Machine Learning

Analytical Skills

SQL

Business Consulting

Education

Graduate in Business Analytics

MBA

Tools

R

Python

Qlik

Tableau

Databricks

Job description

1 month ago Be among the first 25 applicants

Tiger Analytics is an 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 deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities:

1. Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
2. Work directly with client stakeholders to translate business problems into high-level analytics solution designs
3. Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informed decisions
4. Experience in building and managing Data Science products for Commercial Analytics teams and use cases, such as Marketing Mix Modeling (MMX), Next Best Action, and Dynamic Targeting
5. Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
6. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient-level data triggers) using R, Python, Databricks, and deep knowledge of Qlik, PowerBI, Tableau for visualization
7. Familiarity with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources like TriNetX, Flatiron, Optum, Komodo etc
8. Ability to translate strategy into action; excellent analytical skills and the ability to communicate complex issues simply and to coordinate plans to resolve issues & mitigate risks
9. Experience working with all levels of management and consulting with key business stakeholders
10. Present analytic solutions to business audiences highlighting robustness and potential business value
11. Participate in discussions with team members to select and apply relevant analytic techniques and create actionable insights
12. Responsible for making presentations to senior management, communicating results to business teams, and developing plans to operationalize analytics solutions

Requirements:

• 12-18 years of professional work experience with at least 7 years in data analytics
• Ability to engage with executive/VP level stakeholders to translate business problems into high-level analytics solutions
• Solid understanding of statistical and machine learning algorithms
• Strong project and team management skills, with experience working with global teams
• Strong SQL skills and hands-on experience with R, Python, and visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to collaborate with IT and Data Engineering teams to embed analytic outputs into business processes
• Graduate in Business Analytics, MBA, or equivalent work experience

Benefits:

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

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Consulting
• Industries: IT Services and IT Consulting